Which or programming language are you planning to use?
Do you need a to automate your data downloads?
Inside each hourly file, the data is compressed using the .bi5 format. Once decompressed, each individual tick contains five core variables:
For swing traders or daily chart strategies, standard broker data is usually sufficient. However, if you develop , utilizing Dukascopy historical data is mandatory. The exclusive combination of institutional volume, variable spread history, and raw tick precision provides the ultimate environment to stress-test your capital before risking a single real dollar.
Integer value. To get the actual price, divide by a point factor (typically 100,000 for FX). dukascopy historical data exclusive
Select your specific asset (e.g., EURUSD) and define your historical lookback window. For robust statistical significance, a minimum window of is recommended to expose your strategy to multiple market regimes (bull markets, bear markets, high-volatility crises, and low-volatility consolidations). Step 2: Configure the Export Settings
A robust tool by StrategyQuant designed to download, manage, and export high-quality tick data into multiple formats for various machine-learning and strategy-building suites. 2. Open-Source Python Libraries
This "warts and all" approach is exclusive because it is less user-friendly. A trader using a standard broker’s smooth, interpolated data will see a beautiful equity curve. A trader using Dukascopy’s raw data will see the slippage, the gaps, and the brutal reality of liquidity evaporation. For serious risk management, this exclusivity is a virtue; for the hobbyist, it is a nuisance.
: The data includes both bid and ask prices , which is critical for accurate spread calculation and realistic back-testing. Historical coverage often extends back over 15 years for major currency pairs. Which or programming language are you planning to use
Many traders use bridge software like or Tick Data Suite . These tools download the exclusive Dukascopy feed and automatically format it for use in MetaTrader 4 (MT4) or MT5 , allowing for "99.9% modeling quality" backtests. Why "99.9% Modeling Quality" Matters
A vast array of community-driven tools has been built to interact with Dukascopy's data, including , dukascopy-node (Node.js) , and a Rust library for high-performance parsing of bi5 files.
I can provide tailored technical instructions to help you set up your backtesting environment. Share public link
Most brokers use (e.g., one candle every minute). Dukascopy offers an exclusive alternative: Tick-based data . Once decompressed, each individual tick contains five core
Dukascopy's historical data is a genuine differentiator in the online trading space. It's a combination of institutional-grade source material, unparalleled granularity, an extensive asset library, and completely free access that sets it far apart from the competition. This is the key reason why so many in the quantitative and algorithmic trading communities rely on it as their primary source for historical market data. By understanding how to access and work with this data, traders and developers can gain a significant edge in developing and validating robust, data-driven trading strategies.
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: Includes years of historical data for Forex, Commodities, Precious Metals, Stocks, ETFs, and Indices .
For a quick download of a specific instrument and timeframe, the web-based tool is perfect. It provides data in .csv and .hst formats from tick-by-tick up to monthly intervals.