| --- |
| license: cc0-1.0 |
| task_categories: |
| - time-series-forecasting |
| language: |
| - en |
| tags: |
| - forex |
| - oanda |
| - trading |
| - financial-data |
| pretty_name: OANDA Trading Data - 10 Year Backfill |
| --- |
| |
| # 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 |
|
|
| ```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) |
|
|
