An HTTP request fetches the hourly .bi5 file. The script uses Python’s built-in lzma module to decompress the binary payload. Step 2: Unpack the Binary Data
These contain bar data (M1, M5, H1, etc.) and go into the history/[your-broker-server] folder.
👇 Drop your experience below — or share your favorite tool for cleaning tick data before feeding it into a model.
Institutional traders or quantitative hedge funds can access the data via the or FIX API . This provides real-time and historical data programmatically, ideal for automated trading systems. dukascopy historical data
Unlike many brokers who "smooth" their data, Dukascopy provides a true historical price feed directly from their SWFX Swiss FX Marketplace liquidity pool.
Most retail algorithmic traders use Dukascopy data to achieve the coveted in MetaTrader 4. Here is how to achieve it: Step 1: Download and Export Open a tool like Tickstory or QuantDataManager .
Using your download tool, export the downloaded Dukascopy data directly into the MT4 directory. The tool will automatically convert the tick data into the required .hst format for various timeframes (M1, M5, M15, H1, etc.) and generate an FXT file for tick-level simulations. Step 4: Run the Backtest An HTTP request fetches the hourly
The Ultimate Guide to Dukascopy Historical Data: Tick-Level Precision for Trading Success
For data scientists and algorithmic traders building custom pipelines, Python offers excellent open-source libraries:
The Ultimate Guide to Dukascopy Historical Data: Downloading, Processing, and Backtesting 👇 Drop your experience below — or share
If you code in Java, Dukascopy’s proprietary platform, JForex, offers a robust built-in API. You can write simple scripts within the platform to export historical data directly to your local drive. 4. Python Libraries ( QuantAtRisk or Dukascopy-Converter )
Dukascopy provides historical forex, CFD, and crypto market data (tick, 1-minute, and higher aggregation intervals) collected from its JForex platform and liquidity providers. Data is widely used for backtesting, research, and algorithmic trading.
JForex is Dukascopy’s proprietary trading and charting platform. It contains a built-in "Historical Data" downloader.