Dukascopy Historical | Data [portable]
Export the data directly as MT4 .fxt (for strategy tester bars) and .hst (for chart history) files.
When you download historical data from Dukascopy, you are getting raw market data directly from an institutional environment. 1. True Tick-by-Tick Precision
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High-quality backtesting demands data that accurately reflects live market conditions. Low-tier data providers often use interpolated M1 (one-minute) bars, which obscure true price action and lead to inaccurate performance metrics. Dukascopy data eliminates these flaws through three core advantages:
The liquidity available at the Ask price (measured in millions). Export the data directly as MT4
to manually select symbols, timeframes, and date ranges for CSV download. JForex Platform
The Ultimate Guide to Dukascopy Historical Data: Downloading, Processing, and Backtesting True Tick-by-Tick Precision This public link is valid
Users can download both bid and ask price data, though it's important to note that MetaTrader platforms only display bid side data. When using MT4 or MT5, ensure you select the appropriate offer side for accurate backtesting.
The Ultimate Guide to Dukascopy Historical Data: Free, High-Quality Forex and CFD Tick Data
: Community tools like duka (Python) or dukascopy-node enable bulk, multi-threaded automated downloads.
If you build custom scripts or use platforms like backtrader, pandas, or zipline, Python is your best tool. Open-source libraries like nseta , dukascopy-node (for JavaScript users), or custom GitHub repositories (search for "Dukascopy Tick Downloader Python") can automate the process. A typical Python workflow looks like this: Send an HTTP request to the Dukascopy data URL structure. Download the binary .bi5 files for the desired date range.
