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Data _hot_ - Dukascopy Historical

S&P 500 (USA500), DAX (GER30), FTSE 100 (UK100), and more.

Tick data allows you to simulate trades with realistic fills. For example, a scalping strategy on EUR/USD can be tested for slippage during high-impact news events (e.g., NFP releases) using 2009 data.

For traders, quantitative analysts, and financial researchers, the availability of high-quality historical market data is the cornerstone of effective strategy development. Without reliable data, even the most sophisticated algorithm is built on a fragile foundation. Dukascopy Bank, a regulated Swiss brokerage, has become a leading source for this data, primarily because it provides free access to high-resolution tick-level data for forex, commodities, indices, and cryptocurrencies.

AI responses may include mistakes. For financial advice, consult a professional. Learn more Share public link 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:

Place the generated .hst files into your terminal's history/[server_name] directory, and .fxt files into the tester/history directory.

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. S&P 500 (USA500), DAX (GER30), FTSE 100 (UK100), and more

Dukascopy offers a broad range of instruments and granularities for historical analysis:

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.

A popular choice for MT4 users to achieve 99.9% backtesting quality. AI responses may include mistakes

You don't always need ticks. Resample to your desired timeframe.

using Python’s built-in lzma module. Unpack the 20-byte structs using the struct library.

Dukascopy is a regulated Swiss forex bank and marketplace known for its deep liquidity and tight spreads. Because they operate an Electronic Communication Network (ECN) marketplace, their historical data reflects real, tradable market prices rather than simulated or smoothed broker feeds. True Tick-by-Tick Precision