Datasets:
davidfant
/
rapidapi-example-responses

Dataset card Data Studio Files
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3f90d297-3157-494a-92c1-6fa5136ffc8f/055d6cbf-0011-4416-ac4b-fd7fa2df348d/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MOM
Momentum(MOM) compares the current price with the previous price N timeperiods ago.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MOM - Momentum", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "mom": "-1.14"}, {"datetime": "2019-08-09 15:58:00", "mom": "-1.38"}, {"datetime": "2019-08-09 15:57:00", "mom": "-1.43159"}, {"datetime": "2019-08-09 15:56:00", "mom": "-1.6266"}, {"datetime": "2019-08-09 15:55:00", "mom": "-1.5347"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "mom": {"type": "string"}}, "required": ["datetime", "mom"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/896d926d-5978-4fb8-ae72-523a38a52aaa/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
LINEARREGANGLE
Linear Regression Angle(LINEARREGANGLE) calculates the angle of the linear regression trendline.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "LINEARREGANGLE - Linear Regression Angle", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "linearregangle": "-8.79357"}, {"datetime": "2019-08-09 15:58:00", "linearregangle": "-10.00332"}, {"datetime": "2019-08-09 15:57:00", "linearregangle": "-10.08348"}, {"datetime": "2019-08-09 15:56:00", "linearregangle": "-9.78514"}, {"datetime": "2019-08-09 15:55:00", "linearregangle": "-8.99228"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "linearregangle": {"type": "string"}}, "required": ["datetime", "linearregangle"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/a3f693db-fd69-418d-ba4e-699e6806f2e9/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ROCR
Rate of change ratio(ROCR) calculates the ratio between the current price and price n timeperiods ago. Formula: (price / prevPrice).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ROCR - Rate of change ratio", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "rocr": "0.99436"}, {"datetime": "2019-08-09 15:58:00", "rocr": "0.99318"}, {"datetime": "2019-08-09 15:57:00", "rocr": "0.99293"}, {"datetime": "2019-08-09 15:56:00", "rocr": "0.99197"}, {"datetime": "2019-08-09 15:55:00", "rocr": "0.99243"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "rocr": {"type": "string"}}, "required": ["datetime", "rocr"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/53249f02-0a11-47d3-82c2-55e997323dbf/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
EMA
Exponential Moving Average(EMA) places greater importance on recent data points than the normal Moving Average(MA).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "EMA - Exponential Moving Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ema": "201.38109"}, {"datetime": "2019-08-09 15:58:00", "ema": "201.46387"}, {"datetime": "2019-08-09 15:57:00", "ema": "201.59608"}, {"datetime": "2019-08-09 15:56:00", "ema": "201.7401"}, {"datetime": "2019-08-09 15:55:00", "ema": "201.91678"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "ema": {"type": "string"}}, "required": ["datetime", "ema"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/0099bd99-ac90-48e5-8722-7eb338b71ca0/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SUB
Subtraction of values of two specified time series.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "SUB - Arithmetic Subtraction", "series_type_1": "open", "series_type_2": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sub": "0.404"}, {"datetime": "2019-08-09 15:58:00", "sub": "0.29001"}, {"datetime": "2019-08-09 15:57:00", "sub": "0.16"}, {"datetime": "2019-08-09 15:56:00", "sub": "0.22659"}, {"datetime": "2019-08-09 15:55:00", "sub": "0.68999"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type_1": {"type": "string"}, "series_type_2": {"type": "string"}}, "required": ["name", "series_type_1", "series_type_2"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "sub": {"type": "string"}}, "required": ["datetime", "sub"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/08250e41-0d00-4421-95cb-f876c80eec5b/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
APO
Absolute Price Oscillator(APO) calculates the difference between two price moving averages.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_period": 12, "ma_type": "SMA", "name": "APO - Absolute Price Oscillator", "series_type": "close", "slow_period": 26}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"apo": "-0.54508", "datetime": "2019-08-09 15:59:00"}, {"apo": "-0.47169", "datetime": "2019-08-09 15:58:00"}, {"apo": "-0.39004", "datetime": "2019-08-09 15:57:00"}, {"apo": "-0.3087", "datetime": "2019-08-09 15:56:00"}, {"apo": "-0.23315", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"fast_period": {"type": "integer"}, "ma_type": {"type": "string"}, "name": {"type": "string"}, "series_type": {"type": "string"}, "slow_period": {"type": "integer"}}, "required": ["fast_period", "ma_type", "name", "series_type", "slow_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"apo": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["apo", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/cc29b6d2-ace8-4550-8799-c63f9cf94a26/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ROCR100
Rate of change ratio 100 scale(ROCR100) calculates the ratio with 100 scale between the current price and price n timeperiods ago. Formula: (price / prevPrice) * 100.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ROCR100 - Rate of change ratio 100 scale", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "rocr100": "99.43617"}, {"datetime": "2019-08-09 15:58:00", "rocr100": "99.31789"}, {"datetime": "2019-08-09 15:57:00", "rocr100": "99.29287"}, {"datetime": "2019-08-09 15:56:00", "rocr100": "99.19737"}, {"datetime": "2019-08-09 15:55:00", "rocr100": "99.24274"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "rocr100": {"type": "string"}}, "required": ["datetime", "rocr100"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/eea94ebd-f586-4322-9239-aed0d574640a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
TYPPRICE
Typical Price(TYPPRICE).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "TYPPRICE - Typical Price"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "typprice": "201.05266"}, {"datetime": "2019-08-09 15:58:00", "typprice": "200.96833"}, {"datetime": "2019-08-09 15:57:00", "typprice": "201.00001"}, {"datetime": "2019-08-09 15:56:00", "typprice": "201.10893"}, {"datetime": "2019-08-09 15:55:00", "typprice": "201.32"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "typprice": {"type": "string"}}, "required": ["datetime", "typprice"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/fb5fe6e3-2e11-4f67-bfe4-201651a0c0ec/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SMA
Simple Moving Average(SMA) is an arithmetic moving average calculated by adding the latest closing prices and then dividing them by the number of time periods.
200
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{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "SMA - Simple Moving Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sma": "201.41205"}, {"datetime": "2019-08-09 15:58:00", "sma": "201.53871"}, {"datetime": "2019-08-09 15:57:00", "sma": "201.69205"}, {"datetime": "2019-08-09 15:56:00", "sma": "201.85111"}, {"datetime": "2019-08-09 15:55:00", "sma": "202.03185"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "sma": {"type": "string"}}, "required": ["datetime", "sma"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/5d73e7a1-124e-47ba-acbc-e94ad2c2e07c/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
VAR
Variance(VAR) calculates the spread between data points to determine how far they from the mean.
200
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{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "VAR - Variance", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "var": "0.18755"}, {"datetime": "2019-08-09 15:58:00", "var": "0.22418"}, {"datetime": "2019-08-09 15:57:00", "var": "0.22713"}, {"datetime": "2019-08-09 15:56:00", "var": "0.21575"}, {"datetime": "2019-08-09 15:55:00", "var": "0.18149"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "var": {"type": "string"}}, "required": ["datetime", "var"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/c005e31f-ba80-43b0-b1c3-d019acfc8b31/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
STDDEV
Standard Deviation(STDDEV) is used to measure volatility. This might be important when assessing risks.
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{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "STDDEV - Standard Deviation", "sd": 2, "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "stddev": "0.86613"}, {"datetime": "2019-08-09 15:58:00", "stddev": "0.94696"}, {"datetime": "2019-08-09 15:57:00", "stddev": "0.95317"}, {"datetime": "2019-08-09 15:56:00", "stddev": "0.92898"}, {"datetime": "2019-08-09 15:55:00", "stddev": "0.85204"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "sd": {"type": "integer"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "sd", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "stddev": {"type": "string"}}, "required": ["datetime", "stddev"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/3876ed20-d1cf-4138-9a0b-b498c7b45d1a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
CCI
Commodity Channel Index(CCI) is a universal indicator that can help to identify new trends and assess current critical conditions.
200
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{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "CCI - Commodity Channel Index", "time_period": 20}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"cci": "-122.30794", "datetime": "2019-08-09 15:59:00"}, {"cci": "-152.88827", "datetime": "2019-08-09 15:58:00"}, {"cci": "-180.08234", "datetime": "2019-08-09 15:57:00"}, {"cci": "-206.65411", "datetime": "2019-08-09 15:56:00"}, {"cci": "-225.40021", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"cci": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["cci", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/139ad634-81a2-4891-8810-b1eb8d892c86/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
HT_PHASOR
Hilbert Transform Phasor Components(HT_PHASOR) is part of Hilbert Transforms concepts. You can read more about it in the Rocket Science for Traders book by John F. Ehlers.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "HT_PHASOR - Hilbert Transform Phasor Components", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "in_phase": "-0.56826", "quadrature": "-0.43318"}, {"datetime": "2019-08-09 15:58:00", "in_phase": "-0.61937", "quadrature": "-0.09941"}, {"datetime": "2019-08-09 15:57:00", "in_phase": "-0.60477", "quadrature": "-0.16807"}, {"datetime": "2019-08-09 15:56:00", "in_phase": "-0.57758", "quadrature": "-0.19125"}, {"datetime": "2019-08-09 15:55:00", "in_phase": "-0.52678", "quadrature": "-0.33813"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/f91db283-871f-4b99-84db-52f91658d2e9/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ADX
Average Directional Index(ADX) is used to decide if the price trend is strong.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ADX - Average Directional Index", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"adx": "49.22897", "datetime": "2019-08-09 15:59:00"}, {"adx": "47.73058", "datetime": "2019-08-09 15:58:00"}, {"adx": "44.90916", "datetime": "2019-08-09 15:57:00"}, {"adx": "41.9312", "datetime": "2019-08-09 15:56:00"}, {"adx": "38.83754", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/03e6d9f2-1282-46b8-9368-3a7dce7605ef/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SAREXT
Parabolic SAR Extended(SAREXT) inherits the idea of classic SAR indicator but adds more flexibility in setting parameters.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"acceleration_limit_long": 0.02, "acceleration_limit_short": 0.02, "acceleration_long": 0.02, "acceleration_max_long": 0.2, "acceleration_max_short": 0.2, "acceleration_short": 0.02, "name": "SAREXT - Parabolic SAR Extended", "offset_on_reverse": 0, "start_value": 0}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sarext": "-201.54365"}, {"datetime": "2019-08-09 15:58:00", "sarext": "-201.71956"}, {"datetime": "2019-08-09 15:57:00", "sarext": "-201.92195"}, {"datetime": "2019-08-09 15:56:00", "sarext": "-202.117"}, {"datetime": "2019-08-09 15:55:00", "sarext": "-202.31643"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/ff69d246-df6b-4801-aa38-bc962a6dfbe8/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
LOG10
Logarithm to base 10(LOG10) transforms all data points with logarithm to base 10.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "LOG10 - Logarithm to base 10", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "log10": "2.3033"}, {"datetime": "2019-08-09 15:58:00", "log10": "2.30306"}, {"datetime": "2019-08-09 15:57:00", "log10": "2.30324"}, {"datetime": "2019-08-09 15:56:00", "log10": "2.30327"}, {"datetime": "2019-08-09 15:55:00", "log10": "2.30348"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/23dac8f1-e36c-4ce3-80fa-707a6007b629/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
CRSI
ConnorsRSI(CRSI) is used to show the oversold and overbought levels of the RSI values.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "CRSI - ConnorsRSI", "percent_rank_period": 100, "rsi_period": 3, "series_type": "close", "up_down_length": 2}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"crsi": "74.76102", "datetime": "2019-08-09 15:59:00"}, {"crsi": "16.46438", "datetime": "2019-08-09 15:58:00"}, {"crsi": "25.13687", "datetime": "2019-08-09 15:57:00"}, {"crsi": "14.47102", "datetime": "2019-08-09 15:56:00"}, {"crsi": "11.14242", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/4e5f6461-3052-4747-bbb7-b00ec1c1a391/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
DPO
Detrended Price Oscillator(DPO) is used to separate price from the trend, in order to more clearly identify the length of cycles.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"centered": false, "name": "DPO - Detrended Price Oscillator", "series_type": "close", "time_period": 21}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "dpo": "0.36828"}, {"datetime": "2019-08-09 15:58:00", "dpo": "0.49811"}, {"datetime": "2019-08-09 15:57:00", "dpo": "0.424"}, {"datetime": "2019-08-09 15:56:00", "dpo": "0.35406"}, {"datetime": "2019-08-09 15:55:00", "dpo": "0.25089"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"centered": {"type": "boolean"}, "name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["centered", "name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "dpo": {"type": "string"}}, "required": ["datetime", "dpo"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/c92c50d8-fa5d-4f29-9f33-9c7bbb8f2378/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MACD
Moving Average Convergence Divergence(MACD) is a trend following momentum indicator, which works by subtracting the longer moving average from the shorter one. MACD has an unstable period ~ 100.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_period": 12, "name": "MACD - Moving Average Convergence Divergence", "series_type": "close", "signal_period": 9, "slow_period": 26}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "macd": "-0.3998", "macd_hist": "-0.147", "macd_signal": "-0.25279"}, {"datetime": "2019-08-09 15:58:00", "macd": "-0.38253", "macd_hist": "-0.16649", "macd_signal": "-0.21604"}, {"datetime": "2019-08-09 15:57:00", "macd": "-0.34322", "macd_hist": "-0.1688", "macd_signal": "-0.17442"}, {"datetime": "2019-08-09 15:56:00", "macd": "-0.29671", "macd_hist": "-0.16449", "macd_signal": "-0.13222"}, {"datetime": "2019-08-09 15:55:00", "macd": "-0.23439", "macd_hist": "-0.14329", "macd_signal": "-0.0911"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/b9dc9e56-b950-4388-8298-5f3a64642060/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
LINEARREGINTERCEPT
Linear Regression Intercept(LINEARREGINTERCEPT) calculates the intercept for the linear regression trendline for each data point.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "LINEARREGINTERCEPT - Linear Regression Intercept", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "linearregintercept": "202.03082"}, {"datetime": "2019-08-09 15:58:00", "linearregintercept": "202.24426"}, {"datetime": "2019-08-09 15:57:00", "linearregintercept": "202.40337"}, {"datetime": "2019-08-09 15:56:00", "linearregintercept": "202.54097"}, {"datetime": "2019-08-09 15:55:00", "linearregintercept": "202.66483"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "linearregintercept": {"type": "string"}}, "required": ["datetime", "linearregintercept"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/9e7288bc-6bd2-4e0d-8f19-73e5be926359/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MININDEX
Index of lowest value over period(MININDEX).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MININDEX - Index of lowest value over period", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "minidx": "498"}, {"datetime": "2019-08-09 15:58:00", "minidx": "498"}, {"datetime": "2019-08-09 15:57:00", "minidx": "497"}, {"datetime": "2019-08-09 15:56:00", "minidx": "496"}, {"datetime": "2019-08-09 15:55:00", "minidx": "495"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/bc2c0b60-c4e2-43c2-b18a-57f4ff062c0f/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MIDPOINT
MidPoint over period(MIDPOINT) is calculated as (highest value + lowest value) / 2.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MIDPOINT - MidPoint over period", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "midpoint": "201.4925"}, {"datetime": "2019-08-09 15:58:00", "midpoint": "201.5625"}, {"datetime": "2019-08-09 15:57:00", "midpoint": "201.6675"}, {"datetime": "2019-08-09 15:56:00", "midpoint": "201.7425"}, {"datetime": "2019-08-09 15:55:00", "midpoint": "201.895"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/29187c6c-6e7e-4768-9118-4e16ceeead15/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ADD
Composite of values of two specified time series.
200
null
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{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type_1": {"type": "string"}, "series_type_2": {"type": "string"}}, "required": ["name", "series_type_1", "series_type_2"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"add": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["add", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/a388dc59-a687-4aaf-9a6e-19fd742abdf9/0/0
Twelve Data
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9.9
STOCH
Stochastic Oscillator(STOCH) is used to decide if the price trend is strong.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_k_period": 14, "name": "STOCH - Stochastic Oscillator", "slow_d_period": 3, "slow_dma_type": "SMA", "slow_k_period": 1, "slow_kma_type": "SMA"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "slow_d": "7.5293", "slow_k": "11.35168"}, {"datetime": "2019-08-09 15:58:00", "slow_d": "3.74541", "slow_k": "5.10019"}, {"datetime": "2019-08-09 15:57:00", "slow_d": "3.24291", "slow_k": "6.13605"}, {"datetime": "2019-08-09 15:56:00", "slow_d": "2.35854", "slow_k": "0.0"}, {"datetime": "2019-08-09 15:55:00", "slow_d": "3.49697", "slow_k": "3.59267"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/2425e8e7-24f8-4030-9f4c-7b81a2db0003/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
HT_DCPHASE
Hilbert Transform Dominant Cycle Phase(HT_DCPHASE) is part of Hilbert Transforms concepts. You can read more about it in the Rocket Science for Traders book by John F. Ehlers.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "HT_DCPHASE - Hilbert Transform Dominant Cycle Phase", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ht_dcphase": "-38.50975"}, {"datetime": "2019-08-09 15:58:00", "ht_dcphase": "-44.28698"}, {"datetime": "2019-08-09 15:57:00", "ht_dcphase": "310.07743"}, {"datetime": "2019-08-09 15:56:00", "ht_dcphase": "306.54431"}, {"datetime": "2019-08-09 15:55:00", "ht_dcphase": "299.8704"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "ht_dcphase": {"type": "string"}}, "required": ["datetime", "ht_dcphase"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/f1a4ef2d-ac38-4248-bcb9-6b4de52c6abf/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
Exchanges
This API call return array of stock, ETF or index exchanges available at Twelve Data API. This list is daily updated.
200
null
{"data": [{"code": "XBRU", "country": "Belgium", "name": "Euronext", "timezone": "Europe/Brussels"}, {"code": "BVMF", "country": "Brazil", "name": "Bovespa", "timezone": "America/Sao_Paulo"}, {"code": "XCNQ", "country": "Canada", "name": "CNQ", "timezone": "America/Toronto"}, {"code": "NEOE", "country": "Canada", "name": "NEO", "timezone": "America/Toronto"}, {"code": "XTSX", "country": "Canada", "name": "TSXV", "timezone": "America/Toronto"}, {"code": "XTSE", "country": "Canada", "name": "TSX", "timezone": "America/Toronto"}, {"code": "XPAR", "country": "France", "name": "Euronext", "timezone": "Europe/Paris"}, {"code": "XHKG", "country": "Hong Kong", "name": "HKEX", "timezone": "Asia/Hong_Kong"}, {"code": "XNSE", "country": "India", "name": "NSE", "timezone": "Asia/Kolkata"}, {"code": "XBOM", "country": "India", "name": "BSE", "timezone": "Asia/Kolkata"}, {"code": "XAMS", "country": "Netherlands", "name": "Euronext", "timezone": "Europe/Amsterdam"}, {"code": "XLON", "country": "United Kingdom", "name": "LSE", "timezone": "Europe/London"}, {"code": "Grey", "country": "United States", "name": "OTC", "timezone": "America/New_York"}, {"code": "XNCM", "country": "United States", "name": "NASDAQ", "timezone": "America/New_York"}, {"code": "XASE", "country": "United States", "name": "NYSE", "timezone": "America/New_York"}, {"code": "ARCX", "country": "United States", "name": "NYSE", "timezone": "America/New_York"}, {"code": "XNGS", "country": "United States", "name": "NASDAQ", "timezone": "America/New_York"}, {"code": "XNMS", "country": "United States", "name": "NASDAQ", "timezone": "America/New_York"}, {"code": "XNYS", "country": "United States", "name": "NYSE", "timezone": "America/New_York"}, {"code": "IEXG", "country": "United States", "name": "IEX", "timezone": "America/New_York"}, {"code": "BATS", "country": "United States", "name": "CBOE", "timezone": "America/Chicago"}, {"code": "OTCQX", "country": "United States", "name": "OTC", "timezone": "America/New_York"}, {"code": "OTCQB", "country": "United States", "name": "OTC", "timezone": "America/New_York"}, {"code": "Pink", "country": "United States", "name": "OTC", "timezone": "America/New_York"}, {"code": "Expert Market", "country": "United States", "name": "OTC", "timezone": "America/New_York"}], "status": "ok"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "array", "items": {"type": "object", "properties": {"code": {"type": "string"}, "country": {"type": "string"}, "name": {"type": "string"}, "timezone": {"type": "string"}}, "required": ["code", "country", "name", "timezone"]}}, "status": {"type": "string"}}, "required": ["data", "status"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/5f94d905-2b6f-41f9-9151-bc33476f6b9a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SQRT
Square Root(SQRT) transforms input data with square root.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "SQRT - Square Root", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sqrt": "14.17921"}, {"datetime": "2019-08-09 15:58:00", "sqrt": "14.17515"}, {"datetime": "2019-08-09 15:57:00", "sqrt": "14.17815"}, {"datetime": "2019-08-09 15:56:00", "sqrt": "14.17862"}, {"datetime": "2019-08-09 15:55:00", "sqrt": "14.18203"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "sqrt": {"type": "string"}}, "required": ["datetime", "sqrt"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/a724ce5d-4ac5-488b-8014-65be3490f4ed/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
TRIMA
Triangular Moving Average(TRIMA) smooths out price fluctuations, but places more weight on the prices in middle of the time period.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "TRIMA - Triangular Moving Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "trima": "201.36415"}, {"datetime": "2019-08-09 15:58:00", "trima": "201.54661"}, {"datetime": "2019-08-09 15:57:00", "trima": "201.72207"}, {"datetime": "2019-08-09 15:56:00", "trima": "201.8914"}, {"datetime": "2019-08-09 15:55:00", "trima": "202.05193"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "trima": {"type": "string"}}, "required": ["datetime", "trima"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/460f04f5-25a7-414c-aa2e-3fda15bd1b50/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
TSF
Time Series Forecast(TSF) calculates trend based on the last points of multiple regression trendlines.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "TSF - Time Series Forecast", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "tsf": "200.63858"}, {"datetime": "2019-08-09 15:58:00", "tsf": "200.65678"}, {"datetime": "2019-08-09 15:57:00", "tsf": "200.8029"}, {"datetime": "2019-08-09 15:56:00", "tsf": "200.9888"}, {"datetime": "2019-08-09 15:55:00", "tsf": "201.24061"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "tsf": {"type": "string"}}, "required": ["datetime", "tsf"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/89a56dad-1583-46e8-9d4c-e4348a3f16e6/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ADXR
Average Directional Movement Index Rating(ADXR) is a smoothed version of the ADX indicator. ADXR quantifies momentum change in the ADX.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ADXR - Average Directional Movement Index Rating", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"adxr": "37.43665", "datetime": "2019-08-09 15:59:00"}, {"adxr": "36.83599", "datetime": "2019-08-09 15:58:00"}, {"adxr": "35.58524", "datetime": "2019-08-09 15:57:00"}, {"adxr": "34.41498", "datetime": "2019-08-09 15:56:00"}, {"adxr": "33.21139", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"adxr": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["adxr", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/bc53ce0a-aa36-44b9-9c3f-ebc2cc4c1699/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
HT_DCPERIOD
Hilbert Transform Dominant Cycle Period(HT_DCPERIOD) is part of Hilbert Transforms concepts. You can read more about it in the Rocket Science for Traders book by John F. Ehlers.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "HT_DCPERIOD - Hilbert Transform Dominant Cycle Period", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ht_dcperiod": "28.12565"}, {"datetime": "2019-08-09 15:58:00", "ht_dcperiod": "27.7569"}, {"datetime": "2019-08-09 15:57:00", "ht_dcperiod": "27.72609"}, {"datetime": "2019-08-09 15:56:00", "ht_dcperiod": "27.26459"}, {"datetime": "2019-08-09 15:55:00", "ht_dcperiod": "27.00303"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "ht_dcperiod": {"type": "string"}}, "required": ["datetime", "ht_dcperiod"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/db9696ef-1047-4829-b9e5-a0fe73e6b9b4/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
OBV
On Balance Volume(OBV) is a momentum indicator, which uses volume flow to forecast upcoming price changes.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "OBV - On Balance Volume", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "obv": "540374.0"}, {"datetime": "2019-08-09 15:58:00", "obv": "68087.0"}, {"datetime": "2019-08-09 15:57:00", "obv": "277941.0"}, {"datetime": "2019-08-09 15:56:00", "obv": "426973.0"}, {"datetime": "2019-08-09 15:55:00", "obv": "605865.0"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "obv": {"type": "string"}}, "required": ["datetime", "obv"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/d3517991-866d-4825-bdd2-50e8aed20ba9/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SUM
Summation of values of two specified time series.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "SUM - Vector Summation", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sum": "1812.70842"}, {"datetime": "2019-08-09 15:58:00", "sum": "1813.84842"}, {"datetime": "2019-08-09 15:57:00", "sum": "1815.22842"}, {"datetime": "2019-08-09 15:56:00", "sum": "1816.66002"}, {"datetime": "2019-08-09 15:55:00", "sum": "1818.28662"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "sum": {"type": "string"}}, "required": ["datetime", "sum"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/cd6f6258-f164-4fe3-9b24-d4867c9a20ef/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ICHIMOKU
Ichimoku Kinkō Hyō(ICHIMOKU) is a group of technical indicators that shows trend direction, momentum, and support & resistance levels. Overall it tends to improve the accuracy of forecasts.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"base_line_period": 26, "conversion_line_period": 9, "include_ahead_span_period": true, "lagging_span_period": 26, "leading_span_b_period": 52, "name": "ICHIMOKU - Ichimoku Kink\u014d Hy\u014d"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"chikou_span": "199.95499", "datetime": "2019-08-09 15:59:00", "kijun_sen": "201.42", "senkou_span_a": "201.49", "senkou_span_b": "200.35501", "tenkan_sen": "200.33"}, {"chikou_span": "199.95499", "datetime": "2019-08-09 15:58:00", "kijun_sen": "201.6175", "senkou_span_a": "201.4925", "senkou_span_b": "200.395", "tenkan_sen": "200.64"}, {"chikou_span": "199.95499", "datetime": "2019-08-09 15:57:00", "kijun_sen": "201.25", "senkou_span_a": "201.5175", "senkou_span_b": "200.445", "tenkan_sen": "200.16"}, {"chikou_span": "199.95499", "datetime": "2019-08-09 15:56:00", "kijun_sen": "201.6175", "senkou_span_a": "201.6025", "senkou_span_b": "200.41", "tenkan_sen": "200.16"}, {"chikou_span": "199.95499", "datetime": "2019-08-09 15:55:00", "kijun_sen": "201.6175", "senkou_span_a": "201.25", "senkou_span_b": "200.445", "tenkan_sen": "200.64"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"base_line_period": {"type": "integer"}, "conversion_line_period": {"type": "integer"}, "include_ahead_span_period": {"type": "boolean"}, "lagging_span_period": {"type": "integer"}, "leading_span_b_period": {"type": "integer"}, "name": {"type": "string"}}, "required": ["base_line_period", "conversion_line_period", "include_ahead_span_period", "lagging_span_period", "leading_span_b_period", "name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"chikou_span": {"type": "string"}, "datetime": {"type": "string"}, "kijun_sen": {"type": "string"}, "senkou_span_a": {"type": "string"}, "senkou_span_b": {"type": "string"}, "tenkan_sen": {"type": "string"}}, "required": ["chikou_span", "datetime", "kijun_sen", "senkou_span_a", "senkou_span_b", "tenkan_sen"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/3d064d01-5da6-4ef2-89fd-83e2c98cf4a9/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
AD
