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.
4.5/5
Here are some of the most notable Python libraries:
Depending on your technical expertise, there are three primary ways to extract and convert Dukascopy data. Method 1: Open-Source Command Line Tools (Recommended)
Dukascopy publishes their data directly, ensuring it reflects their market-driven liquidity provider rates. dukascopy historical data
For traders who prefer a graphical user interface (GUI) or a quick setup, software tools handle the downloading, decompression, and formatting automatically:
Open your chosen download tool and select the symbol (e.g., EURUSD).
bi5 files? Do you want to see the specific format required for ? Alternatively, we can discuss how to implement a slippage model to account for the spread variances we discussed.
Automated, precise, resume-able. Cons: Requires coding knowledge. Direct the tool to export the data as
Dukascopy maintains an impressive historical archive.
The Swiss broker provides historical files for an expansive list of instruments: : Major, minor, and exotic currency pairs.
The Ultimate Guide to Dukascopy Historical Data: Premium Quality for Free
Click , close MT4, and navigate to your MT4 installation folder. For traders who prefer a graphical user interface
If you want to start downloading this data for your own systems, let me know: What do you use? (MT4, MT5, Python, etc.) Which financial instruments are you focusing on? Do you need assistance setting up a specific download tool ?
A free tool by StrategyQuant that downloads Dukascopy tick data and exports it into various formats (CSV, MetaTrader, NinjaTrader). Method 2: Programmatic Downloading (Python & Node.js)
When decompressed, each individual tick row contains five key metrics: The exact millisecond the price change occurred. Ask Price: The lowest price a seller is willing to accept. Bid Price: The highest price a buyer is willing to pay.
Method 1: Using Dedicated Software (QuantDataManager or Tickstory)
Dukascopy's JForex platform downloads and stores only : ticks, 1-minute bars, 1-hour bars, and 1-day bars. All other timeframes you might use, such as 10-second, 5-minute, or even weekly and monthly periods, are calculated on the fly from these four core datasets. This methodology reduces redundant data storage and streamlines platform performance.
: Available from tick-by-tick data to monthly bars, with custom timeframes like 3-minute bars available through specific tools.