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keeprich/oanda-trading-data

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:… See the full description on the dataset page: https://huggingface.co/datasets/keeprich/oanda-trading-data.

sourceHugging Facecc0-1.0updated 3mo agoView on Hugging Face
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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: EURUSD, GBPUSD, USDJPY, AUDUSD, 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

python
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)