Chaikin A/D Line(AD) calculates the Advance/Decline of an asset. This indicator belongs to the group of Volume Indicators.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "AD - Chaikin A/D Line"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"ad": "2262629.83773", "datetime": "2019-08-09 15:59:00"}, {"ad": "2271951.53983", "datetime": "2019-08-09 15:58:00"}, {"ad": "2344317.27255", "datetime": "2019-08-09 15:57:00"}, {"ad": "2288433.82567", "datetime": "2019-08-09 15:56:00"}, {"ad": "2467325.82567", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"ad": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["ad", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/d2560abc-4aff-4b66-8613-34ef967c3fee/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MINUS_DI
Minus Directional Indicator(MINUS_DI) is a component of the Average Directional Index(ADX), and it measures the existence of downtrend.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MINUS_DI - Minus Directional Indicator", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "minus_di": "46.60579"}, {"datetime": "2019-08-09 15:58:00", "minus_di": "57.93427"}, {"datetime": "2019-08-09 15:57:00", "minus_di": "64.13795"}, {"datetime": "2019-08-09 15:56:00", "minus_di": "62.85341"}, {"datetime": "2019-08-09 15:55:00", "minus_di": "69.49652"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/0af288d0-fba7-4814-81bc-952c055da004/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MCGINLEY_DYNAMIC
McGinley Dynamic(MCGINLEY_DYNAMIC) keeps all the benefits from the moving averages but adds an adjustment to market speed.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MCGINLEY_DYNAMIC - McGinley Dynamic", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "mcginley_dynamic": "201.93983"}, {"datetime": "2019-08-09 15:58:00", "mcginley_dynamic": "202.00969"}, {"datetime": "2019-08-09 15:57:00", "mcginley_dynamic": "202.09444"}, {"datetime": "2019-08-09 15:56:00", "mcginley_dynamic": "202.17916"}, {"datetime": "2019-08-09 15:55:00", "mcginley_dynamic": "202.26966"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/66e37b2c-11b7-4711-8133-d3410e7590c9/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
DEMA
Double Exponential Moving Average(DEMA) is used to eliminate lag. It does this by taking two Exponential Moving Averages(EMA).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "DEMA - Double Exponential Moving Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "dema": "200.93371"}, {"datetime": "2019-08-09 15:58:00", "dema": "200.98742"}, {"datetime": "2019-08-09 15:57:00", "dema": "201.13274"}, {"datetime": "2019-08-09 15:56:00", "dema": "201.30494"}, {"datetime": "2019-08-09 15:55:00", "dema": "201.5495"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/45f058da-ae90-472f-b36a-962911c14727/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
AVG
Average(AVG) calculates the average value of series in a given time period. Widely used to calculate the 9-day average volume.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "AVG - Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"avg": "201.53871", "datetime": "2019-08-09 15:59:00"}, {"avg": "201.69205", "datetime": "2019-08-09 15:58:00"}, {"avg": "201.85111", "datetime": "2019-08-09 15:57:00"}, {"avg": "202.03185", "datetime": "2019-08-09 15:56:00"}, {"avg": "202.20237", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/26ea0ec7-84c8-468a-87bd-dffc5373bd08/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
KST
Know Sure Thing(KST) calculates price momentum for four distinct price cycles(ROC).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "KST - Know Sure Thing", "roc_period_1": 10, "roc_period_2": 15, "roc_period_3": 20, "roc_period_4": 30, "signal_period": 9, "sma_period_1": 10, "sma_period_2": 10, "sma_period_3": 10, "sma_period_4": 15}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "kst": "-4.58644", "kst_signal": "-2.05236"}, {"datetime": "2019-08-09 15:58:00", "kst": "-3.99247", "kst_signal": "-1.50883"}, {"datetime": "2019-08-09 15:57:00", "kst": "-3.30038", "kst_signal": "-1.00471"}, {"datetime": "2019-08-09 15:56:00", "kst": "-2.5665", "kst_signal": "-0.55332"}, {"datetime": "2019-08-09 15:55:00", "kst": "-1.83607", "kst_signal": "-0.16218"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/17ddf725-b1f0-4b16-ad00-8233cf859045/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
AROONOSC
Aroon Oscillator(AROONOSC) uses classic Aroon(Aroon Up and Aroon down) to measure the strength of persisting trends and whether they will continue.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "AROONOSC - Aroon Oscillator", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"aroonosc": "-92.85714", "datetime": "2019-08-09 15:59:00"}, {"aroonosc": "-92.85714", "datetime": "2019-08-09 15:58:00"}, {"aroonosc": "-100.0", "datetime": "2019-08-09 15:57:00"}, {"aroonosc": "-100.0", "datetime": "2019-08-09 15:56:00"}, {"aroonosc": "-92.85714", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/657bec81-2ecb-4654-8d44-d22010034729/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
CORREL
Measures linear correlation between two time series. Takes values in the range from -1 to 1, where -1 is total negative correlation, 0 is no correlation, and 1 is total positive correlation.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "CORREL - Pearson's Correlation Coefficient", "series_type_1": "open", "series_type_2": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"correl": "0.93282", "datetime": "2019-08-09 15:59:00"}, {"correl": "0.94333", "datetime": "2019-08-09 15:58:00"}, {"correl": "0.94225", "datetime": "2019-08-09 15:57:00"}, {"correl": "0.9415", "datetime": "2019-08-09 15:56:00"}, {"correl": "0.93658", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/4cf0c00a-f7e8-42a0-b902-43f0ca061ad7/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
HT_SINE
Hilbert Transform SineWave(HT_SINE) is part of Hilbert Transforms concepts. You can read more about it in the Rocket Science for Traders book by John F. Ehlers.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "HT_SINE - Hilbert Transform SineWave", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ht_leadsine": "0.11303", "ht_sine": "-0.62265"}, {"datetime": "2019-08-09 15:58:00", "ht_leadsine": "0.01244", "ht_sine": "-0.69825"}, {"datetime": "2019-08-09 15:57:00", "ht_leadsine": "-0.08581", "ht_sine": "-0.76518"}, {"datetime": "2019-08-09 15:56:00", "ht_leadsine": "-0.14704", "ht_sine": "-0.8034"}, {"datetime": "2019-08-09 15:55:00", "ht_leadsine": "-0.261", "ht_sine": "-0.86715"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/fd3bc92e-8fa0-4582-a32f-38ac0378336d/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
BBANDS
Bollinger Bands®(BBANDS) are volatility bands located above and below a moving average. The volatility size parameter depends on standard deviation.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"ma_type": "SMA", "name": "BBANDS - Bollinger Bands\u00ae", "sd": 2, "series_type": "close", "time_period": 20}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "lower_band": "200.73486", "middle_band": "202.04999", "upper_band": "203.36511"}, {"datetime": "2019-08-09 15:58:00", "lower_band": "200.87061", "middle_band": "202.13499", "upper_band": "203.39936"}, {"datetime": "2019-08-09 15:57:00", "lower_band": "201.0642", "middle_band": "202.22324", "upper_band": "203.38227"}, {"datetime": "2019-08-09 15:56:00", "lower_band": "201.27409", "middle_band": "202.30173", "upper_band": "203.32938"}, {"datetime": "2019-08-09 15:55:00", "lower_band": "201.52709", "middle_band": "202.38007", "upper_band": "203.23305"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/31ee8fc6-1be4-44f1-981b-f9a1e7e5d9a0/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
NATR
Normalized Average True Range(NATR) is used to compare and analyze across different price levels due to its normalized quality, which might be more effective than the original ATR.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "NATR - Normalized Average True Range", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "natr": "0.09862"}, {"datetime": "2019-08-09 15:58:00", "natr": "0.0908"}, {"datetime": "2019-08-09 15:57:00", "natr": "0.08665"}, {"datetime": "2019-08-09 15:56:00", "natr": "0.08719"}, {"datetime": "2019-08-09 15:55:00", "natr": "0.08518"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/c0b26f7a-a970-4d92-bb77-ccec35165f33/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
AROON
Aroon Indicator(AROON) is used to identify if the price is trending. It can also spot the beginning of a new trend and its strength.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "AROON - Aroon Indicator", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"aroon_down": "92.85714", "aroon_up": "0.0", "datetime": "2019-08-09 15:59:00"}, {"aroon_down": "100.0", "aroon_up": "7.14286", "datetime": "2019-08-09 15:58:00"}, {"aroon_down": "100.0", "aroon_up": "0.0", "datetime": "2019-08-09 15:57:00"}, {"aroon_down": "100.0", "aroon_up": "0.0", "datetime": "2019-08-09 15:56:00"}, {"aroon_down": "100.0", "aroon_up": "7.14286", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/f166730a-be0f-4e86-993c-bc07ab6c453a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
FLOOR
Vector FLOOR(FLOOR) transforms input data with the mathematical floor function.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "FLOOR - Vector FLOOR", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "floor": "201.0"}, {"datetime": "2019-08-09 15:58:00", "floor": "200.0"}, {"datetime": "2019-08-09 15:57:00", "floor": "201.0"}, {"datetime": "2019-08-09 15:56:00", "floor": "201.0"}, {"datetime": "2019-08-09 15:55:00", "floor": "201.0"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/14479668-de20-4183-9cdf-fd738f9fe577/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
RSI
Relative Strength Index(RSI) is a momentum indicator, which calculates the magnitude of a price change to assess the overbought and oversold conditions in the price of an asset.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "RSI - Relative Strength Index", "series_type": "close", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "rsi": "16.57887"}, {"datetime": "2019-08-09 15:58:00", "rsi": "9.38865"}, {"datetime": "2019-08-09 15:57:00", "rsi": "9.97899"}, {"datetime": "2019-08-09 15:56:00", "rsi": "10.07167"}, {"datetime": "2019-08-09 15:55:00", "rsi": "10.7395"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/556ddf4d-b8a7-4c1b-95f2-18188f1d0c5a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
PERCENT_B
%B Indicator(PERCENT_B) measures the position of an asset price relative to upper and lower Bollinger Bands.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"ma_type": "SMA", "name": "PERCENT_B - %B Indicator", "sd": 2, "series_type": "close", "time_period": 20}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "percent_b": "0.11981"}, {"datetime": "2019-08-09 15:58:00", "percent_b": "0.02546"}, {"datetime": "2019-08-09 15:57:00", "percent_b": "-0.01907"}, {"datetime": "2019-08-09 15:56:00", "percent_b": "-0.11711"}, {"datetime": "2019-08-09 15:55:00", "percent_b": "-0.23276"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/7bf66ef9-0a75-42f5-86a6-73b4827b0651/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
STOCHRSI
Stochastic RSI(STOCHRSI) as an independent indicator takes advantage of the STOCH and RSI indicators. It is used to determine overbought and oversold levels, as well as current market trends for an asset.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_d_period": 3, "fast_dma_type": "SMA", "fast_k_period": 3, "name": "STOCHRSI - Stochastic RSI", "series_type": "close", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "fast_d": "33.33333", "fast_k": "100.0"}, {"datetime": "2019-08-09 15:58:00", "fast_d": "-0.0", "fast_k": "0.0"}, {"datetime": "2019-08-09 15:57:00", "fast_d": "-0.0", "fast_k": "0.0"}, {"datetime": "2019-08-09 15:56:00", "fast_d": "0.0", "fast_k": "0.0"}, {"datetime": "2019-08-09 15:55:00", "fast_d": "0.0", "fast_k": "0.0"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"fast_d_period": {"type": "integer"}, "fast_dma_type": {"type": "string"}, "fast_k_period": {"type": "integer"}, "name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["fast_d_period", "fast_dma_type", "fast_k_period", "name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "fast_d": {"type": "string"}, "fast_k": {"type": "string"}}, "required": ["datetime", "fast_d", "fast_k"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/42069d88-6c20-4f08-8a44-162cafeafcf6/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MAX
Highest value over period(MAX).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MAX - Highest value over period", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "max": "202.05"}, {"datetime": "2019-08-09 15:58:00", "max": "202.19"}, {"datetime": "2019-08-09 15:57:00", "max": "202.315"}, {"datetime": "2019-08-09 15:56:00", "max": "202.4516"}, {"datetime": "2019-08-09 15:55:00", "max": "202.66"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "max": {"type": "string"}}, "required": ["datetime", "max"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/f3f66d48-5643-4003-833b-ff5ea4d85110/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MINUS_DM
Minus Directional Movement(MINUS_DM) is calculated as Previous Low - Low.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MINUS_DM - Minus Directional Movement", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "minus_dm": "0.96291"}, {"datetime": "2019-08-09 15:58:00", "minus_dm": "1.08327"}, {"datetime": "2019-08-09 15:57:00", "minus_dm": "1.13992"}, {"datetime": "2019-08-09 15:56:00", "minus_dm": "1.14359"}, {"datetime": "2019-08-09 15:55:00", "minus_dm": "1.24536"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "minus_dm": {"type": "string"}}, "required": ["datetime", "minus_dm"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/806b626b-6f71-4902-9698-b4bbae779cf6/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
DIV
Division of values of two specified time series.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "DIV - Arithmetic Division", "series_type_1": "open", "series_type_2": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "div": "1.00201"}, {"datetime": "2019-08-09 15:58:00", "div": "1.00144"}, {"datetime": "2019-08-09 15:57:00", "div": "1.0008"}, {"datetime": "2019-08-09 15:56:00", "div": "1.00113"}, {"datetime": "2019-08-09 15:55:00", "div": "1.00343"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type_1": {"type": "string"}, "series_type_2": {"type": "string"}}, "required": ["name", "series_type_1", "series_type_2"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "div": {"type": "string"}}, "required": ["datetime", "div"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/3456f229-802c-482f-b0d3-dc8f67ec08b6/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ROC
Rate of change(ROC) calculates the rate of change between the current price and price n timeperiods ago. Formula: ((price / prevPrice) - 1) * 100.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ROC - Rate of change", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "roc": "-0.56383"}, {"datetime": "2019-08-09 15:58:00", "roc": "-0.68211"}, {"datetime": "2019-08-09 15:57:00", "roc": "-0.70713"}, {"datetime": "2019-08-09 15:56:00", "roc": "-0.80263"}, {"datetime": "2019-08-09 15:55:00", "roc": "-0.75726"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "roc": {"type": "string"}}, "required": ["datetime", "roc"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/7bdb3595-db50-425d-8527-0adba59ca7bc/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ROCP
Rate of change percentage(ROCP) calculates the rate of change in % between the current price and price n timeperiods ago. Formula: (price - prevPrice) / prevPrice.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ROCP - Rate of change percentage", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "rocp": "-0.00564"}, {"datetime": "2019-08-09 15:58:00", "rocp": "-0.00682"}, {"datetime": "2019-08-09 15:57:00", "rocp": "-0.00707"}, {"datetime": "2019-08-09 15:56:00", "rocp": "-0.00803"}, {"datetime": "2019-08-09 15:55:00", "rocp": "-0.00757"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "rocp": {"type": "string"}}, "required": ["datetime", "rocp"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/2c632670-73ad-4019-8d18-9a3c51e68aa5/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
BOP
Balance of Power(BOP) measures the relative strength between buyers and sellers by assessing the ability of move price to an extreme level.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "BOP - Balance of Power"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"bop": "0.27231", "datetime": "2019-08-09 15:59:00"}, {"bop": "-0.32758", "datetime": "2019-08-09 15:58:00"}, {"bop": "0.0", "datetime": "2019-08-09 15:57:00"}, {"bop": "-0.38215", "datetime": "2019-08-09 15:56:00"}, {"bop": "-0.91305", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"bop": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["bop", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/dd1c4e09-3e85-47b6-82af-01fa1bee47ab/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MFI
Money Flow Index(MFI) is used to identify overbought and oversold levels in an asset. In some cases, it can be used to detect divergences, which might be a sign of upcoming trend changes.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MFI - Money Flow Index", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "mfi": "22.68525"}, {"datetime": "2019-08-09 15:58:00", "mfi": "6.39625"}, {"datetime": "2019-08-09 15:57:00", "mfi": "7.00498"}, {"datetime": "2019-08-09 15:56:00", "mfi": "7.36599"}, {"datetime": "2019-08-09 15:55:00", "mfi": "7.91187"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "mfi": {"type": "string"}}, "required": ["datetime", "mfi"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/bdb21b58-73e2-4e05-9797-21584daa47ea/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MAMA
MESA Adaptive Moving Average(MAMA) adapts to price fluctuations based on the rate of change of the Hilbert Transform Discriminator. More about MAMA can be read here.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_limit": 0.5, "name": "MAMA - MESA Adaptive Moving Average", "series_type": "close", "slow_limit": 0.05}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "fama": "202.05517", "mama": "201.38887"}, {"datetime": "2019-08-09 15:58:00", "fama": "202.27727", "mama": "201.72774"}, {"datetime": "2019-08-09 15:57:00", "fama": "202.29956", "mama": "201.79478"}, {"datetime": "2019-08-09 15:56:00", "fama": "202.34923", "mama": "201.96391"}, {"datetime": "2019-08-09 15:55:00", "fama": "202.35911", "mama": "202.01288"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"fast_limit": {"type": "number"}, "name": {"type": "string"}, "series_type": {"type": "string"}, "slow_limit": {"type": "number"}}, "required": ["fast_limit", "name", "series_type", "slow_limit"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "fama": {"type": "string"}, "mama": {"type": "string"}}, "required": ["datetime", "fama", "mama"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/c70809ff-9e90-4d7e-93a2-fcb52671f3c0/0/0
Twelve Data
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9.9
BETA
Statistic Beta function.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "BETA - Beta", "series_type_1": "open", "series_type_2": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"beta": "-0.05742", "datetime": "2019-08-09 15:59:00"}, {"beta": "-0.31826", "datetime": "2019-08-09 15:58:00"}, {"beta": "-0.60342", "datetime": "2019-08-09 15:57:00"}, {"beta": "-0.4949", "datetime": "2019-08-09 15:56:00"}, {"beta": "-0.24952", "datetime": "2019-08-09 15:55:00"}]}
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3f90d297-3157-494a-92c1-6fa5136ffc8f/594833e5-d9c5-4db3-a471-8b30df9c0a24/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
ATR
Average True Range(ATR) is used to measure market volatility by decomposing all asset prices over a specified time period.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "ATR - Average True Range", "time_period": 14}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"atr": "0.19828", "datetime": "2019-08-09 15:59:00"}, {"atr": "0.18246", "datetime": "2019-08-09 15:58:00"}, {"atr": "0.17419", "datetime": "2019-08-09 15:57:00"}, {"atr": "0.17528", "datetime": "2019-08-09 15:56:00"}, {"atr": "0.17133", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"atr": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["atr", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/406bd199-1226-4fc9-9752-e7a2788443f0/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
HEIKINASHICANDLES
Heikin-Ashi Candles(HEIKINASHICANDLES) translated from Japanese means "average bar". It can be used to detect market trends and predict future price fluctuations.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "HEIKINASHICANDLES - Heikin-Ashi Candles"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "heikincloses": "201.02449", "heikinhighs": "201.25599", "heikinlows": "200.85199", "heikinopens": "200.9825"}, {"datetime": "2019-08-09 15:58:00", "heikincloses": "200.98375", "heikinhighs": "201.13", "heikinlows": "200.84", "heikinopens": "201.02"}, {"datetime": "2019-08-09 15:57:00", "heikincloses": "201.005", "heikinhighs": "201.07001", "heikinlows": "200.91", "heikinopens": "201.0767"}, {"datetime": "2019-08-09 15:56:00", "heikincloses": "201.1117", "heikinhighs": "201.25999", "heikinlows": "201.0334", "heikinopens": "201.445"}, {"datetime": "2019-08-09 15:55:00", "heikincloses": "201.43", "heikinhighs": "201.75999", "heikinlows": "201.07001", "heikinopens": "201.77"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "heikincloses": {"type": "string"}, "heikinhighs": {"type": "string"}, "heikinlows": {"type": "string"}, "heikinopens": {"type": "string"}}, "required": ["datetime", "heikincloses", "heikinhighs", "heikinlows", "heikinopens"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/d51b04aa-f28a-4d7e-b386-1eddf8fd2c78/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
CEIL
Vector CEIL(CEIL) transforms input data with the mathematical ceil function.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "CEIL - Vector CEIL", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"ceil": "202.0", "datetime": "2019-08-09 15:59:00"}, {"ceil": "201.0", "datetime": "2019-08-09 15:58:00"}, {"ceil": "202.0", "datetime": "2019-08-09 15:57:00"}, {"ceil": "202.0", "datetime": "2019-08-09 15:56:00"}, {"ceil": "202.0", "datetime": "2019-08-09 15:55:00"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"ceil": {"type": "string"}, "datetime": {"type": "string"}}, "required": ["ceil", "datetime"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/4baf5426-d7a9-4d67-b8d3-06aa83d4e0bb/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MULT
Multiplication of values of two specified time series.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MULT - Arithmetic Multiply", "series_type_1": "open", "series_type_2": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "mult": "40422.66609"}, {"datetime": "2019-08-09 15:58:00", "mult": "40394.94944"}, {"datetime": "2019-08-09 15:57:00", "mult": "40396.97591"}, {"datetime": "2019-08-09 15:56:00", "mult": "40459.98128"}, {"datetime": "2019-08-09 15:55:00", "mult": "40567.88357"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type_1": {"type": "string"}, "series_type_2": {"type": "string"}}, "required": ["name", "series_type_1", "series_type_2"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "mult": {"type": "string"}}, "required": ["datetime", "mult"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/fc95432a-0d34-4d37-83b6-3856e5a3a8f3/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MIDPRICE
Midpoint Price over period(MIDPRICE) is calculated as (highest high + lowest low) / 2.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MIDPRICE - Midpoint Price over period", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "midprice": "201.535"}, {"datetime": "2019-08-09 15:58:00", "midprice": "201.595"}, {"datetime": "2019-08-09 15:57:00", "midprice": "201.68501"}, {"datetime": "2019-08-09 15:56:00", "midprice": "201.8417"}, {"datetime": "2019-08-09 15:55:00", "midprice": "201.88"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "midprice": {"type": "string"}}, "required": ["datetime", "midprice"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/8cc51888-0f3a-456a-91e5-65be76f505ed/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
PLUS_DI
Plus Directional Indicator(PLUS_DI) is a component of the Average Directional Index(ADX), and it measures the existence of uptrend.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "PLUS_DI - Plus Directional Indicator", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "plus_di": "7.69578"}, {"datetime": "2019-08-09 15:58:00", "plus_di": "1.98638"}, {"datetime": "2019-08-09 15:57:00", "plus_di": "2.35103"}, {"datetime": "2019-08-09 15:56:00", "plus_di": "2.58362"}, {"datetime": "2019-08-09 15:55:00", "plus_di": "2.95115"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "plus_di": {"type": "string"}}, "required": ["datetime", "plus_di"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/ce308305-c2e9-43e7-b421-9bfc3f1bc968/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SUPERTREND
SuperTrend Indicator(SUPERTREND) is mostly used on intraday timeframes to detect the price upward or downward direction in the trending market.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"multiplier": 3, "name": "SUPERTREND - SuperTrend Indicator", "period": 10}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "supertrend": "201.56432"}, {"datetime": "2019-08-09 15:58:00", "supertrend": "201.56432"}, {"datetime": "2019-08-09 15:57:00", "supertrend": "201.56432"}, {"datetime": "2019-08-09 15:56:00", "supertrend": "201.73149"}, {"datetime": "2019-08-09 15:55:00", "supertrend": "201.98924"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"multiplier": {"type": "integer"}, "name": {"type": "string"}, "period": {"type": "integer"}}, "required": ["multiplier", "name", "period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "supertrend": {"type": "string"}}, "required": ["datetime", "supertrend"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/907b50ec-ce95-42de-b5a2-bccd305284c5/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MAXINDEX
Index of highest value over period(MAXINDEX).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MAXINDEX - Index of highest value over period", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "maxidx": "491"}, {"datetime": "2019-08-09 15:58:00", "maxidx": "490"}, {"datetime": "2019-08-09 15:57:00", "maxidx": "489"}, {"datetime": "2019-08-09 15:56:00", "maxidx": "488"}, {"datetime": "2019-08-09 15:55:00", "maxidx": "487"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "maxidx": {"type": "string"}}, "required": ["datetime", "maxidx"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/dfd9a74d-d81e-4dc5-bf1f-50cd7047db02/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
MINMAX
Lowest and highest values over period(MINMAX).
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "MINMAX - Lowest and highest values over period", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "max": "202.05", "min": "200.935"}, {"datetime": "2019-08-09 15:58:00", "max": "202.19", "min": "200.935"}, {"datetime": "2019-08-09 15:57:00", "max": "202.315", "min": "201.02"}, {"datetime": "2019-08-09 15:56:00", "max": "202.4516", "min": "201.0334"}, {"datetime": "2019-08-09 15:55:00", "max": "202.66", "min": "201.13"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "max": {"type": "string"}, "min": {"type": "string"}}, "required": ["datetime", "max", "min"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/fade7fa7-98b8-473f-adb2-0d14a8d8e93a/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
TEMA
Triple Exponential Moving Average(TEMA) smooths out price fluctuations, making it more trend detection and more transparent without the lag.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "TEMA - Triple Exponential Moving Average", "series_type": "close", "time_period": 9}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "tema": "200.83136"}, {"datetime": "2019-08-09 15:58:00", "tema": "200.8304"}, {"datetime": "2019-08-09 15:57:00", "tema": "200.94958"}, {"datetime": "2019-08-09 15:56:00", "tema": "201.10417"}, {"datetime": "2019-08-09 15:55:00", "tema": "201.36643"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}}, "required": ["name", "series_type", "time_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "tema": {"type": "string"}}, "required": ["datetime", "tema"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/17b0f4c6-e147-4b32-87a7-0885d781510c/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
SAR
Parabolic SAR(SAR) is used to identify and spot upcoming asset momentum.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"acceleration": 0.02, "maximum": 0.2, "name": "SAR - Parabolic SAR"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "sar": "201.54365"}, {"datetime": "2019-08-09 15:58:00", "sar": "201.71956"}, {"datetime": "2019-08-09 15:57:00", "sar": "201.92195"}, {"datetime": "2019-08-09 15:56:00", "sar": "202.117"}, {"datetime": "2019-08-09 15:55:00", "sar": "202.31643"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"acceleration": {"type": "number"}, "maximum": {"type": "number"}, "name": {"type": "string"}}, "required": ["acceleration", "maximum", "name"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "sar": {"type": "string"}}, "required": ["datetime", "sar"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/3b3abf44-3798-4165-a7a9-d1b4b4c254bd/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
T3MA
Triple Exponential Moving Average(T3MA) makes better smoothing of moving average than the classical TEMA indicator by extending the lookback period and applying other enhanced parameters.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "T3MA - Triple Exponential Moving Average", "series_type": "close", "time_period": 9, "v_factor": 0.7}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "t3ma": "201.56277"}, {"datetime": "2019-08-09 15:58:00", "t3ma": "201.72906"}, {"datetime": "2019-08-09 15:57:00", "t3ma": "201.89968"}, {"datetime": "2019-08-09 15:56:00", "t3ma": "202.06176"}, {"datetime": "2019-08-09 15:55:00", "t3ma": "202.20727"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}, "time_period": {"type": "integer"}, "v_factor": {"type": "number"}}, "required": ["name", "series_type", "time_period", "v_factor"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "t3ma": {"type": "string"}}, "required": ["datetime", "t3ma"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/96597e12-7687-4dcf-99f8-b8f0b27363c7/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
Crypto Exchanges
This API call return array of cryptocurrency exchanges available at Twelve Data API. This list is daily updated.
