Dukascopy historical data bridges the gap between retail traders and institutional-grade backtesting. By leveraging tick-by-tick ECN data, you remove the guesswork of bar-based simulations and gain a clear, precise view of how your algorithmic strategy would have performed in real-world market conditions. Whether you choose a simple GUI engine like Tickstory or build a custom Python pipeline, mastering this data pipeline is a vital milestone for any serious quantitative trader.
Each .bi5 file represents exactly one hour of tick data. Inside the file, the data is compressed using standard LZMA compression. Once decompressed, the file yields a binary stream where each tick is a 20-byte record structured as follows: Description 32-bit Integer Milliseconds elapsed since the start of the hour Ask Price 32-bit Integer Ask price multiplied by 10510 to the fifth power 10210 squared for JPY pairs) Bid Price 32-bit Integer Bid price multiplied by 10510 to the fifth power 10210 squared for JPY pairs) Ask Volume 32-bit Float Liquidity available at the Ask price (in millions) Bid Volume 32-bit Float Liquidity available at the Bid price (in millions) Methods for Downloading Dukascopy Data
Export the data directly as MT4 .fxt (for strategy tester bars) and .hst (for chart history) files.
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. dukascopy historical data
Do you need assistance setting up a to automate your downloads?
Open your downloader of choice, choose your desired currency pairs (e.g., GBP/USD), and set the historical range (e.g., 2018 to 2026).
Direct the tool to export the data as .hst (for charts) and .fxt (for the Strategy Tester) files, then save them into your MetaTrader installation's data folder. Dukascopy historical data bridges the gap between retail
Because downloading thousands of hourly compressed files manually via a browser is impossible, traders use specialized automated tools. Option A: Specialized Third-Party Downloader Tools
Because the data comes from the SWFX marketplace (aggregating liquidity from 15+ banks), the historical quotes include real bid/ask spreads. This is vital for backtesting. If you test a strategy using "fixed spreads," you might be profitable, but fail in live markets with variable spreads. Dukascopy historical data allows you to simulate slippage and spread widening during high-impact news events (like NFP or FOMC).
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. In the world of algorithmic trading, backtesting, and
: Access data for over 1,000 instruments, including Forex, Commodities, Stocks, Crypto, and Indices .
The difference between a gambler and a trader is . Without Dukascopy historical data , you are flying blind. You don't know if your "amazing" new strategy would have been wiped out during the 2014 Russian Ruble crisis.
Which (forex, indices, crypto) are you targeting?
Some users complain that Dukascopy historical data looks "noisy" or "choppy" compared to MetaTrader demo data. This is actually a feature, not a bug.
: Some instrument data traces back to the 1990s, allowing for long-term market cycle studies.