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Datasets:
keeprich
/
oanda-trading-data

Tasks:
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
100K - 1M
Tags:
forex
oanda
trading
financial-data
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
instrument
stringclasses
5 values
granularity
stringclasses
1 value
time
stringlengths
30
30
open
float64
0.56
163
high
float64
0.56
163
low
float64
0.55
163
close
float64
0.56
163
volume
int64
1
107k
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2016-07-11T11:00:00.000000000Z
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AUD_USD
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2016-07-11T18:00:00.000000000Z
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AUD_USD
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2016-07-11T19:00:00.000000000Z
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AUD_USD
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2016-07-11T20:00:00.000000000Z
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AUD_USD
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AUD_USD
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AUD_USD
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AUD_USD
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586
AUD_USD
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2016-07-14T11:00:00.000000000Z
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AUD_USD
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2016-07-14T12:00:00.000000000Z
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AUD_USD
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2016-07-14T13:00:00.000000000Z
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AUD_USD
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2016-07-14T14:00:00.000000000Z
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AUD_USD
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AUD_USD
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673
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622
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H1
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AUD_USD
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2016-07-15T12:00:00.000000000Z
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940
AUD_USD
H1
2016-07-15T13:00:00.000000000Z
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AUD_USD
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782
End of preview. Expand in Data Studio

OANDA Trading Data - 10 Year Backfill

Historical forex (FX) candle data collected from OANDA v3 API for machine learning model training.

Dataset Summary

  • Period: 10 years of historical data
  • Instruments: EUR_USD, GBP_USD, USD_JPY, AUD_USD, USD_CHF
  • Granularities: H1 (1-hour candles) - optimized for model training
  • Total Records: ~310,000 rows (62k rows × 5 instruments)
  • Format: CSV with OHLCV columns

Data Format

Each CSV file contains:

  • instrument: Currency pair (e.g., EUR_USD)
  • granularity: Timeframe (H1 = 1-hour)
  • time: Candle timestamp (ISO 8601)
  • open: Opening price
  • high: Highest price in period
  • low: Lowest price in period
  • close: Closing price
  • volume: Volume (pip-based for OANDA)

Files

  • EUR_USD_H1_10y_*.csv - Euro/US Dollar hourly data
  • GBP_USD_H1_10y_*.csv - British Pound/US Dollar hourly data
  • USD_JPY_H1_10y_*.csv - US Dollar/Japanese Yen hourly data
  • AUD_USD_H1_10y_*.csv - Australian Dollar/US Dollar hourly data
  • USD_CHF_H1_10y_*.csv - US Dollar/Swiss Franc hourly data

Usage 

from datasets import load_dataset

# Load specific instrument
df = load_dataset('keeprich/oanda-trading-data', data_files='EUR_USD_H1_10y_*.csv')

# Or load all instruments
df = load_dataset('keeprich/oanda-trading-data', split='train')

Citation

OANDA trading data for ML model training. Collected July 2026.

License

CC0 1.0 Universal (Public Domain)
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Number of rows:
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Total file size:
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