200
null
{"data": [{"name": "AAX"}, {"name": "ABCC"}, {"name": "ACX"}, {"name": "AEX"}, {"name": "AlienCloud"}, {"name": "Allcoin"}, {"name": "AltCoinTrader"}, {"name": "Altilly"}, {"name": "ANX"}, {"name": "Bancor Network"}, {"name": "Bibox"}, {"name": "BigONE"}, {"name": "Bilaxy"}, {"name": "Binance"}, {"name": "Binance DEX"}, {"name": "Bitbank"}, {"name": "BitBay"}, {"name": "Bitbegin"}, {"name": "Bitbns"}, {"name": "Bitci.com"}, {"name": "BitcoinToYou"}, {"name": "BitcoinTrade"}, {"name": "BiteBTC"}, {"name": "Bitex.la"}, {"name": "Bitexlive"}, {"name": "Bitfinex"}, {"name": "bitFlyer"}, {"name": "BitForex"}, {"name": "Bithesap"}, {"name": "Bithumb"}, {"name": "Bitibu"}, {"name": "Bitinka"}, {"name": "Bitkub"}, {"name": "Bitlish"}, {"name": "BitMart"}, {"name": "BitMax"}, {"name": "BitMEX"}, {"name": "Bitpanda Pro"}, {"name": "Bitrue"}, {"name": "Bitso"}, {"name": "BitStamp"}, {"name": "Bittrex"}, {"name": "Bit-Z"}, {"name": "Bleutrade"}, {"name": "BTC-Alpha"}, {"name": "BTCBOX"}, {"name": "BTC Indonesia"}, {"name": "BTC Markets"}, {"name": "BTCTurk"}, {"name": "Btcwinex"}, {"name": "BTSE"}, {"name": "BXThailand"}, {"name": "C2CX"}, {"name": "CBX"}, {"name": "C-CEX"}, {"name": "CEX.IO"}, {"name": "CHAOEX"}, {"name": "Cobinhood"}, {"name": "CoinAll"}, {"name": "Coinbase Pro"}, {"name": "Coinbene"}, {"name": "Coinbig"}, {"name": "Coineal"}, {"name": "COINEGG"}, {"name": "CoinEx"}, {"name": "CoinExchange"}, {"name": "Coinext"}, {"name": "CoinField"}, {"name": "Coingecko"}, {"name": "CoinHub"}, {"name": "Coinlib"}, {"name": "CoinMex"}, {"name": "Coinnest"}, {"name": "Coinone"}, {"name": "Coinrail"}, {"name": "CoinsBank"}, {"name": "Coinsbit"}, {"name": "CoinTiger"}, {"name": "COSS"}, {"name": "C-Patex"}, {"name": "CPDAX"}, {"name": "Crex24"}, {"name": "CryptalDash"}, {"name": "CryptoBridge"}, {"name": "Cryptonex"}, {"name": "Cryptopia"}, {"name": "Dcoin"}, {"name": "DDEX"}, {"name": "Decoin"}, {"name": "DigiFinex"}, {"name": "DragonEX"}, {"name": "Escodex"}, {"name": "Ethen"}, {"name": "EtherDelta"}, {"name": "EtherFlyer"}, {"name": "Ethfinex"}, {"name": "Exmo"}, {"name": "Exrates"}, {"name": "EXX"}, {"name": "Fatbtc"}, {"name": "FinexBox"}, {"name": "Fisco"}, {"name": "ForkDelta"}, {"name": "FreiExchange"}, {"name": "Gatecoin"}, {"name": "Gate.io"}, {"name": "GDAX"}, {"name": "Gemini"}, {"name": "GOPAX"}, {"name": "Graviex"}, {"name": "HADAX"}, {"name": "HCoin"}, {"name": "HitBTC"}, {"name": "Hotbit"}, {"name": "Huobi"}, {"name": "Huobi Korea"}, {"name": "IDAX"}, {"name": "IDCM"}, {"name": "IDEX"}, {"name": "Independent Reserve"}, {"name": "Indodax"}, {"name": "itBit"}, {"name": "Koineks"}, {"name": "Koinim"}, {"name": "Korbit"}, {"name": "Kraken"}, {"name": "Kryptono"}, {"name": "Kucoin"}, {"name": "Kyber Network"}, {"name": "LakeBTC"}, {"name": "LATOKEN"}, {"name": "LBank"}, {"name": "Liqui"}, {"name": "Liquid"}, {"name": "Livecoin"}, {"name": "LocalTrade"}, {"name": "Luno"}, {"name": "Lykke"}, {"name": "MercadoBitcoin"}, {"name": "Mercatox"}, {"name": "MXC"}, {"name": "Negocie Coins"}, {"name": "n.exchange"}, {"name": "NLexch"}, {"name": "Nova Exchange"}, {"name": "OKCoin"}, {"name": "OKEx"}, {"name": "OOOBTC"}, {"name": "OTCBTC"}, {"name": "p2pb2b"}, {"name": "Panxora"}, {"name": "Paribu"}, {"name": "Poloniex"}, {"name": "PrizmBit"}, {"name": "ProBit Exchange"}, {"name": "QBTC"}, {"name": "QUOINE"}, {"name": "Satang Pro"}, {"name": "SIMEX"}, {"name": "SouthXchange"}, {"name": "Stellarport"}, {"name": "STEX"}, {"name": "Stocks.Exchange"}, {"name": "Switcheo Network"}, {"name": "Synthetic"}, {"name": "Therocktrading"}, {"name": "Thore Exchange"}, {"name": "Tidebit"}, {"name": "Tidex"}, {"name": "TOKENMOM"}, {"name": "Tokenomy"}, {"name": "Token Store"}, {"name": "TOKOK"}, {"name": "TOPBTC"}, {"name": "Trade By Trade"}, {"name": "TradeOgre"}, {"name": "Trade Satoshi"}, {"name": "Turuko"}, {"name": "Upbit"}, {"name": "Vebitcoin"}, {"name": "VVBTC"}, {"name": "Waves Decentralized Exchange"}, {"name": "WazirX"}, {"name": "xBTCe"}, {"name": "YoBit"}, {"name": "Zaif"}, {"name": "ZB.COM"}], "status": "ok"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}}, "status": {"type": "string"}}, "required": ["data", "status"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/0a010833-d8ae-4eee-9754-18c1f33f6455/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
Time Series
This API call returns meta and time series for equities. Meta object consists of general information about the requested symbol. Time series is the array of objects ordered by time descending with Open, High, Low, Close prices + Volume.
200
null
{"meta": {"currency": "USD", "exchange": "NASDAQ", "exchange_timezone": "America/New_York", "interval": "1day", "symbol": "AMZN", "type": "Common Stock"}, "status": "ok", "values": [{"close": "3178.00000", "datetime": "2020-09-14", "high": "3178.77002", "low": "3144.25195", "open": "3172.93726", "volume": "976262"}, {"close": "3117.43994", "datetime": "2020-09-11", "high": "3217.34082", "low": "3083.97998", "open": "3208.68994", "volume": "4683062"}, {"close": "3176.12012", "datetime": "2020-09-10", "high": "3349.88989", "low": "3170.55005", "open": "3307.21875", "volume": "5009305"}, {"close": "3268.27002", "datetime": "2020-09-09", "high": "3303.17505", "low": "3185.00000", "open": "3202.98999", "volume": "4742594"}, {"close": "3149.84009", "datetime": "2020-09-08", "high": "3250.84497", "low": "3130.00000", "open": "3144.00000", "volume": "5677678"}, {"close": "3294.62012", "datetime": "2020-09-04", "high": "3381.50000", "low": "3111.12988", "open": "3318.00000", "volume": "8548149"}, {"close": "3369.16992", "datetime": "2020-09-03", "high": "3488.21997", "low": "3303.00000", "open": "3485.00000", "volume": "7491045"}, {"close": "3529.34009", "datetime": "2020-09-02", "high": "3552.25000", "low": "3486.68506", "open": "3547.00000", "volume": "3635916"}, {"close": "3500.46997", "datetime": "2020-09-01", "high": "3513.87012", "low": "3467.00000", "open": "3494.79004", "volume": "3217443"}, {"close": "3441.90991", "datetime": "2020-08-31", "high": "3495.00000", "low": "3405.00000", "open": "3408.98999", "volume": "3832243"}, {"close": "3401.80005", "datetime": "2020-08-28", "high": "3433.36987", "low": "3386.50000", "open": "3416.14990", "volume": "2569547"}, {"close": "3400.69995", "datetime": "2020-08-27", "high": "3453.00000", "low": "3378.00000", "open": "3450.05005", "volume": "3958472"}, {"close": "3442.06006", "datetime": "2020-08-26", "high": "3451.73877", "low": "3344.56738", "open": "3351.11011", "volume": "6324600"}, {"close": "3346.05005", "datetime": "2020-08-25", "high": "3357.39990", "low": "3267.00000", "open": "3294.98999", "volume": "3798104"}, {"close": "3307.44995", "datetime": "2020-08-24", "high": "3379.78003", "low": "3257.56079", "open": "3310.14990", "volume": "4308199"}, {"close": "3284.59009", "datetime": "2020-08-21", "high": "3314.39624", "low": "3275.38989", "open": "3295.00000", "volume": "3360154"}, {"close": "3296.05005", "datetime": "2020-08-20", "high": "3312.62012", "low": "3240.08008", "open": "3251.17993", "volume": "3017448"}, {"close": "3260.14990", "datetime": "2020-08-19", "high": "3315.89990", "low": "3256.00000", "open": "3303.01001", "volume": "3838995"}, {"close": "3312.48999", "datetime": "2020-08-18", "high": "3320.00000", "low": "3205.81860", "open": "3207.14990", "volume": "5027099"}, {"close": "3181.15991", "datetime": "2020-08-17", "high": "3194.96997", "low": "3154.17749", "open": "3164.06006", "volume": "2340771"}, {"close": "3148.00000", "datetime": "2020-08-14", "high": "3178.23560", "low": "3120.00000", "open": "3175.55493", "volume": "2517148"}, {"close": "3160.99512", "datetime": "2020-08-13", "high": "3217.52100", "low": "3155.00000", "open": "3182.98999", "volume": "2929385"}, {"close": "3161.01001", "datetime": "2020-08-12", "high": "3174.38501", "low": "3101.41992", "open": "3108.00000", "volume": "3107190"}, {"close": "3084.00000", "datetime": "2020-08-11", "high": "3159.21997", "low": "3073.00000", "open": "3113.19995", "volume": "3413006"}, {"close": "3149.87012", "datetime": "2020-08-10", "high": "3172.51001", "low": "3101.52002", "open": "3170.31006", "volume": "2788640"}, {"close": "3165.75000", "datetime": "2020-08-07", "high": "3240.81006", "low": "3140.67261", "open": "3224.01001", "volume": "3682421"}, {"close": "3224.35010", "datetime": "2020-08-06", "high": "3247.46997", "low": "3165.42993", "open": "3194.36011", "volume": "3749056"}, {"close": "3205.83008", "datetime": "2020-08-05", "high": "3213.58594", "low": "3127.30005", "open": "3137.65991", "volume": "3726917"}, {"close": "3138.68994", "datetime": "2020-08-04", "high": "3167.23999", "low": "3102.00000", "open": "3111.80420", "volume": "4485959"}, {"close": "3111.41992", "datetime": "2020-08-03", "high": "3180.97998", "low": "3104.00000", "open": "3173.12988", "volume": "4611301"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"close": {"type": "string"}, "datetime": {"type": "string"}, "high": {"type": "string"}, "low": {"type": "string"}, "open": {"type": "string"}, "volume": {"type": "string"}}, "required": ["close", "datetime", "high", "low", "open", "volume"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/a03470bd-2937-4f18-a0be-11d4eaf0500d/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
Real-Time Price
This endpoint is a lightweight method that allows retrieving only the real-time price of the selected instrument.
200
null
{"price": "3166.25366"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"price": {"type": "string"}}, "required": ["price"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/2d125704-6e3e-4be1-a561-70705e199ef7/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
Quote
Quote endpoint is an efficient method to retrieve the latest quote of the selected instrument.
200
null
{"average_volume": "4801633", "change": "55.56006", "close": "3173.00000", "currency": "USD", "datetime": "2020-09-14", "exchange": "NASDAQ", "fifty_two_week": {"high": "3552.25000", "high_change": "-379.25000", "high_change_percent": "-10.67633", "low": "1626.03003", "low_change": "1546.96997", "low_change_percent": "95.13785", "range": "1626.030029 - 3552.250000"}, "high": "3186.98999", "low": "3144.25195", "name": "Amazon.com Inc", "open": "3172.93726", "percent_change": "1.78223", "previous_close": "3117.43994", "symbol": "AMZN", "volume": "1178898"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"average_volume": {"type": "string"}, "change": {"type": "string"}, "close": {"type": "string"}, "currency": {"type": "string"}, "datetime": {"type": "string"}, "exchange": {"type": "string"}, "fifty_two_week": {"type": "object", "properties": {"high": {"type": "string"}, "high_change": {"type": "string"}, "high_change_percent": {"type": "string"}, "low": {"type": "string"}, "low_change": {"type": "string"}, "low_change_percent": {"type": "string"}, "range": {"type": "string"}}, "required": ["high", "high_change", "high_change_percent", "low", "low_change", "low_change_percent", "range"]}, "high": {"type": "string"}, "low": {"type": "string"}, "name": {"type": "string"}, "open": {"type": "string"}, "percent_change": {"type": "string"}, "previous_close": {"type": "string"}, "symbol": {"type": "string"}, "volume": {"type": "string"}}, "required": ["average_volume", "change", "close", "currency", "datetime", "exchange", "fifty_two_week", "high", "low", "name", "open", "percent_change", "previous_close", "symbol", "volume"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/40a354cd-db27-4e00-a56d-8381e6529c83/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
LN
Natural Logarithm to the base of constant e(LN) transforms all data points with natural logarithm.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"name": "LN - Natural Logarithm to the base of constant e", "series_type": "close"}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ln": "5.30355"}, {"datetime": "2019-08-09 15:58:00", "ln": "5.30298"}, {"datetime": "2019-08-09 15:57:00", "ln": "5.3034"}, {"datetime": "2019-08-09 15:56:00", "ln": "5.30347"}, {"datetime": "2019-08-09 15:55:00", "ln": "5.30395"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"name": {"type": "string"}, "series_type": {"type": "string"}}, "required": ["name", "series_type"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "ln": {"type": "string"}}, "required": ["datetime", "ln"]}}}, "required": ["meta", "status", "values"]}
3f90d297-3157-494a-92c1-6fa5136ffc8f/0cadcd1b-7a0f-4535-9b89-faa4dfbe36e3/0/0
Twelve Data
Financial data provided for developers, to enter the world markets. Instant access for real-time and historical data of stocks, forex, crypto, ETFs, indices, and more. Read more in documentation and start here.
9.9
PPO
Percentage Price Oscillator(PPO) shows the relationship between two Moving Averages(MA) as a percentage.
200
null
{"meta": {"currency": "USD", "exchange": "NYSE", "exchange_timezone": "America/New_York", "indicator": {"fast_period": 12, "ma_type": "SMA", "name": "PPO - Percentage Price Oscillator", "series_type": "close", "slow_period": 26}, "interval": "1min", "symbol": "AAPL", "type": "Common Stock"}, "status": "ok", "values": [{"datetime": "2019-08-09 15:59:00", "ppo": "-0.2696"}, {"datetime": "2019-08-09 15:58:00", "ppo": "-0.23323"}, {"datetime": "2019-08-09 15:57:00", "ppo": "-0.1928"}, {"datetime": "2019-08-09 15:56:00", "ppo": "-0.15255"}, {"datetime": "2019-08-09 15:55:00", "ppo": "-0.11518"}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"currency": {"type": "string"}, "exchange": {"type": "string"}, "exchange_timezone": {"type": "string"}, "indicator": {"type": "object", "properties": {"fast_period": {"type": "integer"}, "ma_type": {"type": "string"}, "name": {"type": "string"}, "series_type": {"type": "string"}, "slow_period": {"type": "integer"}}, "required": ["fast_period", "ma_type", "name", "series_type", "slow_period"]}, "interval": {"type": "string"}, "symbol": {"type": "string"}, "type": {"type": "string"}}, "required": ["currency", "exchange", "exchange_timezone", "indicator", "interval", "symbol", "type"]}, "status": {"type": "string"}, "values": {"type": "array", "items": {"type": "object", "properties": {"datetime": {"type": "string"}, "ppo": {"type": "string"}}, "required": ["datetime", "ppo"]}}}, "required": ["meta", "status", "values"]}
dc04bfed-3361-4d9a-9321-8a55e67e379e/4be572f6-4533-4b78-892d-3a8040613d32/0/0
Cryptocurrency Markets
Official cryptocurrency market API provides a comprehensive list of coins, profiles, stats, trends, most watch, top gainers/losers, newly created, and more! This API is ideal for web and APP developers.
8.8
v1/modules
This endpoint can provide the following data: global metric, crypto videos, trends, most visited coins, newly launched, top gainers, and top losers.
200
Response
{"meta": {"version": "v1.0", "status": 200, "copywrite": "https://devAPI.ai", "total": 10, "module": "gainerList"}, "body": [{"id": 28119, "name": "Betrock", "symbol": "BETROCK", "rank": 2784, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 0.002781420454, "priceChange1h": 21.49135894, "priceChange24h": 236.4786208, "priceChange7d": 305.7210079, "priceChange30d": 629.804418, "volume24h": 124085.1239, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 6607, "name": "MixTrust", "symbol": "MXT", "rank": 2740, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 5.3525569e-05, "priceChange1h": -17.68726628, "priceChange24h": 208.1794443, "priceChange7d": -92.90245904, "priceChange30d": -96.12786272, "volume24h": 138916.7985, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 24906, "name": "BeNFT Solutions", "symbol": "BeAI", "rank": 1171, "status": "active", "marketCap": 1967952.84, "selfReportedMarketCap": 1866201.543, "priceChange": {"price": 1.457969956, "priceChange1h": 7.22730208, "priceChange24h": 195.5180063, "priceChange7d": 6.67368024, "priceChange30d": -73.44652487, "volume24h": 3008290.861, "lastUpdate": "2023-10-29T19:25:00.000Z"}}, {"id": 9693, "name": "DOGGY", "symbol": "DOGGY", "rank": 1015, "status": "active", "marketCap": 3594823.43, "selfReportedMarketCap": 0, "priceChange": {"price": 0.0008921347747, "priceChange1h": 3.73495489, "priceChange24h": 181.6595581, "priceChange7d": 214.6668588, "priceChange30d": 245.4363842, "volume24h": 2101707.103, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 23657, "name": "Doge KaKi", "symbol": "KAKI", "rank": 2219, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 1.14992808e-07, "priceChange1h": 7.40598917, "priceChange24h": 180.7232913, "priceChange7d": 173.6824425, "priceChange30d": 183.9167005, "volume24h": 1653870.691, "lastUpdate": "2023-10-29T19:25:00.000Z"}}, {"id": 27080, "name": "Spider Man", "symbol": "Spider", "rank": 3115, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 3.588514958e-10, "priceChange1h": -1.66569384, "priceChange24h": 126.7091705, "priceChange7d": 96.88059122, "priceChange30d": 70.04424378, "volume24h": 62642.44951, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 28292, "name": "Joe Coin", "symbol": "JOE", "rank": 2458, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 0.000332330371, "priceChange1h": 8.25174169, "priceChange24h": 114.6683495, "priceChange7d": -71.89740758, "priceChange30d": -71.89740758, "volume24h": 296427.7221, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 25656, "name": "Risitas", "symbol": "RISITA", "rank": 2717, "status": "active", "marketCap": 0, "selfReportedMarketCap": 138210520.9, "priceChange": {"price": 0.005041455443, "priceChange1h": -18.4525343, "priceChange24h": 109.2388065, "priceChange7d": 969.0225547, "priceChange30d": -42.19879385, "volume24h": 146355.1526, "lastUpdate": "2023-10-29T19:25:00.000Z"}}, {"id": 28031, "name": "TOKEN 2049", "symbol": "2049", "rank": 2472, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 0.1020473345, "priceChange1h": 3.93440305, "priceChange24h": 106.7867618, "priceChange7d": -0.82151371, "priceChange30d": -75.24984645, "volume24h": 279693.9276, "lastUpdate": "2023-10-29T19:24:00.000Z"}}, {"id": 470, "name": "Viacoin", "symbol": "VIA", "rank": 2837, "status": "active", "marketCap": 0, "selfReportedMarketCap": 0, "priceChange": {"price": 0.05051753097, "priceChange1h": -0.30540922, "priceChange24h": 97.12279499, "priceChange7d": 172.3245835, "priceChange30d": 153.6655273, "volume24h": 107515.7756, "lastUpdate": "2023-10-29T19:24:00.000Z"}}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"version": {"type": "string"}, "status": {"type": "integer"}, "copywrite": {"type": "string"}, "total": {"type": "integer"}, "module": {"type": "string"}}, "required": ["copywrite", "module", "status", "total", "version"]}, "body": {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}, "symbol": {"type": "string"}, "rank": {"type": "integer"}, "status": {"type": "string"}, "marketCap": {"type": "number"}, "selfReportedMarketCap": {"type": "number"}, "priceChange": {"type": "object", "properties": {"price": {"type": "number"}, "priceChange1h": {"type": "number"}, "priceChange24h": {"type": "number"}, "priceChange7d": {"type": "number"}, "priceChange30d": {"type": "number"}, "volume24h": {"type": "number"}, "lastUpdate": {"type": "string"}}, "required": ["lastUpdate", "price", "priceChange1h", "priceChange24h", "priceChange30d", "priceChange7d", "volume24h"]}}, "required": ["id", "marketCap", "name", "priceChange", "rank", "selfReportedMarketCap", "status", "symbol"]}}}, "required": ["body", "meta"]}
dc04bfed-3361-4d9a-9321-8a55e67e379e/62d2d5a3-938d-4c36-aa53-59968fae6da6/0/0
Cryptocurrency Markets
Official cryptocurrency market API provides a comprehensive list of coins, profiles, stats, trends, most watch, top gainers/losers, newly created, and more! This API is ideal for web and APP developers.
8.8
v1/quotes
Get quotes for a specific cryptocurrency.
200
Response
{"meta": {"version": "v1.0", "status": 200, "copywrite": "https://devAPI.ai", "key": "bitcoin", "total": 49}, "data": {"price": 34609.12032, "priceChangePercentage1h": -0.25782048, "priceChangePercentage24h": 1.32852766, "priceChangePercentage7d": 15.76040903, "priceChangePercentage30d": 28.4972231, "priceChangePercentage60d": 26.96876204, "priceChangePercentage90d": 18.58830186, "priceChangePercentage1y": 66.09826273, "priceChangePercentageAll": 55971535.22, "marketCap": 675831085200, "marketCapChangePercentage24h": 1.3332, "fullyDilutedMarketCap": 726791526700, "fullyDilutedMarketCapChangePercentage24h": 1.33, "circulatingSupply": 19527543, "totalSupply": 19527543, "maxSupply": 21000000, "marketCapDominance": 53.141, "rank": 1, "roi": 55962975.5, "low24h": 33947.56718, "high24h": 34743.26242, "low7d": 30097.82874, "high7d": 35150.4335, "low30d": 26558.32078, "high30d": 35150.4335, "low90d": 24930.29749, "high90d": 35150.4335, "low52w": 15599.04718, "high52w": 35150.4335, "lowAllTime": 65.52600098, "highAllTime": 68789.62594, "lowAllTimeChangePercentage": 52717.39, "highAllTimeChangePercentage": -49.69, "lowAllTimeTimestamp": "2013-07-05T18:56:01.000Z", "highAllTimeTimestamp": "2021-11-10T14:17:02.000Z", "lowYesterday": 33874.80478, "highYesterday": 34399.38898, "openYesterday": 33907.72365, "closeYesterday": 34089.57587, "priceChangePercentageYesterday": 0.54, "volumeYesterday": 10160330820, "turnover": 0.0151099, "ytdPriceChangePercentage": 108.1742, "volumeRank": 2, "volumeMcRank": 2554, "mcTotalNum": 8820, "volumeTotalNum": 8820, "volumeMcTotalNum": 8820, "status": "", "volume": 10211741340, "volumeChangePercentage24h": -7.5387}}
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dc04bfed-3361-4d9a-9321-8a55e67e379e/ae702448-e9f6-42d9-af74-c2310e1c40d7/0/0
Cryptocurrency Markets
Official cryptocurrency market API provides a comprehensive list of coins, profiles, stats, trends, most watch, top gainers/losers, newly created, and more! This API is ideal for web and APP developers.
8.8
v1/holders
Get the top holders for a specific cryptocurrency.
