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.
This comprehensive guide explores the exclusive nature of Dukascopy historical data, why it remains an industry benchmark, and how you can leverage it to optimize your trading strategies. 1. What Makes Dukascopy Historical Data "Exclusive"?
Integer representing milliseconds from the start of the hour (or absolute epoch time depending on the parser).
Precise historical data is the backbone of any successful algorithmic trading strategy. Backtesting with flawed, low-resolution data leads to inaccurate simulations, hidden risks, and ultimately, capital loss. This is why professional quantitative traders, retail algorithmic traders, and software developers continually turn to the Swiss Forex Bank, Dukascopy. dukascopy historical data exclusive
Dukascopy data is natively recorded in Coordinated Universal Time (GMT/UTC). You must shift the timestamps during export to match your broker's platform time (usually GMT+2 or GMT+3 for DST). Dukascopy vs. Competitors: A Quick Analysis Dukascopy Data Retail Broker Data Paid Institutional Feeds Cost Thousands / Month Data Depth True Tick-by-Tick M1 / M5 Bars Only Tick + Order Book Spread Type Variable (Real-time) Fixed / Averaged Variable (Interbank) History Length Final Verdict: Is It Worth the Effort?
According to StrategyQuant , data changes can occur, and while these are often improvements (e.g., adding missing ticks), you need a reliable source to ensure your strategy isn't failing due to "junk" data.
Because Dukascopy aggregates liquidity from dozens of Tier-1 banks, their historical data reflects the actual "interbank" market. This means your backtests aren't just simulating a broker's internal feed— they are simulating the global forex market. 3. Depth of History For a quick download of a specific instrument
ticker = DukascopyTicker('EURUSD') ticks = ticker.get_ticks_range('2023-06-01', '2023-06-02')
To extract and utilize this exclusive data source efficiently, you must understand how Dukascopy stores its files. To save bandwidth, Dukascopy hosts its data in a heavily compressed, decentralized binary format. The Storage Hierarchy
JForex is Dukascopy's proprietary trading platform. Its is the most powerful tool for accessing data, providing the ability to obtain more custom timeframes, such as price-based Renko charts. It's available in both demo and live versions, and you can access it from Tools in the menu bar. This is the best starting point for manual exploration and downloading customized datasets. Precise historical data is the backbone of any
(in premium data)
While Dukascopy provides this data for free to the public, the data is "exclusive" because it represents a true Electronic Communication Network (ECN) environment. The feed aggregates liquidity from dozens of Tier-1 banks. Testing your strategy on this data ensures your simulations mirror institutional liquidity, rather than the artificial, smoothed data feeds provided by market-maker brokers. Technical Specifications: The Dukascopy Data Format
The historical repository is not limited to major currency pairs. It includes a massive matrix of global financial instruments: Majors, minors, and exotic currency crosses.
Major global stock indices (e.g., US30, DE40, UK100).