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README.md

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-# MetaTrader5 Market Data with Technical Indicators
-
-## Dataset Description
-
-This dataset contains comprehensive financial market data from MetaTrader5 (MT5) on 5 symbols including "XAUUSD", "US30", "BTCUSD", "EURUSD" and "USDJPY" in 7 differents timeframe
-
-## Dataset Summary
-
-- **Size**: 4.2GB
-- **Records**: ~19.7M rows
-- **Format**: CSV
-
-## Features
-
-The dataset contains 28 columns with the following structure:
-
-### Basic Market Data
-- `symbol` (String): Trading symbol identifier
-- `timeframe` (String): Time interval (M1 = 1 minute)
-- `time` (Int64): Unix timestamp
-- `open` (Float64): Opening price
-- `high` (Float64): Highest price
-- `low` (Float64): Lowest price
-- `close` (Float64): Closing price
-- `volume` (Int64): Trading volume
-
-### Technical Indicators
-
-#### Trend Indicators
-- `adx` (Float64): Average Directional Index - measures trend strength
-- `ma` (Float64): Moving Average - trend following indicator
-- `macd_main` (Float64): MACD main line - trend momentum indicator
-- `macd_signal` (Float64): MACD signal line - entry/exit signals
-
-#### Volatility Indicators
-- `atr` (Float64): Average True Range - measures market volatility
-- `bb_upper` (Float64): Bollinger Bands upper bound
-- `bb_middle` (Float64): Bollinger Bands middle line (SMA)
-- `bb_lower` (Float64): Bollinger Bands lower bound
-- `stddev` (Float64): Standard Deviation - volatility measure
-
-#### Momentum Indicators
-- `cci` (Float64): Commodity Channel Index - momentum oscillator
-- `mfi` (Float64): Money Flow Index - volume-weighted momentum
-- `rsi` (Float64): Relative Strength Index - momentum oscillator (0-100)
-- `rvi` (Float64): Relative Vigor Index - momentum indicator
-- `stoch_k` (Float64): Stochastic %K - momentum oscillator
-- `stoch_d` (Float64): Stochastic %D - smoothed %K
-- `willr` (Float64): Williams %R - momentum indicator
-
-#### Volume Indicators
-- `obv` (Float64): On-Balance Volume - cumulative volume indicator
-
-#### Pattern Recognition
-- `candle_type` (Int32): Candlestick pattern classification
-- `zigzag_small` (String): Small timeframe swing points ("swing_high", "swing_low", or "null")
-- `zigzag_large` (String): Large timeframe swing points ("swing_high", "swing_low", or "null")
-
-## Data Schema
-
-```python
-market_data = {
-    "symbol": "String",
-    "timeframe": "String", 
-    "time": "Int64",
-    "open": "Float64",
-    "high": "Float64",
-    "low": "Float64",
-    "close": "Float64",
-    "volume": "Int64",
-    "adx": "Float64",
-    "atr": "Float64",
-    "bb_upper": "Float64",
-    "bb_middle": "Float64",
-    "bb_lower": "Float64",
-    "cci": "Float64",
-    "mfi": "Float64",
-    "ma": "Float64",
-    "macd_main": "Float64",
-    "macd_signal": "Float64",
-    "obv": "Float64",
-    "rsi": "Float64",
-    "rvi": "Float64",
-    "stddev": "Float64",
-    "stoch_k": "Float64",
-    "stoch_d": "Float64",
-    "willr": "Float64",
-    "candle_type": "Int32",
-    "zigzag_small": "Nullable(String)",  # "null", "swing_high", or "swing_low"
-    "zigzag_large": "Nullable(String)"   # "null", "swing_high", or "swing_low"
-}
-```
-