200
Response
{"meta": {"version": "v1.0", "status": 200, "copywrite": "https://devAPI.ai", "key": "bitcoin", "holderCount": 49181755, "dailyActive": 963625, "total": 100}, "data": [{"address": "34xp4vRoCGJym3xR7yCVPFHoCNxv4Twseo", "balance": 248597.3926, "share": 1.18}, {"address": "bc1qgdjqv0av3q56jvd82tkdjpy7gdp9ut8tlqmgrpmv24sq90ecnvqqjwvw97", "balance": 178010.0894, "share": 0.85}, {"address": "bc1ql49ydapnjafl5t2cp9zqpjwe6pdgmxy98859v2", "balance": 118300.2034, "share": 0.56}, {"address": "39884E3j6KZj82FK4vcCrkUvWYL5MQaS3v", "balance": 115177.3886, "share": 0.55}, {"address": "bc1qazcm763858nkj2dj986etajv6wquslv8uxwczt", "balance": 94643.30751, "share": 0.45}, {"address": "37XuVSEpWW4trkfmvWzegTHQt7BdktSKUs", "balance": 94505.34371, "share": 0.45}, {"address": "1FeexV6bAHb8ybZjqQMjJrcCrHGW9sb6uF", "balance": 79957.26463, "share": 0.38}, {"address": "bc1qa5wkgaew2dkv56kfvj49j0av5nml45x9ek9hz6", "balance": 69370.17885, "share": 0.33}, {"address": "3LYJfcfHPXYJreMsASk2jkn69LWEYKzexb", "balance": 68200.00441, "share": 0.32}, {"address": "bc1qd4ysezhmypwty5dnw7c8nqy5h5nxg0xqsvaefd0qn5kq32vwnwqqgv4rzr", "balance": 59300.09689, "share": 0.28}, {"address": "bc1qjasf9z3h7w3jspkhtgatgpyvvzgpa2wwd2lr0eh5tx44reyn2k7sfc27a4", "balance": 57576.31242, "share": 0.27}, {"address": "1LdRcdxfbSnmCYYNdeYpUnztiYzVfBEQeC", "balance": 53880.064, "share": 0.26}, {"address": "1AC4fMwgY8j9onSbXEWeH6Zan8QGMSdmtA", "balance": 51830.40042, "share": 0.25}, {"address": "1LruNZjwamWJXThX2Y8C2d47QqhAkkc5os", "balance": 44000.08676, "share": 0.21}, {"address": "bc1qjh0akslml59uuczddqu0y4p3vj64hg5mc94c40", "balance": 41188.17207, "share": 0.2}, {"address": "3LCGsSmfr24demGvriN4e3ft8wEcDuHFqh", "balance": 40487.33743, "share": 0.19}, {"address": "38DN2uFMZPiHLHJigfv4kWC9JWJrNnhLcn", "balance": 40041.0526, "share": 0.19}, {"address": "3LQUu4v9z6KNch71j7kbj8GPeAGUo1FW6a", "balance": 37926.97771, "share": 0.18}, {"address": "bc1q7ydrtdn8z62xhslqyqtyt38mm4e2c4h3mxjkug", "balance": 36000.42271, "share": 0.17}, {"address": "1Ay8vMC7R1UbyCCZRVULMV7iQpHSAbguJP", "balance": 34816.65506, "share": 0.17}, {"address": "bc1qs5vdqkusz4v7qac8ynx0vt9jrekwuupx2fl5udp9jql3sr03z3gsr2mf0f", "balance": 34231.06039, "share": 0.16}, {"address": "3MgEAFWu1HKSnZ5ZsC8qf61ZW18xrP5pgd", "balance": 34069.29801, "share": 0.16}, {"address": "12XqeqZRVkBDgmPLVY4ZC6Y4ruUUEug8Fx", "balance": 32321.00055, "share": 0.15}, {"address": "bc1qx9t2l3pyny2spqpqlye8svce70nppwtaxwdrp4", "balance": 31643.39755, "share": 0.15}, {"address": "3FHNBLobJnbCTFTVakh5TXmEneyf5PT61B", "balance": 31275.35083, "share": 0.15}, {"address": "12ib7dApVFvg82TXKycWBNpN8kFyiAN1dr", "balance": 31000.07376, "share": 0.15}, {"address": "bc1qf2yvj48mzkj7uf8lc2a9sa7w983qe256l5c8fs", "balance": 30174.70406, "share": 0.14}, {"address": "12tkqA9xSoowkzoERHMWNKsTey55YEBqkv", "balance": 28151.05914, "share": 0.13}, {"address": "3M219KR5vEneNb47ewrPfWyb5jQ2DjxRP6", "balance": 27865.13964, "share": 0.13}, {"address": "1aXzEKiDJKzkPxTZy9zGc3y1nCDwDPub2", "balance": 26140.38986, "share": 0.12}, {"address": "19N9sDbJ7MDQcPFSjPNqjNDzyRNbNsQ6Zv", "balance": 25314.38425, "share": 0.12}, {"address": "17MWdxfjPYP2PYhdy885QtihfbW181r1rn", "balance": 24495.35055, "share": 0.12}, {"address": "38UmuUqPCrFmQo4khkomQwZ4VbY2nZMJ67", "balance": 24066.97119, "share": 0.11}, {"address": "19D5J8c59P2bAkWKvxSYw8scD3KUNWoZ1C", "balance": 23969.00184, "share": 0.11}, {"address": "3G98jSULfhrES1J9HKfZdDjXx1sTNvHkhN", "balance": 23921.90805, "share": 0.11}, {"address": "1932eKraQ3Ad9MeNBHb14WFQbNrLaKeEpT", "balance": 22899.99045, "share": 0.11}, {"address": "1m5SViB9XNwsusvnnUqpfL9Q1E5EZxPHs", "balance": 22271.73167, "share": 0.11}, {"address": "15cHRgVrGKz7qp2JL2N5mkB2MCFGLcnHxv", "balance": 21545.00604, "share": 0.1}, {"address": "17rm2dvb439dZqyMe2d4D6AQJSgg6yeNRn", "balance": 20008.00225, "share": 0.1}, {"address": "3EMVdMehEq5SFipQ5UfbsfMsH223sSz9A9", "balance": 19678.83131, "share": 0.09}, {"address": "1PeizMg76Cf96nUQrYg8xuoZWLQozU5zGW", "balance": 19414.43132, "share": 0.09}, {"address": "39gUvGynQ7Re3i15G3J2gp9DEB9LnLFPMN", "balance": 18915.24498, "share": 0.09}, {"address": "bc1qkz55x35wlnrkrn5n0nq4wwsme9vszrwavu5qf4", "balance": 18500.04674, "share": 0.09}, {"address": "bc1qlhpkdeaaa345c4dw90hmvm3nn2r32f9jdj2v2p", "balance": 18320.04341, "share": 0.09}, {"address": "bc1qtrxc0use4hlm7fl0j6t37z7qlwl5eppj8lywz6", "balance": 17794.64382, "share": 0.08}, {"address": "bc1qcdqj2smprre85c78d942wx5tauw5n7uw92r7wr", "balance": 17675.39743, "share": 0.08}, {"address": "3Qxak1CZhLyZ7GVckKphLURdLBCjMfz9bA", "balance": 17669.22658, "share": 0.08}, {"address": "bc1q5vwscmf85w2vlq0qvr33dgpvu5rlrd42cqw6qn", "balance": 17382.97505, "share": 0.08}, {"address": "3H5JTt42K7RmZtromfTSefcMEFMMe18pMD", "balance": 16785.95139, "share": 0.08}, {"address": "bc1q4c8n5t00jmj8temxdgcc3t32nkg2wjwz24lywv", "balance": 16362.3182, "share": 0.08}, {"address": "34HpHYiyQwg69gFmCq2BGHjF1DZnZnBeBP", "balance": 16306.62925, "share": 0.08}, {"address": "1BAuq7Vho2CEkVkUxbfU26LhwQjbCmWQkD", "balance": 16277.00011, "share": 0.08}, {"address": "bc1qx2x5cqhymfcnjtg902ky6u5t5htmt7fvqztdsm028hkrvxcl4t2sjtpd9l", "balance": 16229.88974, "share": 0.08}, {"address": "1BLqxQASpnD5VbcYjU5WjxRdrbqE1SvYLr", "balance": 16223.9383, "share": 0.08}, {"address": "1GR9qNz7zgtaW5HwwVpEJWMnGWhsbsieCG", "balance": 15745.5597, "share": 0.07}, {"address": "1FZy7CPFA2UqqQJYUA1cG9KvdDFbSMBJYG", "balance": 15739.54375, "share": 0.07}, {"address": "35pgGeez3ou6ofrpjt8T7bvC9t6RrUK4p6", "balance": 14815.45029, "share": 0.07}, {"address": "3JZq4atUahhuA9rLhXLMhhTo133J9rF97j", "balance": 14588.51607, "share": 0.07}, {"address": "1KVpuCfhftkzJ67ZUegaMuaYey7qni7pPj", "balance": 14040.60802, "share": 0.07}, {"address": "1BZaYtmXka1y3Byi2yvXCDG92Tjz7ecwYj", "balance": 14000.00119, "share": 0.07}, {"address": "bc1qm34lsc65zpw79lxes69zkqmk6ee3ewf0j77s3h", "balance": 13227.37941, "share": 0.06}, {"address": "bc1q4vxn43l44h30nkluqfxd9eckf45vr2awz38lwa", "balance": 13003.02231, "share": 0.06}, {"address": "3BMEXqGpG4FxBA1KWhRFufXfSTRgzfDBhJ", "balance": 12803.23003, "share": 0.06}, {"address": "18NXYaxZoGEJCtrwx6vSSBmyj8JroZF5Yj", "balance": 12791.16659, "share": 0.06}, {"address": "1DNUjpHPNKMoKYBHxJz2Sh1uQQdJkGsXj5", "balance": 12267.02528, "share": 0.06}, {"address": "bc1qvhxafz8dqk8c25jsx669yd6qrxhl5dx72dyryp", "balance": 12098.88791, "share": 0.06}, {"address": "bc1qcdeadk07jkthules0yw9u9ue9pklvr608ez94jgwcf7h2ldzcg6qwxp9er", "balance": 12042.42676, "share": 0.06}, {"address": "1Cr7EjvS8C7gfarREHCvFhd9gT3r46pfLb", "balance": 11399.83297, "share": 0.05}, {"address": "1JHceFenZHACSRPD6tE4bfU6yJ83wTG6kH", "balance": 11343.6256, "share": 0.05}, {"address": "3A9qNS69dngSU2ak8BwZKEExeVnL2RqpYJ", "balance": 11210.01001, "share": 0.05}, {"address": "3FupZp77ySr7jwoLYEJ9mwzJpvoNBXsBnE", "balance": 11091.026, "share": 0.05}, {"address": "1ETseKYhuSh2JGqwAKon5QZTXSiCJkdKeb", "balance": 10884.1884, "share": 0.05}, {"address": "1F34duy2eeMz5mSrvFepVzy7Y1rBsnAyWC", "balance": 10770.53487, "share": 0.05}, {"address": "bc1qhd0r5kh3u9mhac7de58qd2rdfx4kkv84kpx302", "balance": 10500.0047, "share": 0.05}, {"address": "bc1qr4dl5wa7kl8yu792dceg9z5knl2gkn220lk7a9", "balance": 10337.58443, "share": 0.05}, {"address": "3BHXygmhNMaCcNn76S8DLdnZ5ucPtNtWGb", "balance": 10328.83357, "share": 0.05}, {"address": "385cR5DM96n1HvBDMzLHPYcw89fZAXULJP", "balance": 10301.84763, "share": 0.05}, {"address": "1Q8QR5k32hexiMQnRgkJ6fmmjn5fMWhdv9", "balance": 10216.72032, "share": 0.05}, {"address": "36zSLdRv1jyewjaC12fqK5fptn7PqewunL", "balance": 10031.96485, "share": 0.05}, {"address": "1f1miYFQWTzdLiCBxtHHnNiW7WAWPUccr", "balance": 10009.26319, "share": 0.05}, {"address": "bc1qsxdxm0exqdsmnl9ejrz250xqxrxpxkgf5nhhtq", "balance": 10001.74076, "share": 0.05}, {"address": "bc1qtef0p08lputg4qazhx2md43ynhc9kp20pn297qnz68068d9z48asmemanj", "balance": 10000.80234, "share": 0.05}, {"address": "12d1e4x5oprNf7au7BrTryx5D5mGCrXLY5", "balance": 10000.3097, "share": 0.05}, {"address": "1BAFWQhH9pNkz3mZDQ1tWrtKkSHVCkc3fV", "balance": 10000.0783, "share": 0.05}, {"address": "bc1qe75775tzuvspl59cw77ycc472jl0sgue69x3up", "balance": 10000.04356, "share": 0.05}, {"address": "14YK4mzJGo5NKkNnmVJeuEAQftLt795Gec", "balance": 10000.03561, "share": 0.05}, {"address": "1Ki3WTEEqTLPNsN5cGTsMkL2sJ4m5mdCXT", "balance": 10000.02522, "share": 0.05}, {"address": "1KbrSKrT3GeEruTuuYYUSQ35JwKbrAWJYm", "balance": 10000.01683, "share": 0.05}, {"address": "1P1iThxBH542Gmk1kZNXyji4E4iwpvSbrt", "balance": 10000.0128, "share": 0.05}, {"address": "12tLs9c9RsALt4ockxa1hB4iTCTSmxj2me", "balance": 10000.01135, "share": 0.05}, {"address": "1ucXXZQSEf4zny2HRwAQKtVpkLPTUKRtt", "balance": 10000.0104, "share": 0.05}, {"address": "1CPaziTqeEixPoSFtJxu74uDGbpEAotZom", "balance": 10000.01031, "share": 0.05}, {"address": "1GUfWdZQoo2pQ4BKHsiegxuZPnheY5ueTm", "balance": 10000.00847, "share": 0.05}, {"address": "12HnxiXEeKUVjQRbMVTytsGWnzHd5LdGCt", "balance": 10000.00756, "share": 0.05}, {"address": "17uULjz9moeLyjXHoKNwDRgKzf8ahY3Jia", "balance": 10000.00749, "share": 0.05}, {"address": "18qNs1yBGGKR8RyErnEF5kegbNUgPfixhS", "balance": 10000.00702, "share": 0.05}, {"address": "1MewpRkpcbFdqamPPYc1bXa9AJ189Succy", "balance": 10000.00574, "share": 0.05}, {"address": "1DzsfLRDfbmQM99xm59au2SrTY3YmciBSB", "balance": 10000.00573, "share": 0.05}, {"address": "1MtUMTqtdrpT6Rar5fgWoyrzAevatssej5", "balance": 10000.00572, "share": 0.05}, {"address": "1NhJGUJu8rrTwPS4vopsdTqqcK4nAwdLwJ", "balance": 10000.00571, "share": 0.05}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"version": {"type": "string"}, "status": {"type": "integer"}, "copywrite": {"type": "string"}, "key": {"type": "string"}, "holderCount": {"type": "integer"}, "dailyActive": {"type": "integer"}, "total": {"type": "integer"}}, "required": ["copywrite", "dailyActive", "holderCount", "key", "status", "total", "version"]}, "data": {"type": "array", "items": {"type": "object", "properties": {"address": {"type": "string"}, "balance": {"type": "number"}, "share": {"type": "number"}}, "required": ["address", "balance", "share"]}}}, "required": ["data", "meta"]}
dc04bfed-3361-4d9a-9321-8a55e67e379e/6366bd2b-fa47-468a-8708-ff844d71e49f/0/0
Cryptocurrency Markets
Official cryptocurrency market API provides a comprehensive list of coins, profiles, stats, trends, most watch, top gainers/losers, newly created, and more! This API is ideal for web and APP developers.
8.8
v1/profile
Get cryptocurrency profile details such as name, description, quotes, links, etc
200
Response
{"meta": {"version": "v1.0", "status": 200, "copywrite": "https://devAPI.ai", "key": "bitcoin"}, "body": {"key": "bitcoin", "name": "Bitcoin", "symbol": "BTC", "category": "coin", "description": "## What Is Bitcoin (BTC)?\n\n[Bitcoin](https://coinmarketcap.com/alexandria/article/an-intro-to-bitcoin) is a decentralized [cryptocurrency](https://coinmarketcap.com/alexandria/article/what-are-cryptocurrencies) originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://coinmarketcap.com/alexandria/article/who-is-satoshi-nakamoto). It was launched soon after, in January 2009.\n\n[Bitcoin](https://coinmarketcap.com/alexandria/article/what-is-bitcoin) is a peer-to-peer online currency, meaning that all [transactions](https://coinmarketcap.com/alexandria/article/how-long-does-a-bitcoin-transaction-take) happen directly between equal, independent network participants, without the need for any intermediary to permit or facilitate them. Bitcoin was created, according to Nakamoto\u2019s own words, to allow \u201conline payments to be sent directly from one party to another without going through a financial institution.\u201d\n\nSome concepts for a similar type of a decentralized electronic currency precede BTC, but Bitcoin holds the distinction of being the [first-ever cryptocurrency](https://coinmarketcap.com/alexandria/article/a-beginner-s-guide-to-investing-in-cryptocurrencies) to come into actual use.\n\n\n### Who Are the Founders of Bitcoin?\n\nBitcoin\u2019s original inventor is known under a pseudonym, Satoshi Nakamoto. As of 2021, the true identity of the person \u2014 or organization \u2014 that is behind the alias remains unknown.\n\nOn October 31, 2008, Nakamoto published Bitcoin\u2019s whitepaper, which described in detail how a peer-to-peer, online currency could be implemented. They proposed to use a decentralized ledger of transactions packaged in batches (called \u201cblocks\u201d) and secured by cryptographic algorithms \u2014 the whole system would later be dubbed \u201c[blockchain](https://coinmarketcap.com/alexandria/glossary/blockchain).\u201d\n\nJust two months later, on January 3, 2009, Nakamoto mined the first block on the Bitcoin network, known as the [genesis block](https://coinmarketcap.com/alexandria/glossary/genesis-block), thus launching the world\u2019s first cryptocurrency. Bitcoin price was $0 when first introduced, and most Bitcoins were obtained via mining, which only required moderately powerful devices (e.g. PCs) and mining software. The first known Bitcoin commercial transaction occurred on May 22, 2010, when programmer Laszlo Hanyecz traded 10,000 Bitcoins for two pizzas. At Bitcoin price today in mid-September 2021, those pizzas would be worth an astonishing $478 million. This event is now known as \u201cBitcoin Pizza Day.\u201d In July 2010, Bitcoin first started trading, with the Bitcoin price ranging from $0.0008 to $0.08 at that time.\n\nHowever, while Nakamoto was the original inventor of Bitcoin, as well as the author of its very first implementation, he handed the network alert key and control of the code repository to Gavin Andresen, who later became lead developer at the Bitcoin Foundation. Over the years a large number of people have contributed to improving the cryptocurrency\u2019s software by patching vulnerabilities and adding new features.\n\nBitcoin\u2019s source code repository on GitHub lists more than 750 contributors, with some of the key ones being Wladimir J. van der Laan, Marco Falke, Pieter Wuille, Gavin Andresen, Jonas Schnelli and others.\n\n\n### What Makes Bitcoin Unique?\n\nBitcoin\u2019s most unique advantage comes from the fact that it was the very first cryptocurrency to appear on the market.\n\nIt has managed to create a global community and give birth to an entirely new industry of millions of enthusiasts who create, invest in, trade and use Bitcoin and other cryptocurrencies in their everyday lives. The emergence of the first cryptocurrency has created a conceptual and technological basis that subsequently inspired the development of thousands of competing projects.\n\n[The entire cryptocurrency market](https://coinmarketcap.com/) \u2014 now worth more than $2 trillion \u2014 is based on the idea realized by Bitcoin: money that can be sent and received by anyone, anywhere in the world without reliance on trusted intermediaries, such as banks and financial services companies.\n\nThanks to its pioneering nature, BTC remains at the top of this energetic market after over a decade of existence. Even after Bitcoin has lost its undisputed dominance, it remains the largest [cryptocurrency](https://coinmarketcap.com/alexandria/article/what-are-cryptocurrencies), with a [market capitalization](https://coinmarketcap.com/alexandria/glossary/market-capitalization-market-cap-mcap) that surpassed the $1 trillion mark in 2021, after Bitcoin price hit an all-time high of $64,863.10 on April 14, 2021. This is owing in large part to growing institutional interest in Bitcoin, and the ubiquitousness of platforms that provide use-cases for BTC: [wallets](https://coinmarketcap.com/alexandria/article/how-to-use-a-bitcoin-wallet), exchanges, payment services, online games and more.\n\n\n##### Related Pages:\n\nLooking for market and blockchain data for BTC? Visit our [block explorer](https://blockchain.coinmarketcap.com/chain/bitcoin).\n\nWant to buy Bitcoin? Use CoinMarketCap\u2019s [guide](https://coinmarketcap.com/how-to-buy-bitcoin/).\n\nWant to keep track of Bitcoin prices live? Download the [CoinMarketCap mobile app](https://coinmarketcap.com/mobile/)!\n\nWant to convert Bitcoin price today to your desired fiat currency? Check out [CoinMarketCap exchange rate calculator](https://coinmarketcap.com/converter/).\n\n[Should you buy Bitcoin with PayPal?](https://coinmarketcap.com/alexandria/article/if-you-buy-bitcoin-on-paypal-you-didnt-buy-bitcoin-crypto-expert-claims)\n\n[What is wrapped Bitcoin?](https://coinmarketcap.com/alexandria/article/what-is-wrapped-bitcoin)\n\n[Will Bitcoin volatility ever reduce?](https://coinmarketcap.com/alexandria/article/will-bitcoin-volatility-ever-reduce)\n\n[How to use a Bitcoin ATM](https://coinmarketcap.com/alexandria/article/how-to-use-a-bitcoin-atm)\n\n\n### How Much Bitcoin Is in Circulation?\n\nBitcoin\u2019s [total supply](https://coinmarketcap.com/alexandria/article/what-is-tokenomics) is limited by its software and will never exceed 21,000,000 coins. New coins are created during the process known as [\u201cmining\u201d](https://coinmarketcap.com/alexandria/article/how-long-does-it-take-to-mine-one-bitcoin): as transactions are relayed across the network, they get picked up by miners and packaged into blocks, which are in turn protected by complex cryptographic calculations.\n\nAs compensation for spending their computational resources, the miners receive rewards for every block that they successfully add to the blockchain. At the moment of Bitcoin\u2019s launch, the reward was 50 bitcoins per block: this number gets [halved](https://coinmarketcap.com/halving/bitcoin/) with every 210,000 new blocks mined \u2014 which takes the network roughly four years. As of 2020, the block reward has been halved three times and comprises 6.25 bitcoins.\n\nBitcoin has not been premined, meaning that no coins have been mined and/or distributed between the founders before it became available to the public. However, during the first few years of BTC\u2019s existence, the competition between miners was relatively low, allowing the earliest network participants to accumulate significant amounts of coins via regular mining: Satoshi Nakamoto alone is believed to own over a million Bitcoin.\n\n[Mining Bitcoins](https://coinmarketcap.com/alexandria/article/how-to-mine-bitcoin) can be very profitable for miners, depending on the current hash rate and the price of Bitcoin. While the process of mining Bitcoins is complex, we discuss [how long it takes](https://coinmarketcap.com/alexandria/article/how-long-does-it-take-to-mine-one-bitcoin) to mine one Bitcoin on CoinMarketCap [Alexandria](https://coinmarketcap.com/alexandria/) \u2014 as we wrote above, mining Bitcoin is best understood as how long it takes to mine one block, as opposed to one Bitcoin. As of mid-September 2021, the Bitcoin mining reward is capped to 6.25 BTC after the [2020 halving](https://coinmarketcap.com/alexandria/article/bitcoin-halvings-what-they-are-why-they-happen-and-why-you-should-care), which is roughly $299,200 in Bitcoin price today.\n\n\n### How Is the Bitcoin Network Secured?\n\nBitcoin is secured with the [SHA-256 algorithm](https://coinmarketcap.com/alexandria/glossary/sha-256), which belongs to the SHA-2 family of hashing algorithms, which is also used by its fork Bitcoin Cash ([BCH](https://coinmarketcap.com/currencies/bitcoin-cash/)), as well as several other cryptocurrencies.\n\n### Bitcoin Energy Consumption\n\nOver the past few decades, consumers have become more curious about their energy consumption and personal effects on climate change. When news stories started swirling regarding the possible negative effects of Bitcoin\u2019s energy consumption, many became concerned about Bitcoin and criticized this energy usage. A report found that each Bitcoin transaction takes 1,173 KW hours of electricity, which can \u201cpower the typical American home for six weeks.