Dukascopy - Historical Data

Understanding how Dukascopy structures its data is essential for using it effectively. The platform is built on a foundational hierarchy to ensure fast and efficient charting.

(Third-party tools)

Over 1,000 instruments , including major and minor Forex pairs, precious metals, cryptocurrencies, stocks, and bonds.

Generate .hst files (for charts) and .fxt files (for the MT4 Strategy Tester).

Many brokers provide historical data, but it is often riddled with gaps, artificial price spikes, or limited to specific timeframes. Dukascopy remains a premier choice for several distinct reasons:

Unlike many brokers who "smooth" their data, Dukascopy provides a true historical price feed directly from their SWFX Swiss FX Marketplace liquidity pool.

Tickstory is a dedicated data-downloading software optimized for MetaTrader users. It automates the extraction of Dukascopy data and launches MT4/MT5 with "99% backtest quality" capability, bypassing the broker's default, less accurate data history. 3. Open-Source Python Libraries

The historical data includes multiple timeframes, from tick-by-tick (the most granular level) up to monthly aggregated bars. The JForex API also supports more custom timeframes, such as price-based Renko charts, when downloading from the JForex trading system.

While Dukascopy's free data is a powerful resource, being aware of its potential pitfalls is as important as knowing its strengths. Blindly trusting any data source can lead to overfitting or unrealistic backtest results.

The Ultimate Guide to Dukascopy Historical Data: Downloading, Processing, and Backtesting

The Ultimate Guide to Dukascopy Historical Data: Tick-Level Precision for Trading Success

Delete all existing .hst files inside the history/[your-server] directory to avoid data corruption. Step 3: Export and Convert

or dukascopy-node (JavaScript): Wrappers that handle downloading, decompression, and conversion into Pandas DataFrames.