Many traders access Dukascopy's historical data through popular platforms like MetaTrader 4 (MT4) or MetaTrader 5 (MT5). To access historical data on MT4 or MT5, go to Tools, then History Center. You can download forex data for major currency pairs and other assets from there. The data can be used in MT4/MT5 in .csv or .hst format. Some third-party tools, such as TickStory, have also been developed to facilitate the import of Dukascopy tick data into MT4 for backtesting.
The data includes both sides of the market (bid and ask), which is crucial for calculating accurate transaction costs.
There are many places to get historical data (Yahoo Finance, FXCM, OANDA), but Dukascopy holds a unique position for three specific reasons. dukascopy historical data
While high quality, tick data can contain outliers. Implement filters to remove erroneous ticks.
To ensure the reliability of your analysis, keep these core principles in mind when using any financial data, including Dukascopy's: The data can be used in MT4/MT5 in
Dukascopy's historical data is widely regarded as a high-quality resource for quantitative analysis. One of its main advantages is the sheer volume and detail of the data provided. As noted on a community forum, "Dukascopy has one of the best historical databases available for the public, especially for algorithmic systems". It is often described as "more realistic than that of many MT4 brokers". The depth of detail comes from the bank's ECN model, which aggregates orders from multiple liquidity providers. This approach typically results in a higher frequency of ticks, providing a more granular and accurate representation of real market dynamics.
Dukascopy data is generally provided in GMT/UTC . Ensure your backtesting engine correctly accounts for this. There are many places to get historical data
Dukascopy provides bidirectional price data (bid and ask), allowing for realistic slippage calculations.
Standard MetaTrader historical data provided by brokers often suffers from gaps and 90% modeling quality limitations. Using Dukascopy data unlocks backtests.
Various open-source Python scripts are available for those who want to automate the process. 3. Python and APIs
Dukascopy Historical Data provides the granular detail needed for modern quantitative analysis. By utilizing tick-level or minute-level data, traders can build more robust, realistic, and profitable strategies.