\u201d Another report calculates that the energy required by Bitcoin annually is more than the annual hourly energy usage of Finland, a country with a population of 5.5 million. \n\nThe news has produced commentary from tech entrepreneurs to environmental activists to political leaders alike. In May 2021, Tesla CEO Elon Musk even stated that Tesla would no longer accept the cryptocurrency as payment, due to his concern regarding its environmental footprint. Though many of these individuals have condemned this issue and move on, some have prompted solutions: how do we make Bitcoin more energy efficient? Others have simply taken the defensive position, stating that the Bitcoin energy problem may be exaggerated. \n\nAt present, miners are heavily reliant on renewable energy sources, with estimates suggesting that Bitcoin\u2019s use of renewable energy may span anywhere from 40-75%. However, to this point, critics claim that increasing Bitcoin\u2019s renewable energy usage will take away from solar sources powering other sectors and industries like hospitals, factories or homes. The Bitcoin mining community also attests that the expansion of mining can help lead to the construction of new solar and wind farms in the future. \n\nFurthermore, some who defend Bitcoin argue that the gold and banking sector \u2014 individually \u2014 consume twice the amount of energy as Bitcoin, making the criticism of Bitcoin\u2019s energy consumption a nonstarter. Moreover, the energy consumption of Bitcoin can easily be tracked and traced, which the same cannot be said of the other two sectors. Those who defend Bitcoin also note that the complex validation process creates a more secure transaction system, which justifies the energy usage. \n\nAnother point that Bitcoin proponents make is that the energy usage required by Bitcoin is all-inclusive such that it encompasess the process of creating, securing, using and transporting Bitcoin. Whereas with other financial sectors, this is not the case. For example, when calculating the carbon footprint of a payment processing system like Visa, they fail to calculate the energy required to print money or power ATMs, or smartphones, bank branches, security vehicles, among other components in the payment processing and banking supply chain. \n\nWhat exactly are governments and nonprofits doing to reduce Bitcoin energy consumption? Earlier this year in the U.S., a congressional hearing was held on the topic where politicians and tech figures discussed the future of crypto mining in the U.S, specifically highlighting their concerns regarding fossil fuel consumption. Leaders also discussed the current debate surrounding the coal-to-crypto trend, particularly regarding the number of coal plants in New York and Pennsylvania that are in the process of being repurposed into mining farms. \n\nAside from congressional hearings, there are private sector crypto initiatives dedicated to solving environmental issues such as the Crypto Climate Accord and Bitcoin Mining Council. In fact, the Crypto Climate Accord proposes a plan to eliminate all greenhouse gas emissions by 2040, And, due to the innovative potential of Bitcoin, it is reasonable to believe that such grand plans may be achieved. \n\n\n### What Is Bitcoin\u2019s Role as a Store of Value?\n\nBitcoin is the first decentralized, peer-to-peer digital currency. One of its most important functions is that it is used as a decentralized store of value. In other words, it provides for ownership rights as a physical asset or as a unit of account. However, the latter store-of-value function has been debated. Many crypto enthusiasts and economists believe that high-scale adoption of the top currency will lead us to a new modern financial world where transaction amounts will be denominated in smaller units.\n\nThe smallest units of Bitcoin, 0.00000001 BTC, are called [Satoshis](https://coinmarketcap.com/alexandria/glossary/satoshi-sats) (or Sats in short), in a nod to the pseudonymous creator. At Bitcoin price now, 1 Satoshi is equivalent to roughly $0.00048.\n\nThe top crypto is considered a store of value, like gold, for many \u2014 rather than a currency. This idea of the first cryptocurrency as a store of value, instead of a payment method, means that many people buy the crypto and hold onto it long-term (or HODL) rather than spending it on items like you would typically spend a dollar \u2014 treating it as digital gold.\n\n\n### Crypto Wallets\n\nThe most popular wallets for cryptocurrency include both hot and cold wallets. Cryptocurrency wallets vary from hot wallets and cold wallets. Hot wallets are able to be connected to the web, while cold wallets are used for keeping large amounts of coins outside of the internet.\n\nSome of the top crypto cold wallets are Trezor, Ledger and CoolBitX. Some of the top crypto hot wallets include Exodus, Electrum and Mycelium.\n\nStill not sure of which wallet to use? Check out CoinMarketCap Alexandria\u2019s guide on the [top cold wallets of 2021](https://coinmarketcap.com/alexandria/article/best-crypto-cold-wallets) and[ top hot wallets of 2021](https://coinmarketcap.com/alexandria/article/10-best-crypto-hot-wallets-for-beginners).\n\n\n## How Is Bitcoin\u2019s Technology Upgraded?\n\nA [hard fork](https://coinmarketcap.com/alexandria/glossary/hard-fork-blockchain) is a radical change to the protocol that makes previously invalid blocks/transactions valid, and therefore requires all users to upgrade. For example, if users A and B are disagreeing on whether an incoming transaction is valid, a hard fork could make the transaction valid to users A and B, but not to user C.\n\nA hard fork is a protocol upgrade that is not backward compatible. This means every node (computer connected to the Bitcoin network using a client that performs the task of validating and relaying transactions) needs to upgrade before the new blockchain with the hard fork activates and rejects any blocks or transactions from the old blockchain. The old blockchain will continue to exist and will continue to accept transactions, although it may be incompatible with other newer Bitcoin clients.\n\nA [soft fork](https://coinmarketcap.com/alexandria/glossary/soft-fork-blockchain) is a change to the Bitcoin protocol wherein only previously valid blocks/transactions are made invalid. Since old nodes will recognise the new blocks as valid, a soft fork is backward-compatible. This kind of fork requires only a majority of the miners upgrading to enforce the new rules.\n\nSome examples of prominent cryptocurrencies that have undergone hard forks are the following: [Bitcoin\u2019s hard fork](https://coinmarketcap.com/alexandria/article/what-is-bitcoin-cash) that resulted in Bitcoin Cash, [Ethereum\u2019s hard fork](https://coinmarketcap.com/alexandria/article/ethereum-vs-ethereum-classic) that resulted in Ethereum Classic.\n\nBitcoin Cash has been hard forked since its original forking, with the creation of Bitcoin SV. Read more about the difference between Bitcoin, Bitcoin Cash and Bitcoin SV [here](https://coinmarketcap.com/alexandria/article/bitcoin-vs-bitcoin-cash-vs-bitcoin-sv).\n\n### What Is Taproot? \n\nTaproot is a [soft fork](https://coinmarketcap.com/alexandria/glossary/soft-fork-blockchain) that bundles together BIP 340, 341 and 342 and aims to improve the scalability, efficiency, and privacy of the blockchain by introducing several new features. \n\nThe two major changes are the introduction of the Merkelized Abstract Syntax Tree (MAST) and Schnorr Signature. MAST introduces a condition allowing the sender and recipient of a transaction to sign off on its settlement together. Schnorr Signature allows users to aggregate several signatures into one for a single transaction. This results in [multi-signature](https://coinmarketcap.com/alexandria/glossary/multisignature) transactions looking the same as regular transactions or more complex ones. By introducing this new address type, users can also save on transaction fees, as even complex transactions look like simple, single-signature ones. \n\nAlthough [HODL](https://coinmarketcap.com/alexandria/glossary/hodl)ers will probably not notice a big impact, Taproot could become a key milestone to equipping the network with [smart contract](https://coinmarketcap.com/alexandria/glossary/smart-contract) functionality. In particular, Schnorr Signatures would lay the foundation for more complex applications to be built on top of the existing blockchain, as users start switching to Taproot addresses primarily. If adopted by users, Taproot could, in the long run, result in the network developing its own [DeFi](https://coinmarketcap.com/alexandria/glossary/defi) ecosystem that rivals those on alternative blockchains like [Ethereum](https://coinmarketcap.com/currencies/ethereum/). \n\n### What Is the Lightning Network?\n\nThe Lightning Network is an off-chain, layered payment protocol that operates bidirectional payment channels which allows instantaneous transfer with instant reconciliation. It enables private, high volume and trustless transactions between any two parties. The Lightning Network scales transaction capacity without incurring the costs associated with transactions and interventions on the underlying blockchain.\n\n## Who Are the Largest Corporate Holders of Bitcoin?\n\nA few years ago, the idea that a publicly traded company might hold Bitcoin on its balance sheets seemed highly laughable. The flagship cryptocurrency was considered to be too volatile to be adopted by any serious business. Many top investors, including Warren Buffett, labeled the asset a \u201cbubble waiting to pop.\u201d\n\nThis negative sentiment appears to have been broken, with a number of corporate behemoths buying up Bitcoin since 2020. In particular, business intelligence firm MicroStrategy set the pace after it bought $425 million worth of Bitcoin in August and September 2020. Since then, many others have followed suit, including EV manufacturer [Tesla](https://coinmarketcap.com/alexandria/article/tesla-has-made-100m-on-bitcoin-already-but-elon-musk-is-being-criticized).\n\nMicroStrategy has by far the largest Bitcoin portfolio held by any publicly-traded company. The business analytics platform has adopted Bitcoin as its primary reserve asset, aggressively buying the cryptocurrency through 2021 and 2022. As of August 30, 2022, the company had 129,699 Bitcoin in its reserve, equivalent to just over $2.5 billion.\n\nOther top corporate holders include Marathon Digital Holdings, with 10,054 BTC, Coinbase (9,000), Square Inc. (8,027), and Hut 8 Mining Corp. (7,078).\n\n\n## Is Bitcoin Political?\n\nBitcoin is becoming more political by the day, particularly after El Salvador began accepting the currency as [legal tender](https://coinmarketcap.com/alexandria/article/el-salvador-plans-to-make-bitcoin-legal-tender-why-thats-a-big-deal). The country's president, Nayib Bukele, announced and implemented the decision almost unilaterally, dismissing criticism from [his citizens](https://coinmarketcap.com/alexandria/article/bitcoin-atm-set-on-fire-as-el-salvador-marks-independence-day), the [Bank of England](https://coinmarketcap.com/alexandria/article/bank-of-england-criticizes-el-salvador-over-bitcoin), the [IMF](https://coinmarketcap.com/alexandria/article/imf-warns-that-el-salvadors-plan-to-adopt-bitcoin-has-risks), [Vitalik Buterin](https://coinmarketcap.com/alexandria/article/reckless-buterin-attacks-el-salvador-s-president) and many others. Since the Bitcoin legal tender law was passed in September 2021, Bukele has also announced plans to build [Bitcoin City](https://coinmarketcap.com/alexandria/article/el-salvador-to-build-world-s-first-bitcoin-city), a city fully based on mining Bitcoin with geothermal energy from volcanoes. \n\nCountries like [Mexico](https://coinmarketcap.com/alexandria/article/mexico-has-no-plans-to-make-bitcoin-legal-tender), [Russia](https://coinmarketcap.com/alexandria/article/russia-says-it-wont-make-bitcoin-legal-tender-as-media-says-el-salvador-is-making-dangerous-gamble) and others have been rumored to be candidates also to accept Bitcoin as legal tender, but thus far, El Salvador stands alone. \n\nOn the flip side, countries like China have moved to heavily [clamp down](https://coinmarketcap.com/alexandria/article/bitcoin-price-falls-as-china-declares-all-crypto-transactions-are-illegal) on Bitcoin mining and trading activities. In May 2021, the Chinese government declared that all crypto-related transactions are illegal. This was followed by a heavy crackdown on Bitcoin mining operations, forcing many crypto-related businesses to flee to friendlier regions.\n\nSurprisingly, the anti-crypto stance of the Chinese government has done little to stop the industry. According to data by the [University of Cambridge](https://ccaf.io/cbeci/mining_map), China is now the second-biggest contributor to Bitcoin's global hash rate, only behind the United States.\n\n### How Much Is Bitcoin?\n\nThe current valuation of Bitcoin is constantly moving, all day every day. It is a truly global asset. From a start of under one cent per coin, BTC has risen in price by thousands of percent to the numbers you see above. The prices of all cryptocurrencies are quite volatile, meaning that anyone\u2019s understanding of how much Bitcoin is will change by the minute. However, there are times when different countries and exchanges show different prices and understanding how much Bitcoin is will be a function of a person\u2019s location.\n\n\n### Where Can You Buy Bitcoin (BTC)?\n\nBitcoin is, in many regards, almost synonymous with cryptocurrency, which means that you can [buy Bitcoin](https://www.binance.com/en/buy-Bitcoin) on virtually every crypto exchange \u2014 both for fiat money and other cryptocurrencies. Some of the main markets where BTC trading is available are:\n\n* [Binance](https://www.binance.com/en/price/bitcoin)\n* [Coinbase Pro](https://coinmarketcap.com/exchanges/coinbase-pro/)\n* [OKEx](https://coinmarketcap.com/exchanges/okex/)\n* [Kraken](https://coinmarketcap.com/exchanges/kraken/)\n* [Huobi Global](https://coinmarketcap.com/exchanges/huobi-global/)\n* [Bitfinex](https://coinmarketcap.com/exchanges/bitfinex/)\n\nIf you are new to crypto, use CoinMarketCap\u2019s own educational portal \u2014 [Alexandria](https://coinmarketcap.com/alexandria) \u2014 to learn how to start [buying Bitcoin](https://coinmarketcap.com/alexandria/article/how-to-buy-bitcoin) and other cryptocurrencies.", "dateAdded": "2010-07-13T00:00:00.000Z", "status": "active", "urls": {"website": ["https://bitcoin.org/"], "technical_doc": ["https://bitcoin.org/bitcoin.pdf"], "explorer": ["https://blockchain.info/", "https://live.blockcypher.com/btc/", "https://blockchair.com/bitcoin", "https://explorer.viabtc.com/btc", "https://www.oklink.com/btc"], "source_code": ["https://github.com/bitcoin/bitcoin"], "message_board": ["https://coinmarketcap.com/community/profile/Bitcoin_CMC", "https://coinmarketcap.com/community/search/top/bitcoin", "https://bitcointalk.org"], "chat": [], "announcement": [], "reddit": ["https://reddit.com/r/bitcoin"], "facebook": [], "twitter": []}}}
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Cryptocurrencies Technical Study
Introducing the ultimate tool for cryptocurrency enthusiasts and traders - our REST API for technical studies and pattern recognition in the cryptocurrency market! With our cutting-edge technology and advanced algorithms, you can now easily access valuable insights and data on the latest trends and movements in the crypto market. Our REST API provides real-time analysis of various cryptocurrencies, helping you make informed decisions and stay ahead of the competition.
6.8
Cryptocurrencies Symbols List
Returns the list of the supported cryptocurrencies symbols
200
Response
{"symbols": ["BTCUSD4", "ETHUSD4", "XRPUSD", "BCHUSD4", "LTCUSD4", "USDTUSD4", "BTCUSDT", "ETHUSDT", "XRPUSDT", "BCHUSDT", "LTCUSDT", "BNBUSD4", "BNBUSDT", "ETHBTC", "XRPBTC", "BNBBTC", "LTCBTC", "BCHBTC", "ADAUSD4", "BATUSD4", "ETCUSD4", "XLMUSD4", "ZRXUSD4", "ADAUSDT", "BATUSDT", "ETCUSDT", "XLMUSDT", "ZRXUSDT", "LINKUSD4", "RVNUSD4", "DASHUSD4", "ZECUSD4", "ALGOUSD4", "IOTAUSD4", "BUSDUSD4", "BTCBUSD", "DOGEUSDT", "WAVESUSD4", "ATOMUSDT", "ATOMUSD4", "NEOUSDT", "NEOUSD4", "VETUSDT", "QTUMUSDT", "QTUMUSD4", "NANOUSD", "ICXUSD4", "ENJUSD4", "ONTUSD4", "ONTUSDT", "ZILUSD4", "ZILBUSD", "VETUSD4", "BNBBUSD", "XRPBUSD", "ETHBUSD", "ALGOBUSD", "XTZUSD4", "XTZBUSD", "HBARUSD4", "HBARBUSD", "OMGUSD4", "OMGBUSD", "MATICUSD4", "MATICBUSD", "XTZBTC", "ADABTC", "REPBUSD", "REPUSD", "EOSBUSD", "EOSUSD4", "DOGEUSD4", "KNCUSD4", "KNCUSDT", "VTHOUSDT", "VTHOUSD4", "USDCUSD4", "COMPUSDT", "COMPUSD4", "MANAUSD4", "HNTUSD4", "HNTUSDT", "MKRUSD4", "MKRUSDT", "DAIUSD4", "ONEUSDT", "ONEUSD4", "BANDUSDT", "BANDUSD4", "STORJUSDT", "STORJUSD4", "BUSDUSDT", "UNIUSD4", "UNIUSDT", "SOLUSD4", "SOLUSDT", "LINKBTC", "VETBTC", "UNIBTC", "EGLDUSDT", "EGLDUSD4", "PAXGUSDT", "PAXGUSD4", "OXTUSDT", "OXTUSD4", "ZENUSDT", "ZENUSD4", "BTCUSDC", "ONEBUSD", "FILUSDT", "FILUSD4", "AAVEUSDT", "AAVEUSD4", "GRTUSDT", "GRTUSD4", "SUSHIUSD4", "ANKRUSD4", "AMPUSD", "SHIBUSDT", "SHIBBUSD", "CRVUSDT", "CRVUSD4", "AXSUSDT", "AXSUSD4", "SOLBTC", "AVAXUSDT", "AVAXUSD4", "CTSIUSDT", "CTSIUSD4", "DOTUSDT", "DOTUSD4", "YFIUSDT", "YFIUSD4", "1INCHUSDT", "1INCHUSD4", "FTMUSDT", "FTMUSD4", "USDCUSDT", "ETHUSDC", "USDCBUSD", "MATICUSDT", "MANAUSDT", "MANABUSD", "ALGOUSDT", "ADABUSD", "SOLBUSD", "LINKUSDT", "EOSUSDT", "ZECUSDT", "ENJUSDT", "NEARUSDT", "NEARBUSD", "NEARUSD4", "OMGUSDT", "SUSHIUSDT", "LRCUSDT", "LRCUSD4", "LRCBTC", "KSHIBUSD4", "LPTUSDT", "LPTBUSD", "LPTUSD4", "POLYUSDT", "POLYBUSD", "POLYUSD", "POLYBTC", "MATICBTC", "DOTBTC", "NMRUSDT", "NMRUSD4", "SLPUSDT", "SLPUSD4", "ANTUSDT", "ANTUSD4", "XNOUSD4", "CHZUSDT", "CHZUSD4", "OGNUSDT", "OGNUSD4", "GALAUSDT", "GALAUSD4", "TLMUSDT", "TLMUSD4", "SNXUSDT", "SNXUSD4", "AUDIOUSDT", "AUDIOUSD4", "ENSUSDT", "MANABTC", "ATOMBTC", "AVAXBTC", "WBTCBTC", "REQUSDT", "REQUSD4", "APEUSDT", "APEUSD4", "FLUXUSDT", "FLUXUSD4", "TRXBTC", "TRXBUSD", "TRXUSDT", "TRXUSD4", "COTIUSDT", "COTIUSD4", "VOXELUSDT", "VOXELUSD4", "RLCUSDT", "RLCUSD4", "USTUSDT", "USTUSD", "BICOUSDT", "BICOUSD4", "API3USDT", "API3USD4", "ENSUSD4", "BTCUST", "BNTUSDT", "BNTUSD4", "IMXUSDT", "IMXUSD4", "SPELLUSDT", "SPELLUSD4", "JASMYUSDT", "JASMYUSD4", "FLOWUSDT", "FLOWUSD4", "GTCUSDT", "GTCUSD4", "THETAUSDT", "THETAUSD4", "TFUELUSDT", "TFUELUSD4", "OCEANUSDT", "OCEANUSD4", "LAZIOUSDT", "LAZIOUSD4", "SANTOSUSDT", "SANTOSUSD4", "ALPINEUSDT", "ALPINEUSD4", "PORTOUSDT", "PORTOUSD4", "RENUSDT", "RENUSD4", "CELRUSDT", "CELRUSD4", "SKLUSDT", "SKLUSD4", "VITEUSDT", "VITEUSD4", "WAXPUSDT", "WAXPUSD4", "LTOUSDT", "LTOUSD4", "FETUSDT", "FETUSD4", "BONDUSDT", "BONDUSD4", "LOKAUSDT", "LOKAUSD4", "ICPUSDT", "ICPUSD4", "TUSDT", "TUSD4", "OPUSDT", "OPUSD4", "ROSEUSDT", "ROSEUSD4", "CELOUSDT", "CELOUSD4", "KDAUSDT", "KDAUSD4", "KSMUSDT", "KSMUSD4", "ACHUSDT", "ACHUSD4", "DARUSDT", "DARUSD4", "RNDRUSDT", "RNDRUSD4", "SYSUSDT", "SYSUSD4", "RADUSDT", "RADUSD4", "ILVUSDT", "ILVUSD4", "LDOUSDT", "LDOUSD4", "RAREUSDT", "RAREUSD4", "LSKUSDT", "LSKUSD4", "DGBUSDT", "DGBUSD4", "REEFUSDT", "REEFUSD4", "SRMUSDT", "SRMUSD", "ALICEUSDT", "ALICEUSD4", "FORTHUSDT", "FORTHUSD4", "ASTRUSDT", "ASTRUSD4", "BTRSTUSDT", "BTRSTUSD4", "GALUSDT", "GALUSD4", "SANDUSDT", "SANDUSD4", "BALUSDT", "BALUSD4", "POLYXUSD4", "GLMUSDT", "GLMUSD4", "CLVUSDT", "CLVUSD4", "TUSDUSDT", "TUSDUSD4", "QNTUSDT", "QNTUSD4", "STGUSDT", "STGUSD4", "AXLUSDT", "AXLUSD4", "KAVAUSDT", "KAVAUSD4", "APTUSDT", "APTUSD4", "MASKUSDT", "MASKUSD4", "BOSONUSDT", "BOSONUSD4", "PONDUSDT", "PONDUSD4", "SOLUSDC", "ADAUSDC", "MXCUSDT", "MXCUSD4", "JAMUSDT", "JAMUSD4", "TRACUSDT", "PROMUSDT", "PROMUSD4", "DIAUSDT", "DIAUSD4", "BTCDAI", "ETHDAI", "ADAETH", "DOGEBTC", "LOOMUSDT", "LOOMUSD4", "STMXUSDT", "BTCUSD", "ETHUSD", "BCHUSD", "LTCUSD", "USDTUSD", "BNBUSD", "ADAUSD", "BATUSD", "ETCUSD", "XLMUSD", "ZRXUSD", "LINKUSD", "RVNUSD", "DASHUSD", "ZECUSD", "ALGOUSD", "IOTAUSD", "BUSDUSD", "WAVESUSD", "ATOMUSD", "NEOUSD", "QTUMUSD", "ICXUSD", "ENJUSD", "ONTUSD", "ZILUSD", "VETUSD", "XTZUSD", "HBARUSD", "OMGUSD", "MATICUSD", "EOSUSD", "DOGEUSD", "KNCUSD", "VTHOUSD", "USDCUSD", "COMPUSD", "MANAUSD", "HNTUSD", "MKRUSD", "DAIUSD", "ONEUSD", "BANDUSD", "STORJUSD", "UNIUSD", "SOLUSD", "EGLDUSD", "PAXGUSD", "OXTUSD", "ZENUSD", "FILUSD", "AAVEUSD", "GRTUSD", "SUSHIUSD", "ANKRUSD", "CRVUSD", "AXSUSD", "AVAXUSD", "CTSIUSD", "DOTUSD", "YFIUSD", "1INCHUSD", "FTMUSD", "NEARUSD", "LRCUSD", "KSHIBUSD", "LPTUSD", "NMRUSD", "SLPUSD", "ANTUSD", "XNOUSD", "CHZUSD", "OGNUSD", "GALAUSD", "TLMUSD", "SNXUSD", "AUDIOUSD", "REQUSD", "APEUSD", "FLUXUSD", "TRXUSD", "COTIUSD", "VOXELUSD", "RLCUSD", "BICOUSD", "API3USD", "ENSUSD", "BNTUSD", "IMXUSD", "SPELLUSD", "JASMYUSD", "FLOWUSD", "GTCUSD", "THETAUSD", "TFUELUSD", "OCEANUSD", "LAZIOUSD", "SANTOSUSD", "ALPINEUSD", "PORTOUSD", "RENUSD", "CELRUSD", "SKLUSD", "VITEUSD", "WAXPUSD", "LTOUSD", "FETUSD", "BONDUSD", "LOKAUSD", "ICPUSD", "TUSD", "OPUSD", "ROSEUSD", "CELOUSD", "KDAUSD", "KSMUSD", "ACHUSD", "DARUSD", "RNDRUSD", "SYSUSD", "RADUSD", "ILVUSD", "LDOUSD", "RAREUSD", "LSKUSD", "DGBUSD", "REEFUSD", "ALICEUSD", "FORTHUSD", "ASTRUSD", "BTRSTUSD", "GALUSD", "SANDUSD", "BALUSD", "POLYXUSD", "GLMUSD", "CLVUSD", "TUSDUSD", "QNTUSD", "STGUSD", "AXLUSD", "KAVAUSD", "APTUSD", "MASKUSD", "BOSONUSD", "PONDUSD", "MXCUSD", "JAMUSD", "PROMUSD", "DIAUSD", "LOOMUSD", "STMXUSD", "SHIBUSD", "TRACUSD"]}
{"type": "object", "properties": {"symbols": {"type": "array", "items": {"type": "string"}}}}
f7547308-e57c-4301-8558-aada307e8377/6d5e6fa0-4e93-49cf-b3f5-eaa7fc8f9dfe/0/0
invoice-pdf-api
API for creating generating PDF invoices and converting HTML to PDF files. API returns base64 outputs.
null
Convert any HTML to PDF
The endpoint returns base64 format.
200
New Example
{"pdf": "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"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"pdf": {"type": "string"}}, "required": ["pdf"]}
f7547308-e57c-4301-8558-aada307e8377/2df13d0f-e314-4a5a-a63b-0620ba00f038/0/0
invoice-pdf-api
API for creating generating PDF invoices and converting HTML to PDF files. API returns base64 outputs.
null
Generate an invoice
The endpoint returns base64 format.
