While Dukascopy data is top-tier, working with it requires navigating a few technical nuances. GMT vs. Local Time
A highly popular utility specifically designed to export Dukascopy data into MetaTrader 4/5 .fxt and .hst files, allowing for 99.0% backtesting quality. 2. Python Libraries (Best for Data Scientists)
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 dukascopy historical data
: Users can use the Historical Data Manager within the JForex desktop platform for more streamlined downloads.
Dukascopy provides a powerful historical data feed covering its entire suite of over offered on the SWFX (Swiss Forex Marketplace) and other exchanges. This free resource is widely recognized as one of the best public archives of high-resolution market data and is used by professional traders and quantitative researchers globally. The data can be accessed in multiple ways, ranging from a straightforward online export tool to powerful programmatic APIs and third-party libraries. While Dukascopy data is top-tier, working with it
For bulk downloads, it is recommended to open a demo or live account and use the . Access: Navigate to Tools → Historical Data Manager .
If you want to implement this data into your specific trading setup, let me know: Step 2: Unpack the Binary Data : Users
: Known for high-precision tick data that includes bid/ask prices and volume, making it a standard for accurate backtesting. Dukascopy Bank SA How to Access and Download : Use the official Dukascopy Historical Data Feed