Dukascopy Historical Data Jun 2026

In the world of algorithmic trading, backtesting, and quantitative analysis, the quality of your output is directly proportional to the quality of your input. If your historical price data is full of gaps, errors, or "bad ticks," your trading strategy is built on a foundation of sand.

The most popular method for retail traders is using free, open-source tools like the (available on GitHub). These Python/Java scripts connect to Dukascopy’s public JSON API and allow you to download raw tick data for any instrument and date range directly into CSV format. dukascopy historical data

High-quality datasets for Forex, commodities, and indices are available for free through their Historical Data Feed tool . In the world of algorithmic trading, backtesting, and