200
New Example
{"invoice": 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"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"invoice": {"type": "string"}}, "required": ["invoice"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/35df7274-0e2d-4dc8-83f8-463470fbce12/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
stock/v2/get-news
Get news in the News tab
200
Response
{"0P0000OQN8": {"ticker": {"value": "TSLA", "filtered": false}, "website": {"value": "https://www.tesla.com", "filtered": false}, "headquarterCountry": {"value": "United States", "filtered": false}, "stockType": {"value": "Cyclical", "filtered": false}, "headquarterAddress1": {"value": "3500 Deer Creek Road", "filtered": false}, "industry": {"value": "Auto Manufacturers", "filtered": false}, "stockStarRating": {"value": "0", "filtered": true, "date": {"value": "2022-02-17", "filtered": false}, "text": {"value": "Overvalued", "filtered": false}, "type": {"value": "Qual", "filtered": false}}, "fiscalYearEndDate": {"value": "2021-12-31", "filtered": false}, "headquarterCity": {"value": "Palo Alto", "filtered": false}, "headquarterState": {"value": "CA", "filtered": false}, "reportDate": {"value": "2021-12-31", "filtered": false}, "phone": {"value": "+1 650 681-5000", "filtered": false}, "universe": {"value": "EQ", "filtered": false}, "headquarterPostalCode": {"value": "94304", "filtered": false}, "exchange": {"value": "XNAS", "filtered": false}, "companyProfile": {"value": "Founded in 2003 and based in Palo Alto, California, Tesla is a vertically integrated sustainable energy company that also aims to transition the world to electric mobility by making electric vehicles. The company sells solar panels and solar roofs for energy generation plus batteries for stationary storage for residential and commercial properties including utilities. Tesla has multiple vehicles in its fleet, which include luxury and midsize sedans and crossover SUVs. The company also plans to begin selling more affordable sedans and small SUVs, a light truck, a semi truck, and a sports car. Global deliveries in 2021 were a little over 936,000 units.", "filtered": false}, "fax": {"value": "+1 650 681-5101", "filtered": false}, "totalEmployees": {"value": 99290, "filtered": false}, "sector": {"value": "Consumer Cyclical", "filtered": false}}}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"0P0000OQN8": {"type": "object", "properties": {"ticker": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "website": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterCountry": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "stockType": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterAddress1": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "industry": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "stockStarRating": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}, "date": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "text": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "type": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["date", "filtered", "text", "type", "value"]}, "fiscalYearEndDate": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterCity": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterState": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "reportDate": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "phone": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "universe": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterPostalCode": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "exchange": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "companyProfile": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "fax": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "totalEmployees": {"type": "object", "properties": {"value": {"type": "integer"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "sector": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["companyProfile", "exchange", "fax", "fiscalYearEndDate", "headquarterAddress1", "headquarterCity", "headquarterCountry", "headquarterPostalCode", "headquarterState", "industry", "phone", "reportDate", "sector", "stockStarRating", "stockType", "ticker", "totalEmployees", "universe", "website"]}}, "required": ["0P0000OQN8"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/1ffe61c9-8037-42fe-8ea6-9081c3bcf369/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
stock/v2/get-trading-information
Get Trading Information in the Quote tab
200
Response
{"0P0000OQN8": {"ticker": {"value": "TSLA", "filtered": false}, "website": {"value": "https://www.tesla.com", "filtered": false}, "headquarterCountry": {"value": "United States", "filtered": false}, "stockType": {"value": "Cyclical", "filtered": false}, "headquarterAddress1": {"value": "3500 Deer Creek Road", "filtered": false}, "industry": {"value": "Auto Manufacturers", "filtered": false}, "stockStarRating": {"value": "0", "filtered": true, "date": {"value": "2022-02-17", "filtered": false}, "text": {"value": "Overvalued", "filtered": false}, "type": {"value": "Qual", "filtered": false}}, "fiscalYearEndDate": {"value": "2021-12-31", "filtered": false}, "headquarterCity": {"value": "Palo Alto", "filtered": false}, "headquarterState": {"value": "CA", "filtered": false}, "reportDate": {"value": "2021-12-31", "filtered": false}, "phone": {"value": "+1 650 681-5000", "filtered": false}, "universe": {"value": "EQ", "filtered": false}, "headquarterPostalCode": {"value": "94304", "filtered": false}, "exchange": {"value": "XNAS", "filtered": false}, "companyProfile": {"value": "Founded in 2003 and based in Palo Alto, California, Tesla is a vertically integrated sustainable energy company that also aims to transition the world to electric mobility by making electric vehicles. The company sells solar panels and solar roofs for energy generation plus batteries for stationary storage for residential and commercial properties including utilities. Tesla has multiple vehicles in its fleet, which include luxury and midsize sedans and crossover SUVs. The company also plans to begin selling more affordable sedans and small SUVs, a light truck, a semi truck, and a sports car. Global deliveries in 2021 were a little over 936,000 units.", "filtered": false}, "fax": {"value": "+1 650 681-5101", "filtered": false}, "totalEmployees": {"value": 99290, "filtered": false}, "sector": {"value": "Consumer Cyclical", "filtered": false}}}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"0P0000OQN8": {"type": "object", "properties": {"ticker": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "website": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterCountry": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "stockType": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterAddress1": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "industry": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "stockStarRating": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}, "date": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "text": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "type": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["date", "filtered", "text", "type", "value"]}, "fiscalYearEndDate": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterCity": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterState": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "reportDate": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "phone": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "universe": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "headquarterPostalCode": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "exchange": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "companyProfile": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "fax": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "totalEmployees": {"type": "object", "properties": {"value": {"type": "integer"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "sector": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["companyProfile", "exchange", "fax", "fiscalYearEndDate", "headquarterAddress1", "headquarterCity", "headquarterCountry", "headquarterPostalCode", "headquarterState", "industry", "phone", "reportDate", "sector", "stockStarRating", "stockType", "ticker", "totalEmployees", "universe", "website"]}}, "required": ["0P0000OQN8"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/14fcdd47-d21e-441a-a4d9-7d7ed3cfb695/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
news/get-details
Get news details
200
Response
{"id": "20220217655", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Crypto winter offers entry points for Wall Street firms? Here are key factors shaping institutional adoption", "publishedDate": "2022-02-17T14:11:00-06:00", "body": [{"type": "p", "contentObject": [{"type": "text", "content": "\n By Frances Yue ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Bitcoin is likely to outperform ether by 33% over the next three months, an artificial-intelligence-driven screening platform said ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Hello! Welcome back to Distributed Ledger, our weekly crypto newsletter that reaches your inbox every Thursday. I'm Frances Yue, crypto reporter at MarketWatch, and I'll walk you through the latest and greatest in digital assets this week so far. Find me on Twitter at @FrancesYue_ to send feedback or tell us what you think we should cover. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Subscribe here to the DL newsletter! ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Crypto in a snap ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Bitcoin recorded a 2.2% loss over the past seven days, recently trading at around $41,160. Ether is trading around about $2,895, down 2.3% over the past seven trading sessions. Meme token Dogecoin lost 4.7% over the seven-day stretch, while another dog-themed token Shiba Inu is trading 2.3% lower from seven days ago. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Crypto Metrics ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "pre", "contentObject": [{"type": "text", "content": "\nBiggest Gainers Price % 7-day return \n $25.77 19.3% \nJuno $31.09 6.4% \nTheta Network $3.64 5.9% \nCelsius Network $3.42 3.8% \nKlaytn $1.27 2.7% \n Source: CoinGecko as of Feb. 17 \nBiggest Decliners Price % 7-day return \nKadena $7.71 -22.5% \nArweave $31.63 -22.4% \nOasis Network $0.3 -20.4% \nRadix $0.17 -18.9% \nHarmony $0.18 -18.5% \n Source: CoinGecko as of Feb. 17 ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Institutional interests ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n After hitting an all-time high in November, bitcoin went through a three-month downward trend, hitting a low of $32,983 on Jan. 24, down more than 50% from its record high, according to CoinDesk data. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The crypto is recently trading at around $41,160, down about 40% from the all-time high. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n However, the volatility and January selloffs have not deterred institutional interests in the space, according to Justin Chapman, global head of market advocacy and innovation research at financial service firm Northern Trust. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"We're not getting any dampening of attitude or sentiment from clients towards cryptocurrency,\" Chapman told MarketWatch in an interview. \"When we speak to clients, their expectation is this is going to pick up.\" ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Carlos Betancourt, founding principal of BKCoin Capital echoed the point. \"I think this has allowed them to feel a little bit more comfortable in finding a good entry point.\" ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Still, bitcoin's spot trading volume stays relatively low compared to historical levels. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The regulatory landscape could have a major impact on institutional attitudes, according to Chapman. \"The chances of the regulation changing in the next 24 months in every jurisdiction is quite high,\" Chapman said. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"For large institutional providers, they're looking to launch things like spot bitcoin ETFs and the capabilities to deliver wrapped vehicles for classical investing,\" Chapman said. The U.S. regulators have not approved any spot bitcoin exchange traded funds, while such products are offered in countries such as Canada, Germany and Switzerland. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Financial institutions have also demonstrated demands for technologies that could secure them the best price for cryptocurrencies across different exchanges. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"I think some of the challenges around crypto trading has been the proliferation of marketplaces and exchanges,\" said Chapman. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"In traditional exchanges you know where to go for a certain asset class and certain environment.\" However, in crypto, \"you have to be able to go out to lots of different providers to get the best price for the right things,\" according to Chapman. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n SEC's Binance probe ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The Securities and Exchange Commission is reportedly investigating the relationship between the U.S. arm of Binance, the world's largest crypto exchange, and two trading firms with ties to Binance's founder Changpeng Zhao, the Wall Street Journal reported Tuesday citing people familiar with the matter. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The two trading firms Sigma Chain AG and Merit Peak Ltd. act as market makers that trade crypto on Binance.US. The regulator is in part focusing on how Binance.US disclosed to customers its connections with the trading firms, according to the Wall Street Journal. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n A Binance spokesperson wrote in an email to MarketWatch that \"market-making activities are standard in both traditional finance and crypto.\" ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"They ensure liquidity and directly support a healthy, vibrant, and efficient marketplace to the benefit of end-users,\" the spokesperson wrote. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The case has attracted attention across the crypto world, as the SEC will need to establish jurisdiction over some cryptocurrencies that Binance.US offered in order to bring any enforcement measures against the exchange. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n It leads to the long-existing debate -- the SEC said most crypto are securities, while crypto companies said the regulator hasn't proven which tokens are securities. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"My interest is where the jurisdiction lies, or what jurisdiction they [the SEC] would assert for that. And which of the cryptocurrencies would they be asserting qualify as securities?,\" Christopher W. Gerold, partner at law firm Lowenstein Sandler and former chief of the New Jersey Bureau of Securities, told MarketWatch in a phone interview. Gerold is not involved in the case. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"Certainly, if there were securities being traded and they're being manipulated through undisclosed affiliates. That is actionable as a fraud,\" Gerold said. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The reported investigation adds to Binance's pressure as the exchange faces regulatory headwinds across the world. Regulatory bodies in different countries and regions, such as Japan, the United Kingdom, the Canadian province of Ontario and Hong Kong, published warnings against the crypto exchange last year. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Bitcoin outperforming ether? ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Bitcoin is likely to outperform Ether by 33% over the next three months, according to the analysis by artificial-intelligence-driven screening platform Toggle. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n The platform examined the ratio of bitcoin's price to that of ether, which in November reached the lowest level since 2018, while Toggle expected to see an upward trend in the near term. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"This is simply saying, if you are looking to get into cryptocurrencies and you don't know which one to buy, maybe actually your bet here should be on Bitcoin outperforming relative to ether,\" Jan Szilagyi, Toggle's co-founder and chief executive, told MarketWatch in an interview. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n \"You may as well consider buying both but if you only are going to buy a one or if you are even trading cross, the system has highlighted that the odds seem to be skewed in favor of Bitcoin outperforming ether,\" Szilagyi said. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n However, Szilagyi noted that the analysis is primarily based on past price data. As digital asset is a rather nascent industry, \"we're still coming to terms with what are the actual drivers of a lot of price action of cryptocurrencies,\" Szilagyi said. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Crypto companies, funds ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Shares of Coinbase Global Inc. (COIN) traded down 8.3% to $190.57 Thursday afternoon. It was down 6.7% for the past five trading sessions. Michael Saylor's MicroStrategy Inc. (MSTR) traded 6.3% lower on Thursday to $408.19, and has lost 5.6% over the past five days. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Mining company Riot Blockchain Inc. (RIOT) shares fell 8.7% to $17.9, with a 7.2% loss over the past five days. Shares of Marathon Digital Holdings Inc. (MARA) plunged 8.8% to $25.9, and are down 10% over the past five days. Another miner, Ebang International Holdings Inc. (EBON), traded 9.4% lower at $1.4, with a 11.2% loss over the past five days. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Overstock.com Inc. (OSTK) plummeted 9.4% to $41.19. The shares went down 17.4% over the five-session period. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Block Inc. (SQ)' s shares are down 3% to $105.73, with a 2.9% loss for the week. Tesla Inc. (TSLA)'s shares traded down 4.6% to $881.4, while its shares logged a 2.6% loss for the past five sessions. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n PayPal Holdings Inc. (PYPL) lost 3.7% to $106.4, while it recorded a 10.6% loss over the five-session stretch. NVIDIA Corp. (NVDA) lost 7.5% to $245.4, and was looking at a 5% loss over the past five days. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Advanced Micro Devices Inc. (AMD) went down 2.2% to $115.13 and lost 8.5% over the past five trading days, as of Thursday afternoon. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n In the fund space, ProShares Bitcoin Strategy ETF (BITO) was 6.5% lower at $25.93 Thursday, while Valkyrie Bitcoin Strategy ETF (BTF) was down 6.7% at $16.05. VanEck Bitcoin Strategy ETF (XBTF) fell 7% to $40.29. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Grayscale Bitcoin Trust (GBTC) was trading at $28.59, off 8% Thursday afternoon. ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n -Frances Yue ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n Must Reads ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "pre", "contentObject": [{"type": "text", "content": "\n ", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n (END) Dow Jones Newswires", "gated": false}], "gated": false}, {"type": "text", "content": "\n", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "\n 02-17-22 1511ET", "gated": false}], "gated": false}, {"type": "text", "content": "\n\nCopyright (c) 2022 Dow Jones & Company, Inc.", "gated": false}]}
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f45cbbf7-aa21-4266-878e-08d9bba00370/f2c1dd20-9448-4496-8eb0-8b7279b747c7/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
news/list
List latest news
200
Response
[{"id": "20220217655", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Crypto winter offers entry points for Wall Street firms? Here are key factors shaping institutional adoption", "publishedDate": "2022-02-17T14:11:00-06:00"}, {"id": "20220217628", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Tesla's Elon Musk to SEC: Stop trying to 'muzzle and harass'", "publishedDate": "2022-02-17T13:11:00-06:00"}, {"id": "20220217561", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Tesla dips below $900 after NHTSA 'phantom braking' news", "publishedDate": "2022-02-17T10:33:00-06:00"}, {"id": "20220217522", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Biden nears reinstatement of waiver for California and other states to set own vehicle emissions standards", "publishedDate": "2022-02-17T09:26:00-06:00"}, {"id": "20220217509", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "These 17 small-cap stock ideas have momentum and valuation on their side, says Jefferies", "publishedDate": "2022-02-17T09:02:00-06:00"}, {"id": "20220217cg65994", "sourceId": "pr-newswire", "sourceName": "PR Newswire", "providerName": "PR Newswire", "title": "Thinking about trading options or stock in TriNet, Hasbro, SYSCO, HCA Healthcare, or Tesla?", "publishedDate": "2022-02-17T08:31:00-06:00"}, {"id": "20220217478", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Tesla lawyers say SEC investigations of Elon Musk constitute harassment \u2014 WSJ", "publishedDate": "2022-02-17T08:16:00-06:00"}, {"id": "20220217368", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "These 17 small-cap stock ideas have momentum and valuation on their side, says Jefferies", "publishedDate": "2022-02-17T06:54:00-06:00"}, {"id": "20220217344", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "These 17 small-cap stock ideas have momentum and valuation on their side, says Jefferies", "publishedDate": "2022-02-17T06:21:00-06:00"}, {"id": "20220217336", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "These 17 small-cap stock ideas have momentum and valuation on their side, says Jefferies", "publishedDate": "2022-02-17T06:16:00-06:00"}, {"id": "2022021616286", "sourceId": "dow-jones", "sourceName": "Global News Select", "providerName": "Dow Jones", "title": "Chinese Lithium Suppliers Soar as Lithium Price Rally Continues", "publishedDate": "2022-02-16T22:26:00-06:00"}, {"id": "20220216540", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "The future is now? Even DeLorean will have an EV offering this year", "publishedDate": "2022-02-16T10:17:00-06:00"}, {"id": "20220216cg64377", "sourceId": "pr-newswire", "sourceName": "PR Newswire", "providerName": "PR Newswire", "title": "Thinking about trading options or stock in Airbnb, Generac, Advanced Micro Devices, Nike, or Tesla?", "publishedDate": "2022-02-16T08:31:00-06:00"}, {"id": "20220215953", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Elon Musk gave 5 million Tesla shares to charity, but World Food Program has not received anything yet", "publishedDate": "2022-02-15T17:10:00-06:00"}, {"id": "20220215308", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Biden and 'Buy Clean' task force will tap infrastructure funds to cut emissions from steel, aluminum and concrete", "publishedDate": "2022-02-15T12:09:00-06:00"}, {"id": "20220215258", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "This is what you're getting wrong about ESG ratings", "publishedDate": "2022-02-15T09:29:00-06:00"}, {"id": "20220214875", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Flurry of EV commercials during Super Bowl led to huge jump in searches for this particular SUV (hint: even electric puppies sell)", "publishedDate": "2022-02-14T20:34:00-06:00"}, {"id": "20220214173", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Goldman Sachs sees three paths for the S&P 500 \u2014and one would leave stocks nearly 20% lower", "publishedDate": "2022-02-14T08:57:00-06:00"}, {"id": "20220214cg61290", "sourceId": "pr-newswire", "sourceName": "PR Newswire", "providerName": "PR Newswire", "title": "Thinking about trading options or stock in Micron Technology, Comerica, Tesla, Northrop Grumman, or Exxon Mobil Corp?", "publishedDate": "2022-02-14T08:31:00-06:00"}, {"id": "2022021460", "sourceId": "marketwatch", "sourceName": "MarketWatch", "providerName": "Dow Jones", "title": "Nio stock falls after downbeat China auto sales data, Tesla shares also take a hit", "publishedDate": "2022-02-14T05:37:00-06:00"}]
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f45cbbf7-aa21-4266-878e-08d9bba00370/c6f8c72c-ad4c-46eb-b7fc-55e9e8bc0f57/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
articles/get-details
Get articles details
200
Response
{"id": 981538, "title": "Tesla Posts a 1Q Profit for the First Time", "deck": "We are increasing our fair value estimate to $731 from $239. If a recession can\u2019t stop Tesla then virtually nothing will, and we expect the company to remain a leader in autonomous technology and range. ", "locale": "en-US", "publishedDate": "2020-04-30", "updatedDate": "2020-04-30", "paywalled": false, "articleType": "evergreen", "authors": [{"holdings": ["AMZN", "BP", "DIS", "EXPR", "GOOG", "GOOGL", "IPI", "MELI", "MOAT", "PTLO", "PLTR", "AAPL", "AMAT", "ECPN", "FB", "GLW", "JNJ", "MSFT", "SYK", "JMIA"], "id": "766", "name": "David Whiston", "jobTitle": "Sector Strategist", "byLine": "David Whiston, CFA, CPA, CFE", "shortBio": "David Whiston, CFA, CPA, CFE, is an industrials strategist for Morningstar.", "isPrimary": true}], "authorDisclosure": [], "body": [{"type": "p", "contentObject": [{"type": "text", "content": "Tesla ", "gated": false}, {"type": "security", "id": "0P0000OQN8", "contentObject": [{"type": "text", "content": "TSLA", "gated": false}], "gated": false}, {"type": "text", "content": " reported a record first quarter, and we calculate adjusted diluted EPS of $1.14 compared with first-quarter 2019 EPS of negative $2.90. We expect large upward stock moves for Tesla in May as results crushed the Refinitiv EPS consensus of a loss of $0.36. We also expect second quarter will suffer from the firm\u2019s main plant in California being shutdown since late March, but once COVID-19 restrictions are lifted, we expect Tesla to fill a large number of orders which are still coming in online. We understand given COVID-19 uncertainty that management cannot give 2020 delivery guidance, but we like that Tesla continues to invest without slowing as evidenced by the Shanghai Model Y plant and Gigafactory Berlin both due to start production next year.", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}, {"type": "p", "contentObject": [{"type": "text", "content": "We regret nearly halving our fair value estimate on March 18, partly based on a higher weighted average cost of capital due to Tesla\u2019s 2025 bond yield exceeding 10%, because, in hindsight, that is the same time the bond yield peaked. Even a pandemic causes no fear for the market with this stock, and we're lowering our WACC to about 8.8% from 12%. We're also raising our midcycle operating margin back to 11% and raising deliveries over our 10-year forecast period because we think Tesla will continue to provide formidable competition to premium automakers and have a million units of capacity by the end of 2021. These changes mean we are increasing our fair value estimate to about $731 from $239. If a recession can\u2019t stop Tesla then virtually nothing will, and we expect the company to remain a leader in autonomous technology and range. Tesla is also gaining scale and its ability to make desirable vehicles while generating free cash flow and net profit is far better than it\u2019s ever been. For the quarter, free cash flow was negative $895 million but this was mostly for inventory increases which we expect will become a free cash flow benefit once vehicles being held at the end of first quarter get delivered next quarter.", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}, {"type": "table", "contentObject": [{"type": "text", "content": " ", "gated": false}, {"type": "tbody", "contentObject": [{"type": "text", "content": " ", "gated": false}, {"type": "tr", "contentObject": [{"type": "text", "content": " ", "gated": false}, {"type": "td", "contentObject": [{"type": "span", "contentObject": [{"type": "text", "content": " ", "gated": false}, {"type": "em", "contentObject": [{"type": "text", "content": "Morningstar Premium Members gain exclusive access to our full analyst reports, including fair value estimates, bull and bear breakdowns, and risk analyses. Not a Premium Member? Get this and other reports immediately when you ", "gated": false}, {"type": "a", "href": "http://members.morningstar.com/mk/templates/mkpremium1.html?referid=a3221&vurl=", "contentObject": [{"type": "text", "content": "try Morningstar Premium free for 14 days", "gated": false}], "gated": false}, {"type": "text", "content": ".", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}], "gated": false}, {"type": "text", "content": " ", "gated": false}], "gated": false}], "collection": {"name": "Stock Analyst Update", "id": 181}, "relatedArticles": [{"id": 981526, "title": "Facebook\u2019s Strong Q1 Encouraging; COVID-19 Risks Remain", "publishDate": "2020-04-30"}, {"id": 981555, "title": "Boeing's 2020 to be Marred: MAX Grounding and COVID-19", "publishDate": "2020-04-30"}, {"id": 981580, "title": "Shaky Short Term for GE, but Long-Term Outlook Remains", "publishDate": "2020-04-30"}], "tags": [], "securities": [{"shareClassId": "0P0000OQN8", "secId": "0P0000OQN8", "name": "Tesla Inc", "ticker": "TSLA", "country": "USA", "exchange": "NAS", "currency": "USD", "securityType": "E0", "category": "Auto Manufacturers", "parentId": "0C00004EP4"}], "keywords": [{"id": 77, "name": "EQUITYRESEARCH", "isPrimary": true}]}
