There are several ways to access this institutional-grade data, ranging from turnkey software solutions to custom programming scripts. 1. Automated Turnkey Software
For the average retail trader, this level of detail is overwhelming. A single day of EUR/USD trading can contain over 100,000 ticks. To download ten years of such data requires terabytes of storage and significant computational power. Thus, the exclusivity is self-selecting: the data is freely available via their JForex platform and API, but only a minority of traders possess the infrastructure (Python scripts, high-bandwidth connections, and solid-state storage) to utilize it properly. Dukascopy has effectively created a moat where the data is "public," but the ability to wield it is reserved for the technically elite.
Data is only as good as how you use it. Follow these principles to maximize your backtesting accuracy. Account for Swaps and Slippage
Completely free ; you don't even need a live account to download from the web tool . dukascopy historical data exclusive
Precious metals (Gold, Silver), Energy (Crude Oil, Natural Gas), and agriculture.
Convert fixed-point integers to standard decimal asset prices. Adjust timestamps from UTC to your target testing timezone.
Dukascopy’s data archive goes back many years, often starting from 2007-2010 for major pairs, providing a robust dataset for long-term strategy testing and trend analysis. Key Advantages of Using Dukascopy Data There are several ways to access this institutional-grade
Use a tool like Tickstory to download the desired asset history (e.g., EURUSD) down to the tick level.
MT5 handles ticks natively much better than its predecessor. You can import custom tick data via a .CSV file directly through the Symbols -> Custom Symbols menu. Ensure your CSV maps fields cleanly to: DATE , TIME , BID , ASK , LAST , VOLUME . Pandas and Data Science Frameworks
A single year of tick data for a volatile pair like EUR/USD can easily exceed several gigabytes. Ensure you have ample SSD storage space and sufficient RAM for processing. A single day of EUR/USD trading can contain
Here is a quick guide on why this data is considered "exclusive" and how you can actually use it. Why Dukascopy Data?
If you are writing a paper or building a model, these are the authoritative sources and tools:
For any serious algorithmic trader developing strategies for the retail FX market, Dukascopy historical data serves as the industry standard benchmark for backtesting. However, users must utilize programmatic methods (Python or JForex scripts) to access the data efficiently, as manual web downloads are insufficient for robust analysis.
They provide free access to every price change (tick) for over 1,600 instruments, including Forex, Metals, and CFDs.