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f45cbbf7-aa21-4266-878e-08d9bba00370/f350eb2f-224e-40ca-8eb6-7d43e188b2c1/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/get-summary
Get live summary information at the request time
200
Response
{"MarketRegions": {"USA": [{"PerformanceId": "0P00001GJH", "RegionAndTicker": "USA:MSTAR", "Currency": "USD", "Exchange": "SPI", "ExchangeShortName": "SPI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "Morningstar US Market", "StarRating": null, "Type": "XI", "Price": 10855.55, "PriceChange": -250.97, "PercentChange": -2.2597, "OpenPrice": 11034.39, "Volume": null, "DayHigh": 11034.39, "DayLow": 10840.7, "ActivityTimeUTC": "2022-02-17T23:01:02Z", "ExchangeActivityTimeLabel": "02/17/2022 06:01 PM EST", "AverageVolume": 169.5566, "InceptionDate": "2002-07-03", "YesterdayPrice": 11106.52}, {"PerformanceId": "0P00001FJG", "RegionAndTicker": "USA:!DJI", "Currency": "USD", "Exchange": "DJI", "ExchangeShortName": "DJI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "DJ Industrial Average", "StarRating": null, "Type": "XI", "Price": 34312.03, "PriceChange": -622.24, "PercentChange": -1.7812, "OpenPrice": 34858.47, "Volume": 351844359, "DayHigh": 34858.47, "DayLow": 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"Type": "XI", "Price": 13716.719, "PriceChange": -407.376, "PercentChange": -2.8843, "OpenPrice": 14004.19, "Volume": null, "DayHigh": 14020.822, "DayLow": 13704.7, "ActivityTimeUTC": "2022-02-17T22:16:25Z", "ExchangeActivityTimeLabel": "02/17/2022 05:16 PM EST", "AverageVolume": 0, "InceptionDate": "1971-02-05", "YesterdayPrice": 14124.095}], "Europe": [{"PerformanceId": "0P00001FKQ", "RegionAndTicker": null, "Currency": "GBP", "Exchange": null, "ExchangeShortName": null, "ExchangeTimeZoneOffsetFromUTCInSeconds": 0, "Name": "FTSE 100", "StarRating": null, "Type": "XI", "Price": 7537.37, "PriceChange": -66.41, "PercentChange": -0.8734, "OpenPrice": 7603.78, "Volume": null, "DayHigh": 7607.24, "DayLow": 7503.15, "ActivityTimeUTC": "2022-02-17T16:35:30Z", "ExchangeActivityTimeLabel": "02/17/2022 11:35 AM EST", "AverageVolume": null, "InceptionDate": "1984-01-03", "YesterdayPrice": 7603.78}, {"PerformanceId": "0P00008ICX", "RegionAndTicker": "NLD:PX1", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext Paris CAC 40", "StarRating": null, "Type": "XI", "Price": 6946.82, "PriceChange": -18.16, "PercentChange": -0.2607, "OpenPrice": 6999.13, "Volume": null, "DayHigh": 7017.07, "DayLow": 6905.69, "ActivityTimeUTC": "2022-02-17T17:05:02Z", "ExchangeActivityTimeLabel": "02/17/2022 12:05 PM EST", "AverageVolume": 0, "InceptionDate": "1987-08-31", "YesterdayPrice": 6964.98}, {"PerformanceId": "0P00001FKV", "RegionAndTicker": "DEU:DAX", "Currency": "EUR", "Exchange": "XETR", "ExchangeShortName": "XETR", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "FSE DAX", "StarRating": null, "Type": "XI", "Price": 15267.63, "PriceChange": -102.67, "PercentChange": -0.668, "OpenPrice": 15404.14, "Volume": null, "DayHigh": 15440.08, "DayLow": 15206.4, "ActivityTimeUTC": "2022-02-17T16:55:00Z", "ExchangeActivityTimeLabel": "02/17/2022 11:55 AM EST", "AverageVolume": null, "InceptionDate": "1988-06-30", "YesterdayPrice": 15370.3}, {"PerformanceId": "0P00006F1A", "RegionAndTicker": "NLD:AEX", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext AEX", "StarRating": null, "Type": "XI", "Price": 751.2, "PriceChange": -7.72, "PercentChange": -1.0172, "OpenPrice": 759.48, "Volume": null, "DayHigh": 760.76, "DayLow": 748.23, "ActivityTimeUTC": "2022-02-17T17:00:00Z", "ExchangeActivityTimeLabel": "02/17/2022 12:00 PM EST", "AverageVolume": 0, "InceptionDate": "1982-12-31", "YesterdayPrice": 758.92}], "Asia": [{"PerformanceId": "0P00006MR4", "RegionAndTicker": "JPN:100000018", "Currency": "JPY", "Exchange": "XOSE", "ExchangeShortName": "XOSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": 32400, "Name": "Nikkei 225 Average", "StarRating": null, "Type": "XI", "Price": 27122.07, "PriceChange": -110.8, "PercentChange": -0.4069, "OpenPrice": 26895.16, "Volume": null, "DayHigh": 27216.16, "DayLow": 26792.54, "ActivityTimeUTC": "2022-02-18T06:00:01Z", "ExchangeActivityTimeLabel": "02/18/2022 01:00 AM EST", "AverageVolume": null, "InceptionDate": "1950-09-07", "YesterdayPrice": 27232.87}, {"PerformanceId": "0P00001FL8", "RegionAndTicker": "HKG:HSI", "Currency": "HKD", "Exchange": "XHKG", "ExchangeShortName": "XHKG", "ExchangeTimeZoneOffsetFromUTCInSeconds": 28800, "Name": "Hang Seng HSI", "StarRating": null, "Type": "XI", "Price": 24532.51, "PriceChange": -260.26, "PercentChange": -1.0497, "OpenPrice": 24633.66, "Volume": null, "DayHigh": 24763.37, "DayLow": 24497.96, "ActivityTimeUTC": "2022-02-18T07:11:10Z", "ExchangeActivityTimeLabel": "02/18/2022 02:11 AM EST", "AverageVolume": null, "InceptionDate": "1985-01-31", "YesterdayPrice": 24792.77}, {"PerformanceId": "0P00001G5J", "RegionAndTicker": "IND:1", "Currency": "INR", "Exchange": "XBOM", "ExchangeShortName": "XBOM", "ExchangeTimeZoneOffsetFromUTCInSeconds": 19800, "Name": "BSE SENSEX India", "StarRating": null, "Type": "XI", "Price": 58072.7, "PriceChange": 180.69, "PercentChange": 0.3121, "OpenPrice": 57760.9, "Volume": null, "DayHigh": 58085.64, "DayLow": 57663.42, "ActivityTimeUTC": "2022-02-18T07:11:11Z", "ExchangeActivityTimeLabel": "02/18/2022 02:11 AM EST", "AverageVolume": null, "InceptionDate": "1979-04-03", "YesterdayPrice": 57892.01}, {"PerformanceId": "0P00006NNM", "RegionAndTicker": "CHN:000001", "Currency": "CNY", "Exchange": "XSHG", "ExchangeShortName": "XSHG", "ExchangeTimeZoneOffsetFromUTCInSeconds": 28800, "Name": "Shanghai SE Composite", "StarRating": null, "Type": "XI", "Price": 3490.7573, "PriceChange": 22.7219, "PercentChange": 0.6552, "OpenPrice": 3451.6318, "Volume": 295149963, "DayHigh": 3490.7573, "DayLow": 3447.0273, "ActivityTimeUTC": "2022-02-18T07:00:08Z", "ExchangeActivityTimeLabel": "02/18/2022 02:00 AM EST", "AverageVolume": null, "InceptionDate": "1990-12-19", "YesterdayPrice": 3468.0354}], "CAN": [{"PerformanceId": "0P00008IVF", "RegionAndTicker": "CAN:0000", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Composite", "StarRating": null, "Type": "XI", "Price": 21176.33, "PriceChange": -207.31, "PercentChange": -0.9695, "OpenPrice": 21358.47, "Volume": 254383557, "DayHigh": 21395.07, "DayLow": 21160.09, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 217.6816, "InceptionDate": "1960-01-29", "YesterdayPrice": 21383.64}, {"PerformanceId": "0P00008PAC", "RegionAndTicker": "CAN:TX60", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX 60", "StarRating": null, "Type": "XI", "Price": 1281.53, "PriceChange": -12.84, "PercentChange": -0.992, "OpenPrice": 1292.79, "Volume": 118296252, "DayHigh": 1295.06, "DayLow": 1280.76, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 96.2463, "InceptionDate": "1982-02-26", "YesterdayPrice": 1294.37}, {"PerformanceId": "0P00008IVE", "RegionAndTicker": "CAN:TX20", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Small Cap", "StarRating": null, "Type": "XI", "Price": 796.6, "PriceChange": -6.58, "PercentChange": -0.8192, "OpenPrice": 802.52, "Volume": 82691966, "DayHigh": 804.84, "DayLow": 795.51, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 98.7047, "InceptionDate": "1999-05-17", "YesterdayPrice": 803.18}, {"PerformanceId": "0P00001QO6", "RegionAndTicker": "CAN:JX", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Venture", "StarRating": null, "Type": "XI", "Price": 859.53, "PriceChange": -10.53, "PercentChange": -1.2103, "OpenPrice": 869.39, "Volume": 76586573, "DayHigh": 869.57, "DayLow": 858.66, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 179.2263, "InceptionDate": "2001-11-30", "YesterdayPrice": 870.06}]}, "Barometers": {"ThreeYears": [{"PercentChange": 11.54192, "Level": 2}, {"PercentChange": 19.32483, "Level": 2}, {"PercentChange": 18.27009, "Level": 2}, {"PercentChange": 11.70948, "Level": 2}, {"PercentChange": 15.18625, "Level": 2}, {"PercentChange": 17.77718, "Level": 2}, {"PercentChange": 11.06127, "Level": 2}, {"PercentChange": 10.06722, "Level": 2}, {"PercentChange": 8.30346, "Level": 1}], "OneYear": [{"PercentChange": 16.06737, "Level": 2}, {"PercentChange": 14.73543, "Level": 2}, {"PercentChange": -6.00776, "Level": -1}, {"PercentChange": 19.47328, "Level": 2}, {"PercentChange": 12.25202, "Level": 2}, {"PercentChange": -10.36895, "Level": -2}, {"PercentChange": 17.93407, "Level": 2}, {"PercentChange": 0.58198, "Level": 1}, {"PercentChange": -25.71572, "Level": -3}], "ThreeMonths": [{"PercentChange": 2.31498, "Level": 1}, {"PercentChange": -4.24089, "Level": -2}, {"PercentChange": -21.63228, "Level": -3}, {"PercentChange": 2.29831, "Level": 1}, {"PercentChange": -6.96274, "Level": -2}, {"PercentChange": -20.55577, "Level": -3}, {"PercentChange": -2.70328, "Level": -1}, {"PercentChange": -8.06689, "Level": -3}, {"PercentChange": -23.3544, "Level": -3}], "OneWeek": [{"PercentChange": -1.39568, "Level": -3}, {"PercentChange": -2.96506, "Level": -3}, {"PercentChange": -5.20815, "Level": -3}, {"PercentChange": -1.12276, "Level": -2}, {"PercentChange": -2.22547, "Level": -3}, {"PercentChange": -4.17736, "Level": -3}, {"PercentChange": -0.36411, "Level": -1}, {"PercentChange": -0.32669, "Level": -1}, {"PercentChange": -3.97501, "Level": -3}], "OneDay": [{"PercentChange": -0.9312, "Level": -2}, {"PercentChange": -2.1157, "Level": -3}, {"PercentChange": -3.986, "Level": -3}, {"PercentChange": -1.3663, "Level": -3}, {"PercentChange": -1.9982, "Level": -3}, {"PercentChange": -3.4773, "Level": -3}, {"PercentChange": -1.7778, "Level": -3}, {"PercentChange": -1.9708, "Level": -3}, {"PercentChange": -4.0044, "Level": -3}], "OneMonth": [{"PercentChange": -3.5673, "Level": -2}, {"PercentChange": -5.22106, "Level": -3}, {"PercentChange": -9.56627, "Level": -3}, {"PercentChange": -2.63338, "Level": -2}, {"PercentChange": -5.57509, "Level": -3}, {"PercentChange": -5.68958, "Level": -3}, {"PercentChange": -4.47644, "Level": -3}, {"PercentChange": -5.27817, "Level": -3}, {"PercentChange": -7.38525, "Level": -3}]}, "Timestamp": "2022-02-18T07:26:13Z"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"MarketRegions": {"type": "object", "properties": {"USA": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": ["integer", "null"]}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "number"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", 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{"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": ["integer", "null"]}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}, "Asia": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": ["integer", "null"]}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "null"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}, "CAN": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": "integer"}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "number"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}}, "required": ["Asia", "CAN", "Europe", "USA"]}, "Barometers": {"type": "object", "properties": {"ThreeYears": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneYear": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "ThreeMonths": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneWeek": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneDay": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneMonth": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}}, "required": ["OneDay", "OneMonth", "OneWeek", "OneYear", "ThreeMonths", "ThreeYears"]}, "Timestamp": {"type": "string"}}, "required": ["Barometers", "MarketRegions", "Timestamp"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/ae5477de-c32b-44c6-8bc8-57d26dc51470/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/auto-complete
Get auto complete suggestion by term or phrase
200
Response
[{"Name": "Nasdaq Inc", "Currency": "USD", "Exchange": "XNAS", "Type": "ST", "TypeName": "Stock", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C000008J5", "PerformanceId": "0P000003RU", "ShareClassId": "0P000003RU", "FundShareClassId": "0P000003RU", "InceptionDate": "2002-07-01", "Sector": "Financial Services", "Industry": "Financial Data & Stock Exchanges", "RegionAndTicker": "USA:NDAQ", "Instrument": "126.1.NDAQ"}, {"Name": "Fidelity\u00ae NASDAQ Composite Index\u00ae", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001YR0", "PerformanceId": "0P0000373N", "ShareClassId": "FOUSA04BCT", "FundShareClassId": "FOUSA04BCT", "InceptionDate": "2003-09-25", "RegionAndTicker": "USA:FNCMX", "Instrument": "52.8.FNCMX"}, {"Name": "USAA NASDAQ-100 Index", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000BSAL", "PerformanceId": "0P00002O5E", "ShareClassId": "FOUSA00AUC", "FundShareClassId": "FOUSA00AUC", "InceptionDate": "2000-10-27", "RegionAndTicker": "USA:USNQX", "Instrument": "52.8.USNQX"}, {"Name": "Rydex NASDAQ-100\u00ae Inv", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P00002PMU", "ShareClassId": "FOUSA00CFK", "FundShareClassId": "FOUSA00CFK", "InceptionDate": "1994-02-14", "RegionAndTicker": "USA:RYOCX", "Instrument": "52.8.RYOCX"}, {"Name": "Shelton Nasdaq-100 Index Direct", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000923T", "PerformanceId": "0P00002NVZ", "ShareClassId": "FOUSA008LY", "FundShareClassId": "FOUSA008LY", "InceptionDate": "2000-01-18", "RegionAndTicker": "USA:NASDX", "Instrument": "52.8.NASDX"}, {"Name": "VALIC Company I NASDAQ-100 Index", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001VXP", "PerformanceId": "0P00003BGC", "ShareClassId": "FOUSA05HHR", "FundShareClassId": "FOUSA05HHR", "InceptionDate": "2000-10-02", "RegionAndTicker": "USA:VCNIX", "Instrument": "52.8.VCNIX"}, {"Name": "Rydex NASDAQ-100\u00ae 2x Strategy H", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P00002TC1", "ShareClassId": "FOUSA00G4S", "FundShareClassId": "FOUSA00G4S", "InceptionDate": "2000-05-24", "RegionAndTicker": "USA:RYVYX", "Instrument": "52.8.RYVYX"}, {"Name": "Direxion Mthly NASDAQ-100 Bull 2X Inv", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001IA5", "PerformanceId": "0P000060M5", "ShareClassId": "FOUSA05ICL", "FundShareClassId": "FOUSA05ICL", "InceptionDate": "2006-05-01", "RegionAndTicker": "USA:DXQLX", "Instrument": "52.8.DXQLX"}, {"Name": "Rydex Monthly Rbl NASDAQ-100\u00ae 2x Strt H", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P000147UW", "ShareClassId": "F00000UE3L", "FundShareClassId": "F00000UE3L", "InceptionDate": "2014-11-28", "RegionAndTicker": "USA:RMQHX", "Instrument": "52.8.RMQHX"}, {"Name": "ProFunds UltraShort NASDAQ-100 Inv", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001K83", "PerformanceId": "0P00002WX9", "ShareClassId": "FOUSA00JO7", "FundShareClassId": "FOUSA00JO7", "InceptionDate": "1998-06-02", "RegionAndTicker": "USA:USPIX", "Instrument": "52.8.USPIX"}, {"Name": "Rydex NASDAQ-100\u00ae C", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P0000358I", "ShareClassId": "FOUSA02VDJ", "FundShareClassId": "FOUSA02VDJ", "InceptionDate": "2001-03-26", "RegionAndTicker": "USA:RYCOX", "Instrument": "52.8.RYCOX"}, {"Name": "ProFunds Short NASDAQ-100 Inv", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001K83", "PerformanceId": "0P000035LQ", "ShareClassId": "FOUSA02VQM", "FundShareClassId": "FOUSA02VQM", "InceptionDate": "2002-05-01", "RegionAndTicker": "USA:SOPIX", "Instrument": "52.8.SOPIX"}, {"Name": "Rydex NASDAQ-100\u00ae 2x Strategy A", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P0000387A", "ShareClassId": "FOUSA059JO", "FundShareClassId": "FOUSA059JO", "InceptionDate": "2004-09-01", "RegionAndTicker": "USA:RYVLX", "Instrument": "52.8.RYVLX"}, {"Name": "ProFunds NASDAQ-100 Inv", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C00001K83", "PerformanceId": "0P000032Q8", "ShareClassId": "FOUSA02SPB", "FundShareClassId": "FOUSA02SPB", "InceptionDate": "2000-08-07", "RegionAndTicker": "USA:OTPIX", "Instrument": "52.8.OTPIX"}, {"Name": "Rydex NASDAQ-100\u00ae A", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000232A", "PerformanceId": "0P000037OH", "ShareClassId": "FOUSA05760", "FundShareClassId": "FOUSA05760", "InceptionDate": "2004-03-31", "RegionAndTicker": "USA:RYATX", "Instrument": "52.8.RYATX"}, {"Name": "USAA Nasdaq 100 Index Institutional", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "CompanyId": "0C0000BSAL", "PerformanceId": "0P0001JTNX", "ShareClassId": "F000015503", "FundShareClassId": "F000015503", "InceptionDate": "2020-06-29", "RegionAndTicker": "USA:UINQX", "Instrument": "52.8.UINQX"}, {"Name": "USAA Nasdaq 100 Index R6", "Currency": "USD", "Exchange": "XNAS", "Type": "FO", "TypeName": "Open-End Fund", "ExchangeShortName": "NASDAQ", 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f45cbbf7-aa21-4266-878e-08d9bba00370/2b645289-f0b7-4b88-9783-62ca098444b5/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/v2/get-time-series
Query one or more entities data at once in time series manner
200
Response
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f45cbbf7-aa21-4266-878e-08d9bba00370/c2b2500f-95c7-4453-9bf1-18ea591665e9/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/v2/auto-complete
Get auto suggestion by word or phase
200
Response
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f45cbbf7-aa21-4266-878e-08d9bba00370/291b8ce3-09cb-4469-b2fa-711578337b85/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/get-videos
Get latest videos in the market
200
Response
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"object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}}, "required": ["OneDay", "OneMonth", "OneWeek", "OneYear", "ThreeMonths", "ThreeYears"]}, "Timestamp": {"type": "string"}}, "required": ["Barometers", "MarketRegions", "Timestamp"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/4553d69a-e471-42f3-8773-33284cdfc194/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/get-global-indices
Get information of global indices
200
Response
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"companyName": "Morningstar Belgium Index PR EUR", "marketStatus": "Open", "currency": "EUR", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 1124.4, "lastClosePrice": 1124.45, "lastPrice": 1124.35, "lastUpdateDate": "2022-02-18T01:26:18.000Z", "lastUpdateTime": "02:26:18.000", "priceReturn1Week": -1.1733169, "priceReturn1Month": -1.1411691, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:18.000", "isRunning": false}, {"symbol": "33.10.MSBRBRLP", "ticker": "MSBRBRLP", "exchange": 33, "securityType": 10, "netChange": 0, "netChangePer": 0, "companyName": "Morningstar Brazil Index PR BRL", "marketStatus": "Open", "currency": "BRL", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 12923.62, "lastClosePrice": 12909.88, "lastPrice": 12909.88, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -0.0117725, "priceReturn1Month": 1.103297, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSCACADP", "ticker": "MSCACADP", "exchange": 33, "securityType": 10, "netChange": -0.29, "netChangePer": -0.0079, "companyName": "Morningstar Canada Index PR CAD", "marketStatus": "Open", "currency": "CAD", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 3671.89, "lastClosePrice": 3669.28, "lastPrice": 3668.99, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.746291, "priceReturn1Month": -0.8230975, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSCLCLPP", "ticker": "MSCLCLPP", "exchange": 33, "securityType": 10, "netChange": 0, "netChangePer": 0, "companyName": "Morningstar Chile Index PR CLP", "marketStatus": "Open", "currency": "CLP", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 3573.03, "lastClosePrice": 3582.02, "lastPrice": 3582.02, "lastUpdateDate": "2022-02-18T01:26:19.000Z", 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"COP", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 7464.11, "lastClosePrice": 7496.84, "lastPrice": 7496.84, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": 1.6207893, "priceReturn1Month": 0.1723691, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSCZCZKP", "ticker": "MSCZCZKP", "exchange": 33, "securityType": 10, "netChange": -0.15, "netChangePer": -0.0048, "companyName": "Morningstar Czech Republic Index PR CZK", "marketStatus": "Open", "currency": "CZK", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 3122.53, "lastClosePrice": 3121.08, "lastPrice": 3120.93, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.2988615, "priceReturn1Month": 3.653012, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSDKDKKP", "ticker": "MSDKDKKP", "exchange": 33, "securityType": 10, "netChange": 0, "netChangePer": 0, "companyName": "Morningstar Denmark Index PR DKK", "marketStatus": "Open", "currency": "DKK", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 9057.52, "lastClosePrice": 9055.51, "lastPrice": 9055.51, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -2.0322697, "priceReturn1Month": -1.6092581, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSEGEGPP", "ticker": "MSEGEGPP", "exchange": 33, "securityType": 10, "netChange": 0.91, "netChangePer": 0.0037, "companyName": "Morningstar Egypt Index PR EGP", "marketStatus": "Open", "currency": "EGP", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 24932.11, "lastClosePrice": 24924.19, "lastPrice": 24925.1, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": 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"recentTradingDayOpenPrice": 2200.13, "lastClosePrice": 2200.23, "lastPrice": 2200.23, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -2.0487479, "priceReturn1Month": -1.9356765, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSDEEURP", "ticker": "MSDEEURP", "exchange": 33, "securityType": 10, "netChange": -0.14, "netChangePer": -0.0086, "companyName": "Morningstar Germany Index PR EUR", "marketStatus": "Open", "currency": "EUR", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 1623.8, "lastClosePrice": 1623.87, "lastPrice": 1623.73, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.3959899, "priceReturn1Month": -2.1246203, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSGREURP", "ticker": "MSGREURP", "exchange": 33, 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"realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSITEURP", "ticker": "MSITEURP", "exchange": 33, "securityType": 10, "netChange": 0, "netChangePer": 0, "companyName": "Morningstar Italy Index PR EUR", "marketStatus": "Open", "currency": "EUR", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 1049.69, "lastClosePrice": 1049.73, "lastPrice": 1049.73, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.6452885, "priceReturn1Month": -1.687661, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSJPJPYP", "ticker": "MSJPJPYP", "exchange": 33, "securityType": 10, "netChange": -5.91, "netChangePer": -0.3505, "companyName": "Morningstar Japan Index PR JPY", "marketStatus": "Open", "currency": "JPY", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 1685.95, "lastClosePrice": 1685.95, "lastPrice": 1680.04, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.963599, "priceReturn1Month": 0.8936078, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSKRKRWP", "ticker": "MSKRKRWP", "exchange": 33, "securityType": 10, "netChange": -24.57, "netChangePer": -0.2168, "companyName": "Morningstar Korea Index PR KRW", "marketStatus": "Open", "currency": "KRW", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 11335.27, "lastClosePrice": 11335.27, "lastPrice": 11310.7, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.0679798, "priceReturn1Month": 2.538835, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSMYMYRP", "ticker": "MSMYMYRP", "exchange": 33, "securityType": 10, "netChange": -6.84, "netChangePer": -0.1952, "companyName": "Morningstar Malaysia Index PR MYR", 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"33.10.MSNLEURP", "ticker": "MSNLEURP", "exchange": 33, "securityType": 10, "netChange": -0.17, "netChangePer": -0.0085, "companyName": "Morningstar Netherlands Index PR EUR", "marketStatus": "Open", "currency": "EUR", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 2004.08, "lastClosePrice": 2004.16, "lastPrice": 2003.99, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.8386639, "priceReturn1Month": -3.0077771, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSNZNZDP", "ticker": "MSNZNZDP", "exchange": 33, "securityType": 10, "netChange": -34.62, "netChangePer": -0.9765, "companyName": "Morningstar New Zealand Index PR NZD", "marketStatus": "Open", "currency": "NZD", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 3550.52, "lastClosePrice": 3545.48, "lastPrice": 3510.86, "lastUpdateDate": "2022-02-18T01:26:18.000Z", "lastUpdateTime": "02:26:18.000", "priceReturn1Week": -2.2118114, "priceReturn1Month": 0.8728681, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:18.000", "isRunning": false}, {"symbol": "33.10.MSNONOKP", "ticker": "MSNONOKP", "exchange": 33, "securityType": 10, "netChange": -0.11, "netChangePer": -0.0035, "companyName": "Morningstar Norway Index PR NOK", "marketStatus": "Open", "currency": "NOK", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 3112.79, "lastClosePrice": 3112.76, "lastPrice": 3112.65, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -0.7243187, "priceReturn1Month": 1.9584914, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSPEPENP", "ticker": "MSPEPENP", "exchange": 33, "securityType": 10, "netChange": -19.48, "netChangePer": -0.4353, "companyName": "Morningstar Peru Index PR PEN", "marketStatus": "Open", "currency": "PEN", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 4455.1, "lastClosePrice": 4474.58, "lastPrice": 4455.1, "lastUpdateDate": "2022-02-18T01:26:19.000Z", "lastUpdateTime": "02:26:19.000", "priceReturn1Week": -1.1750039, "priceReturn1Month": 3.499626, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:19.000", "isRunning": false}, {"symbol": "33.10.MSPHPHPP", "ticker": "MSPHPHPP", "exchange": 33, "securityType": 10, "netChange": -16.2, "netChangePer": -0.303, "companyName": "Morningstar Philippines Index PR PHP", "marketStatus": "Open", "currency": "PHP", "avgVolume": 0, "volume": 0, "recentTradingDayOpenPrice": 5350.94, "lastClosePrice": 5346.77, "lastPrice": 5330.57, "lastUpdateDate": "2022-02-18T01:26:18.000Z", "lastUpdateTime": "02:26:18.000", "priceReturn1Week": 0.1935992, "priceReturn1Month": 0.5881798, "realTimeLastUpdateDate": "18-02-2022", "realTimeLastUpdateTime": "02:26:18.000", "isRunning": true}, {"symbol": "33.10.MSPLPLNP", "ticker": "MSPLPLNP", 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false}]}
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f45cbbf7-aa21-4266-878e-08d9bba00370/87561a0d-360f-4d16-906d-6aeae5d22dba/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/get-commentaries
Get latest commentaries in the market
200
Response
{"MarketRegions": {"USA": [{"PerformanceId": "0P00001GJH", "RegionAndTicker": "USA:MSTAR", "Currency": "USD", "Exchange": "SPI", "ExchangeShortName": "SPI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "Morningstar US Market", "StarRating": null, "Type": "XI", "Price": 10855.55, "PriceChange": -250.97, "PercentChange": -2.2597, "OpenPrice": 11034.39, "Volume": null, "DayHigh": 11034.39, "DayLow": 10840.7, "ActivityTimeUTC": "2022-02-17T23:01:02Z", "ExchangeActivityTimeLabel": "02/17/2022 06:01 PM EST", "AverageVolume": 169.5566, "InceptionDate": "2002-07-03", "YesterdayPrice": 11106.52}, {"PerformanceId": "0P00001FJG", "RegionAndTicker": "USA:!DJI", "Currency": "USD", "Exchange": "DJI", "ExchangeShortName": "DJI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "DJ Industrial Average", "StarRating": null, "Type": "XI", "Price": 34312.03, "PriceChange": -622.24, "PercentChange": -1.7812, "OpenPrice": 34858.47, "Volume": 351844359, "DayHigh": 34858.47, "DayLow": 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"Type": "XI", "Price": 13716.719, "PriceChange": -407.376, "PercentChange": -2.8843, "OpenPrice": 14004.19, "Volume": null, "DayHigh": 14020.822, "DayLow": 13704.7, "ActivityTimeUTC": "2022-02-17T22:16:25Z", "ExchangeActivityTimeLabel": "02/17/2022 05:16 PM EST", "AverageVolume": 0, "InceptionDate": "1971-02-05", "YesterdayPrice": 14124.095}], "Europe": [{"PerformanceId": "0P00001FKQ", "RegionAndTicker": null, "Currency": "GBP", "Exchange": null, "ExchangeShortName": null, "ExchangeTimeZoneOffsetFromUTCInSeconds": 0, "Name": "FTSE 100", "StarRating": null, "Type": "XI", "Price": 7537.37, "PriceChange": -66.41, "PercentChange": -0.8734, "OpenPrice": 7603.78, "Volume": null, "DayHigh": 7607.24, "DayLow": 7503.15, "ActivityTimeUTC": "2022-02-17T16:35:30Z", "ExchangeActivityTimeLabel": "02/17/2022 11:35 AM EST", "AverageVolume": null, "InceptionDate": "1984-01-03", "YesterdayPrice": 7603.78}, {"PerformanceId": "0P00008ICX", "RegionAndTicker": "NLD:PX1", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext Paris CAC 40", "StarRating": null, "Type": "XI", "Price": 6946.82, "PriceChange": -18.16, "PercentChange": -0.2607, "OpenPrice": 6999.13, "Volume": null, "DayHigh": 7017.07, "DayLow": 6905.69, "ActivityTimeUTC": "2022-02-17T17:05:02Z", "ExchangeActivityTimeLabel": "02/17/2022 12:05 PM EST", "AverageVolume": 0, "InceptionDate": "1987-08-31", "YesterdayPrice": 6964.98}, {"PerformanceId": "0P00001FKV", "RegionAndTicker": "DEU:DAX", "Currency": "EUR", "Exchange": "XETR", "ExchangeShortName": "XETR", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "FSE DAX", "StarRating": null, "Type": "XI", "Price": 15267.63, "PriceChange": -102.67, "PercentChange": -0.668, "OpenPrice": 15404.14, "Volume": null, "DayHigh": 15440.08, "DayLow": 15206.4, "ActivityTimeUTC": "2022-02-17T16:55:00Z", "ExchangeActivityTimeLabel": "02/17/2022 11:55 AM EST", "AverageVolume": null, "InceptionDate": "1988-06-30", "YesterdayPrice": 15370.3}, {"PerformanceId": "0P00006F1A", "RegionAndTicker": "NLD:AEX", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext AEX", "StarRating": null, "Type": "XI", "Price": 751.2, "PriceChange": -7.72, "PercentChange": -1.0172, "OpenPrice": 759.48, "Volume": null, "DayHigh": 760.76, "DayLow": 748.23, "ActivityTimeUTC": "2022-02-17T17:00:00Z", "ExchangeActivityTimeLabel": "02/17/2022 12:00 PM EST", "AverageVolume": 0, "InceptionDate": "1982-12-31", "YesterdayPrice": 758.92}], "Asia": [{"PerformanceId": "0P00006MR4", "RegionAndTicker": "JPN:100000018", "Currency": "JPY", "Exchange": "XOSE", "ExchangeShortName": "XOSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": 32400, "Name": "Nikkei 225 Average", "StarRating": null, "Type": "XI", "Price": 27122.07, "PriceChange": -110.8, "PercentChange": -0.4069, "OpenPrice": 26895.16, "Volume": null, "DayHigh": 27216.16, "DayLow": 26792.54, "ActivityTimeUTC": "2022-02-18T06:00:01Z", "ExchangeActivityTimeLabel": "02/18/2022 01:00 AM EST", "AverageVolume": null, "InceptionDate": "1950-09-07", "YesterdayPrice": 27232.87}, {"PerformanceId": "0P00001FL8", "RegionAndTicker": "HKG:HSI", "Currency": "HKD", "Exchange": "XHKG", "ExchangeShortName": "XHKG", "ExchangeTimeZoneOffsetFromUTCInSeconds": 28800, "Name": "Hang Seng HSI", "StarRating": null, "Type": "XI", "Price": 24532.51, "PriceChange": -260.26, "PercentChange": -1.0497, "OpenPrice": 24633.66, "Volume": null, "DayHigh": 24763.37, "DayLow": 24497.96, "ActivityTimeUTC": "2022-02-18T07:11:10Z", "ExchangeActivityTimeLabel": "02/18/2022 02:11 AM EST", "AverageVolume": null, "InceptionDate": "1985-01-31", "YesterdayPrice": 24792.77}, {"PerformanceId": "0P00001G5J", "RegionAndTicker": "IND:1", "Currency": "INR", "Exchange": "XBOM", "ExchangeShortName": "XBOM", "ExchangeTimeZoneOffsetFromUTCInSeconds": 19800, "Name": "BSE SENSEX India", "StarRating": null, "Type": "XI", "Price": 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"Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Composite", "StarRating": null, "Type": "XI", "Price": 21176.33, "PriceChange": -207.31, "PercentChange": -0.9695, "OpenPrice": 21358.47, "Volume": 254383557, "DayHigh": 21395.07, "DayLow": 21160.09, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 217.6816, "InceptionDate": "1960-01-29", "YesterdayPrice": 21383.64}, {"PerformanceId": "0P00008PAC", "RegionAndTicker": "CAN:TX60", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX 60", "StarRating": null, "Type": "XI", "Price": 1281.53, "PriceChange": -12.84, "PercentChange": -0.992, "OpenPrice": 1292.79, "Volume": 118296252, "DayHigh": 1295.06, "DayLow": 1280.76, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 96.2463, "InceptionDate": "1982-02-26", "YesterdayPrice": 1294.37}, {"PerformanceId": "0P00008IVE", "RegionAndTicker": "CAN:TX20", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Small Cap", "StarRating": null, "Type": "XI", "Price": 796.6, "PriceChange": -6.58, "PercentChange": -0.8192, "OpenPrice": 802.52, "Volume": 82691966, "DayHigh": 804.84, "DayLow": 795.51, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 98.7047, "InceptionDate": "1999-05-17", "YesterdayPrice": 803.18}, {"PerformanceId": "0P00001QO6", "RegionAndTicker": "CAN:JX", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Venture", "StarRating": null, "Type": "XI", "Price": 859.53, "PriceChange": -10.53, "PercentChange": -1.2103, "OpenPrice": 869.39, "Volume": 76586573, "DayHigh": 869.57, "DayLow": 858.66, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 179.2263, "InceptionDate": "2001-11-30", "YesterdayPrice": 870.06}]}, "Barometers": {"ThreeYears": [{"PercentChange": 11.54192, "Level": 2}, {"PercentChange": 19.32483, "Level": 2}, {"PercentChange": 18.27009, "Level": 2}, {"PercentChange": 11.70948, "Level": 2}, {"PercentChange": 15.18625, "Level": 2}, {"PercentChange": 17.77718, "Level": 2}, {"PercentChange": 11.06127, "Level": 2}, {"PercentChange": 10.06722, "Level": 2}, {"PercentChange": 8.30346, "Level": 1}], "OneYear": [{"PercentChange": 16.06737, "Level": 2}, {"PercentChange": 14.73543, "Level": 2}, {"PercentChange": -6.00776, "Level": -1}, {"PercentChange": 19.47328, "Level": 2}, {"PercentChange": 12.25202, "Level": 2}, {"PercentChange": -10.36895, "Level": -2}, {"PercentChange": 17.93407, "Level": 2}, {"PercentChange": 0.58198, "Level": 1}, {"PercentChange": -25.71572, "Level": -3}], "ThreeMonths": [{"PercentChange": 2.31498, "Level": 1}, {"PercentChange": -4.24089, "Level": -2}, {"PercentChange": -21.63228, "Level": -3}, {"PercentChange": 2.29831, "Level": 1}, {"PercentChange": -6.96274, "Level": -2}, {"PercentChange": -20.55577, "Level": -3}, {"PercentChange": -2.70328, "Level": -1}, {"PercentChange": -8.06689, "Level": -3}, {"PercentChange": -23.3544, "Level": -3}], "OneWeek": [{"PercentChange": -1.39568, "Level": -3}, {"PercentChange": -2.96506, "Level": -3}, {"PercentChange": -5.20815, "Level": -3}, {"PercentChange": -1.12276, "Level": -2}, {"PercentChange": -2.22547, "Level": -3}, {"PercentChange": -4.17736, "Level": -3}, {"PercentChange": -0.36411, "Level": -1}, {"PercentChange": -0.32669, "Level": -1}, {"PercentChange": -3.97501, "Level": -3}], "OneDay": [{"PercentChange": -0.9312, "Level": -2}, {"PercentChange": -2.1157, "Level": -3}, {"PercentChange": -3.986, "Level": -3}, {"PercentChange": -1.3663, "Level": -3}, {"PercentChange": -1.9982, "Level": -3}, {"PercentChange": -3.4773, "Level": -3}, {"PercentChange": -1.7778, "Level": -3}, {"PercentChange": -1.9708, "Level": -3}, {"PercentChange": -4.0044, "Level": -3}], "OneMonth": [{"PercentChange": -3.5673, "Level": -2}, {"PercentChange": -5.22106, "Level": -3}, {"PercentChange": -9.56627, "Level": -3}, {"PercentChange": -2.63338, "Level": -2}, {"PercentChange": -5.57509, "Level": -3}, {"PercentChange": -5.68958, "Level": -3}, {"PercentChange": -4.47644, "Level": -3}, {"PercentChange": -5.27817, "Level": -3}, {"PercentChange": -7.38525, "Level": -3}]}, "Timestamp": "2022-02-18T07:26:13Z"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"MarketRegions": {"type": "object", "properties": {"USA": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": ["integer", "null"]}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "number"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", 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{"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": ["integer", "null"]}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}, "Asia": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": ["integer", "null"]}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "null"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}, "CAN": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": "integer"}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "number"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}}, "required": ["Asia", "CAN", "Europe", "USA"]}, "Barometers": {"type": "object", "properties": {"ThreeYears": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneYear": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "ThreeMonths": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneWeek": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneDay": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneMonth": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}}, "required": ["OneDay", "OneMonth", "OneWeek", "OneYear", "ThreeMonths", "ThreeYears"]}, "Timestamp": {"type": "string"}}, "required": ["Barometers", "MarketRegions", "Timestamp"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/55b9d74e-ea72-49ab-869f-e17eae8a462d/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/get-articles
Get latest articles in the market
200
Response
{"MarketRegions": {"USA": [{"PerformanceId": "0P00001GJH", "RegionAndTicker": "USA:MSTAR", "Currency": "USD", "Exchange": "SPI", "ExchangeShortName": "SPI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "Morningstar US Market", "StarRating": null, "Type": "XI", "Price": 10855.55, "PriceChange": -250.97, "PercentChange": -2.2597, "OpenPrice": 11034.39, "Volume": null, "DayHigh": 11034.39, "DayLow": 10840.7, "ActivityTimeUTC": "2022-02-17T23:01:02Z", "ExchangeActivityTimeLabel": "02/17/2022 06:01 PM EST", "AverageVolume": 169.5566, "InceptionDate": "2002-07-03", "YesterdayPrice": 11106.52}, {"PerformanceId": "0P00001FJG", "RegionAndTicker": "USA:!DJI", "Currency": "USD", "Exchange": "DJI", "ExchangeShortName": "DJI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "DJ Industrial Average", "StarRating": null, "Type": "XI", "Price": 34312.03, "PriceChange": -622.24, "PercentChange": -1.7812, "OpenPrice": 34858.47, "Volume": 351844359, "DayHigh": 34858.47, "DayLow": 34261.14, "ActivityTimeUTC": "2022-02-17T22:47:43Z", "ExchangeActivityTimeLabel": "02/17/2022 05:47 PM EST", "AverageVolume": 280.0713, "InceptionDate": "1900-01-02", "YesterdayPrice": 34934.27}, {"PerformanceId": "0P00001G7J", "RegionAndTicker": "USA:SPX", "Currency": "USD", "Exchange": "SPI", "ExchangeShortName": "SPI", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P 500", "StarRating": null, "Type": "XI", "Price": 4380.26, "PriceChange": -94.75, "PercentChange": -2.1173, "OpenPrice": 4456.06, "Volume": 2324909984, "DayHigh": 4456.06, "DayLow": 4373.81, "ActivityTimeUTC": "2022-02-17T22:47:42Z", "ExchangeActivityTimeLabel": "02/17/2022 05:47 PM EST", "AverageVolume": 2052.7675, "InceptionDate": "1928-01-03", "YesterdayPrice": 4475.01}, {"PerformanceId": "0P00001G7B", "RegionAndTicker": "USA:@CCO", "Currency": "USD", "Exchange": "XNAS", "ExchangeShortName": "NASDAQ", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "NASDAQ Composite", "StarRating": null, "Type": "XI", "Price": 13716.719, "PriceChange": -407.376, "PercentChange": -2.8843, "OpenPrice": 14004.19, "Volume": null, "DayHigh": 14020.822, "DayLow": 13704.7, "ActivityTimeUTC": "2022-02-17T22:16:25Z", "ExchangeActivityTimeLabel": "02/17/2022 05:16 PM EST", "AverageVolume": 0, "InceptionDate": "1971-02-05", "YesterdayPrice": 14124.095}], "Europe": [{"PerformanceId": "0P00001FKQ", "RegionAndTicker": null, "Currency": "GBP", "Exchange": null, "ExchangeShortName": null, "ExchangeTimeZoneOffsetFromUTCInSeconds": 0, "Name": "FTSE 100", "StarRating": null, "Type": "XI", "Price": 7537.37, "PriceChange": -66.41, "PercentChange": -0.8734, "OpenPrice": 7603.78, "Volume": null, "DayHigh": 7607.24, "DayLow": 7503.15, "ActivityTimeUTC": "2022-02-17T16:35:30Z", "ExchangeActivityTimeLabel": "02/17/2022 11:35 AM EST", "AverageVolume": null, "InceptionDate": "1984-01-03", "YesterdayPrice": 7603.78}, {"PerformanceId": "0P00008ICX", "RegionAndTicker": "NLD:PX1", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext Paris CAC 40", "StarRating": null, "Type": "XI", "Price": 6946.82, "PriceChange": -18.16, "PercentChange": -0.2607, "OpenPrice": 6999.13, "Volume": null, "DayHigh": 7017.07, "DayLow": 6905.69, "ActivityTimeUTC": "2022-02-17T17:05:02Z", "ExchangeActivityTimeLabel": "02/17/2022 12:05 PM EST", "AverageVolume": 0, "InceptionDate": "1987-08-31", "YesterdayPrice": 6964.98}, {"PerformanceId": "0P00001FKV", "RegionAndTicker": "DEU:DAX", "Currency": "EUR", "Exchange": "XETR", "ExchangeShortName": "XETR", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "FSE DAX", "StarRating": null, "Type": "XI", "Price": 15267.63, "PriceChange": -102.67, "PercentChange": -0.668, "OpenPrice": 15404.14, "Volume": null, "DayHigh": 15440.08, "DayLow": 15206.4, "ActivityTimeUTC": "2022-02-17T16:55:00Z", "ExchangeActivityTimeLabel": "02/17/2022 11:55 AM EST", "AverageVolume": null, "InceptionDate": "1988-06-30", "YesterdayPrice": 15370.3}, {"PerformanceId": "0P00006F1A", "RegionAndTicker": "NLD:AEX", "Currency": "EUR", "Exchange": "XAMS", "ExchangeShortName": "XAMS", "ExchangeTimeZoneOffsetFromUTCInSeconds": 3600, "Name": "Euronext AEX", "StarRating": null, "Type": "XI", "Price": 751.2, "PriceChange": -7.72, "PercentChange": -1.0172, "OpenPrice": 759.48, "Volume": null, "DayHigh": 760.76, "DayLow": 748.23, "ActivityTimeUTC": "2022-02-17T17:00:00Z", "ExchangeActivityTimeLabel": "02/17/2022 12:00 PM EST", "AverageVolume": 0, "InceptionDate": "1982-12-31", "YesterdayPrice": 758.92}], "Asia": [{"PerformanceId": "0P00006MR4", "RegionAndTicker": "JPN:100000018", "Currency": "JPY", "Exchange": "XOSE", "ExchangeShortName": "XOSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": 32400, "Name": "Nikkei 225 Average", "StarRating": null, "Type": "XI", "Price": 27122.07, "PriceChange": -110.8, "PercentChange": -0.4069, "OpenPrice": 26895.16, "Volume": null, "DayHigh": 27216.16, "DayLow": 26792.54, "ActivityTimeUTC": "2022-02-18T06:00:01Z", "ExchangeActivityTimeLabel": "02/18/2022 01:00 AM EST", "AverageVolume": null, "InceptionDate": "1950-09-07", "YesterdayPrice": 27232.87}, {"PerformanceId": "0P00001FL8", "RegionAndTicker": "HKG:HSI", "Currency": "HKD", "Exchange": "XHKG", "ExchangeShortName": "XHKG", "ExchangeTimeZoneOffsetFromUTCInSeconds": 28800, "Name": "Hang Seng HSI", "StarRating": null, "Type": "XI", "Price": 24532.51, "PriceChange": -260.26, "PercentChange": -1.0497, "OpenPrice": 24633.66, "Volume": null, "DayHigh": 24763.37, "DayLow": 24497.96, "ActivityTimeUTC": "2022-02-18T07:11:10Z", "ExchangeActivityTimeLabel": "02/18/2022 02:11 AM EST", "AverageVolume": null, "InceptionDate": "1985-01-31", "YesterdayPrice": 24792.77}, {"PerformanceId": "0P00001G5J", "RegionAndTicker": "IND:1", "Currency": "INR", "Exchange": "XBOM", "ExchangeShortName": "XBOM", "ExchangeTimeZoneOffsetFromUTCInSeconds": 19800, "Name": "BSE SENSEX India", "StarRating": null, "Type": "XI", "Price": 58072.7, "PriceChange": 180.69, "PercentChange": 0.3121, "OpenPrice": 57760.9, "Volume": null, "DayHigh": 58085.64, "DayLow": 57663.42, "ActivityTimeUTC": "2022-02-18T07:11:11Z", "ExchangeActivityTimeLabel": "02/18/2022 02:11 AM EST", "AverageVolume": null, "InceptionDate": "1979-04-03", "YesterdayPrice": 57892.01}, {"PerformanceId": "0P00006NNM", "RegionAndTicker": "CHN:000001", "Currency": "CNY", "Exchange": "XSHG", "ExchangeShortName": "XSHG", "ExchangeTimeZoneOffsetFromUTCInSeconds": 28800, "Name": "Shanghai SE Composite", "StarRating": null, "Type": "XI", "Price": 3490.7573, "PriceChange": 22.7219, "PercentChange": 0.6552, "OpenPrice": 3451.6318, "Volume": 295149963, "DayHigh": 3490.7573, "DayLow": 3447.0273, "ActivityTimeUTC": "2022-02-18T07:00:08Z", "ExchangeActivityTimeLabel": "02/18/2022 02:00 AM EST", "AverageVolume": null, "InceptionDate": "1990-12-19", "YesterdayPrice": 3468.0354}], "CAN": [{"PerformanceId": "0P00008IVF", "RegionAndTicker": "CAN:0000", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Composite", "StarRating": null, "Type": "XI", "Price": 21176.33, "PriceChange": -207.31, "PercentChange": -0.9695, "OpenPrice": 21358.47, "Volume": 254383557, "DayHigh": 21395.07, "DayLow": 21160.09, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 217.6816, "InceptionDate": "1960-01-29", "YesterdayPrice": 21383.64}, {"PerformanceId": "0P00008PAC", "RegionAndTicker": "CAN:TX60", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX 60", "StarRating": null, "Type": "XI", "Price": 1281.53, "PriceChange": -12.84, "PercentChange": -0.992, "OpenPrice": 1292.79, "Volume": 118296252, "DayHigh": 1295.06, "DayLow": 1280.76, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 96.2463, "InceptionDate": "1982-02-26", "YesterdayPrice": 1294.37}, {"PerformanceId": "0P00008IVE", "RegionAndTicker": "CAN:TX20", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Small Cap", "StarRating": null, "Type": "XI", "Price": 796.6, "PriceChange": -6.58, "PercentChange": -0.8192, "OpenPrice": 802.52, "Volume": 82691966, "DayHigh": 804.84, "DayLow": 795.51, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 98.7047, "InceptionDate": "1999-05-17", "YesterdayPrice": 803.18}, {"PerformanceId": "0P00001QO6", "RegionAndTicker": "CAN:JX", "Currency": "CAD", "Exchange": "XTSE", "ExchangeShortName": "XTSE", "ExchangeTimeZoneOffsetFromUTCInSeconds": -18000, "Name": "S&P/TSX Venture", "StarRating": null, "Type": "XI", "Price": 859.53, "PriceChange": -10.53, "PercentChange": -1.2103, "OpenPrice": 869.39, "Volume": 76586573, "DayHigh": 869.57, "DayLow": 858.66, "ActivityTimeUTC": "2022-02-17T22:09:54Z", "ExchangeActivityTimeLabel": "02/17/2022 05:09 PM EST", "AverageVolume": 179.2263, "InceptionDate": "2001-11-30", "YesterdayPrice": 870.06}]}, "Barometers": {"ThreeYears": [{"PercentChange": 11.54192, "Level": 2}, {"PercentChange": 19.32483, "Level": 2}, {"PercentChange": 18.27009, "Level": 2}, {"PercentChange": 11.70948, "Level": 2}, {"PercentChange": 15.18625, "Level": 2}, {"PercentChange": 17.77718, "Level": 2}, {"PercentChange": 11.06127, "Level": 2}, {"PercentChange": 10.06722, "Level": 2}, {"PercentChange": 8.30346, "Level": 1}], "OneYear": [{"PercentChange": 16.06737, "Level": 2}, {"PercentChange": 14.73543, "Level": 2}, {"PercentChange": -6.00776, "Level": -1}, {"PercentChange": 19.47328, "Level": 2}, {"PercentChange": 12.25202, "Level": 2}, {"PercentChange": -10.36895, "Level": -2}, {"PercentChange": 17.93407, "Level": 2}, {"PercentChange": 0.58198, "Level": 1}, {"PercentChange": -25.71572, "Level": -3}], "ThreeMonths": [{"PercentChange": 2.31498, "Level": 1}, {"PercentChange": -4.24089, "Level": -2}, {"PercentChange": -21.63228, "Level": -3}, {"PercentChange": 2.29831, "Level": 1}, {"PercentChange": -6.96274, "Level": -2}, {"PercentChange": -20.55577, "Level": -3}, {"PercentChange": -2.70328, "Level": -1}, {"PercentChange": -8.06689, "Level": -3}, {"PercentChange": -23.3544, "Level": -3}], "OneWeek": [{"PercentChange": -1.39568, "Level": -3}, {"PercentChange": -2.96506, "Level": -3}, {"PercentChange": -5.20815, "Level": -3}, {"PercentChange": -1.12276, "Level": -2}, {"PercentChange": -2.22547, "Level": -3}, {"PercentChange": -4.17736, "Level": -3}, {"PercentChange": -0.36411, "Level": -1}, {"PercentChange": -0.32669, "Level": -1}, {"PercentChange": -3.97501, "Level": -3}], "OneDay": [{"PercentChange": -0.9312, "Level": -2}, {"PercentChange": -2.1157, "Level": -3}, {"PercentChange": -3.986, "Level": -3}, {"PercentChange": -1.3663, "Level": -3}, {"PercentChange": -1.9982, "Level": -3}, {"PercentChange": -3.4773, "Level": -3}, {"PercentChange": -1.7778, "Level": -3}, {"PercentChange": -1.9708, "Level": -3}, {"PercentChange": -4.0044, "Level": -3}], "OneMonth": [{"PercentChange": -3.5673, "Level": -2}, {"PercentChange": -5.22106, "Level": -3}, {"PercentChange": -9.56627, "Level": -3}, {"PercentChange": -2.63338, "Level": -2}, {"PercentChange": -5.57509, "Level": -3}, {"PercentChange": -5.68958, "Level": -3}, {"PercentChange": -4.47644, "Level": -3}, {"PercentChange": -5.27817, "Level": -3}, {"PercentChange": -7.38525, "Level": -3}]}, "Timestamp": "2022-02-18T07:26:13Z"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"MarketRegions": {"type": "object", "properties": {"USA": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": "number"}, "PercentChange": {"type": "number"}, "OpenPrice": {"type": "number"}, "Volume": {"type": ["integer", "null"]}, "DayHigh": {"type": "number"}, "DayLow": {"type": "number"}, "ActivityTimeUTC": {"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": "number"}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", 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{"type": "string"}, "ExchangeActivityTimeLabel": {"type": "string"}, "AverageVolume": {"type": ["integer", "null"]}, "InceptionDate": {"type": "string"}, "YesterdayPrice": {"type": "number"}}, "required": ["ActivityTimeUTC", "AverageVolume", "Currency", "DayHigh", "DayLow", "Exchange", "ExchangeActivityTimeLabel", "ExchangeShortName", "ExchangeTimeZoneOffsetFromUTCInSeconds", "InceptionDate", "Name", "OpenPrice", "PercentChange", "PerformanceId", "Price", "PriceChange", "RegionAndTicker", "StarRating", "Type", "Volume", "YesterdayPrice"]}}, "Asia": {"type": "array", "items": {"type": "object", "properties": {"PerformanceId": {"type": "string"}, "RegionAndTicker": {"type": "string"}, "Currency": {"type": "string"}, "Exchange": {"type": "string"}, "ExchangeShortName": {"type": "string"}, "ExchangeTimeZoneOffsetFromUTCInSeconds": {"type": "integer"}, "Name": {"type": "string"}, "StarRating": {"type": "null"}, "Type": {"type": "string"}, "Price": {"type": "number"}, "PriceChange": {"type": 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{"type": "object", "properties": {"ThreeYears": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneYear": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "ThreeMonths": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneWeek": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneDay": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}, "OneMonth": {"type": "array", "items": {"type": "object", "properties": {"PercentChange": {"type": "number"}, "Level": {"type": "integer"}}, "required": ["Level", "PercentChange"]}}}, "required": ["OneDay", "OneMonth", "OneWeek", "OneYear", "ThreeMonths", "ThreeYears"]}, "Timestamp": {"type": "string"}}, "required": ["Barometers", "MarketRegions", "Timestamp"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/620d95c4-c9f3-4c30-aa25-ed543344f6a4/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/v2/get-returns
Get market return by years
200
Response
{"0P0000OQN8": {"marketReturn5Years": 89.947717, "ticker": "TSLA", "marketReturn1Year": 49.75555, "securityId": "F00000ITT6", "exchange": "XNAS", "marketReturn3Years": 151.337153}, "0P000000GY": {"marketReturn5Years": 44.326349, "ticker": "AAPL", "marketReturn1Year": 34.47509, "securityId": "E0USA002US", "exchange": "XNAS", "marketReturn3Years": 65.881777}}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"0P0000OQN8": {"type": "object", "properties": {"marketReturn5Years": {"type": "number"}, "ticker": {"type": "string"}, "marketReturn1Year": {"type": "number"}, "securityId": {"type": "string"}, "exchange": {"type": "string"}, "marketReturn3Years": {"type": "number"}}, "required": ["exchange", "marketReturn1Year", "marketReturn3Years", "marketReturn5Years", "securityId", "ticker"]}, "0P000000GY": {"type": "object", "properties": {"marketReturn5Years": {"type": "number"}, "ticker": {"type": "string"}, "marketReturn1Year": {"type": "number"}, "securityId": {"type": "string"}, "exchange": {"type": "string"}, "marketReturn3Years": {"type": "number"}}, "required": ["exchange", "marketReturn1Year", "marketReturn3Years", "marketReturn5Years", "securityId", "ticker"]}}, "required": ["0P000000GY", "0P0000OQN8"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/34754bb3-173a-43b4-9190-5c21715e390d/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/v2/get-realtime-data
Query one or more entities data at once
200
Response
{"0P0000OQN8": {"netChange": {"value": -47.04, "filtered": false}, "previousClosePrice": {"value": 923.39, "filtered": false}, "adjustedClosePrice": {"value": 923.39, "filtered": false}, "name": {"value": "Tesla", "filtered": false}, "percentNetChange": {"value": -5.0943, "filtered": false}, "tradingStatus": {"value": "Closed", "filtered": false}, "lastPrice": {"value": 876.35, "filtered": false, "date": {"value": "2022-02-17T16:15:00-05:00", "filtered": false}}}, "0P000000GY": {"netChange": {"value": -3.67, "filtered": false}, "previousClosePrice": {"value": 172.55, "filtered": false}, "adjustedClosePrice": {"value": 172.55, "filtered": false}, "name": {"value": "Apple", "filtered": false}, "percentNetChange": {"value": -2.1269, "filtered": false}, "tradingStatus": {"value": "Closed", "filtered": false}, "lastPrice": {"value": 168.88, "filtered": false, "date": {"value": "2022-02-17T16:15:01-05:00", "filtered": false}}}}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"0P0000OQN8": {"type": "object", "properties": {"netChange": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "previousClosePrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "adjustedClosePrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "name": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "percentNetChange": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "tradingStatus": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "lastPrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}, "date": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["date", "filtered", "value"]}}, "required": ["adjustedClosePrice", "lastPrice", "name", "netChange", "percentNetChange", "previousClosePrice", "tradingStatus"]}, "0P000000GY": {"type": "object", "properties": {"netChange": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "previousClosePrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "adjustedClosePrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "name": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "percentNetChange": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "tradingStatus": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}, "lastPrice": {"type": "object", "properties": {"value": {"type": "number"}, "filtered": {"type": "boolean"}, "date": {"type": "object", "properties": {"value": {"type": "string"}, "filtered": {"type": "boolean"}}, "required": ["filtered", "value"]}}, "required": ["date", "filtered", "value"]}}, "required": ["adjustedClosePrice", "lastPrice", "name", "netChange", "percentNetChange", "previousClosePrice", "tradingStatus"]}}, "required": ["0P000000GY", "0P0000OQN8"]}
f45cbbf7-aa21-4266-878e-08d9bba00370/2a3ddec9-547f-415d-9dad-79705eb06435/0/0
MS Finance
This API helps to query financial summary, stocks, quotes, movers, news, etc... to create a site/application such as morningstar.com
9.7
market/v2/get-movers
Get movers, such as : actives, gainers, losers, etc...
200
Response
{"actives": [{"exchange": "XNAS", "lastPrice": 5.11, "percentChange": -12.9472, "performanceId": "0P000002B5", "priceChange": -0.76, "standardName": "FuelCell Energy Inc", "ticker": "FCEL", "volume": 66939155}, {"exchange": "XNAS", "lastPrice": 179.38, "percentChange": 0.0502, "performanceId": "0P000000GY", "priceChange": 0.09, "standardName": "Apple Inc", "ticker": "AAPL", "volume": 60540189}, {"exchange": "XNAS", "lastPrice": 148.26, "percentChange": -3.1929, "performanceId": "0P0000006A", "priceChange": -4.89, "standardName": "Advanced Micro Devices Inc", "ticker": "AMD", "volume": 50960199}, {"exchange": "XNYS", "lastPrice": 28.25, "percentChange": -4.6574, "performanceId": "0P0001EEPZ", "priceChange": -1.38, "standardName": "NIO Inc ADR", "ticker": "NIO", "volume": 50566025}, {"exchange": "XNYS", "lastPrice": 4.94, "percentChange": -8.1784, "performanceId": "0P0001MSEO", "priceChange": -0.44, "standardName": "DiDi Global Inc ADR", "ticker": "DIDI", "volume": 37339994}, {"exchange": "XNYS", "lastPrice": 20.56, "percentChange": -0.9634, "performanceId": "0P0000029A", "priceChange": -0.2, "standardName": "Ford Motor Co", "ticker": "F", "volume": 36936847}, {"exchange": "XNAS", "lastPrice": 300.01, "percentChange": -1.0586, "performanceId": "0P000003RE", "priceChange": -3.21, "standardName": "NVIDIA Corp", "ticker": "NVDA", "volume": 34006709}, {"exchange": "XNYS", "lastPrice": 24.64, "percentChange": -0.7252, "performanceId": "0P00000031", "priceChange": -0.18, "standardName": "AT&T Inc", "ticker": "T", "volume": 33387516}, {"exchange": "XNAS", "lastPrice": 96.17, "percentChange": 3.4754, "performanceId": "0P000003MC", "priceChange": 3.23, "standardName": "Micron Technology Inc", "ticker": "MU", "volume": 31950965}, {"exchange": "XNYS", "lastPrice": 27.95, "percentChange": 0.8297, "performanceId": "0P00011H0G", "priceChange": 0.23, "standardName": "AMC Entertainment Holdings Inc Class A", "ticker": "AMC", "volume": 30826395}], "gainers": [{"exchange": "XNYS", "lastPrice": 78.3, "percentChange": 14.457, "performanceId": "0P0000NHEX", "priceChange": 9.89, "standardName": "Calix Inc", "ticker": "CALX", "volume": 4139018}, {"exchange": "XNAS", "lastPrice": 13.34, "percentChange": 12.2896, "performanceId": "0P0001NONI", "priceChange": 1.46, "standardName": "Arhaus Inc Class A", "ticker": "ARHS", "volume": 1383745}, {"exchange": "XNYS", "lastPrice": 54.5, "percentChange": 12.1861, "performanceId": "0P0001MYB4", "priceChange": 5.92, "standardName": "Victoria\u2019s Secret & Co", "ticker": "VSCO", "volume": 6891751}, {"exchange": "XNYS", "lastPrice": 14.92, "percentChange": 11.2603, "performanceId": "0P0001O0OJ", "priceChange": 1.51, "standardName": "Hagerty Inc Ordinary Shares - 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