Dukascopy Historical Data Exclusive //top\\ Jun 2026

High-quality historical data is the backbone of successful algorithmic trading, backtesting, and market analysis. Among retail and institutional traders alike, has earned a legendary reputation for providing some of the most precise, tick-by-tick historical data available.

Precious metals (Gold, Silver, Platinum), Energy (Crude Oil, Brent, Natural Gas), and agriculture.

Floating-point or integer value representing liquidity available at the Bid.

Historical data spans Forex majors/minors, precious metals (gold, silver), commodities, indices, stocks, and cryptocurrencies. dukascopy historical data exclusive

Are you aiming for or swing trading strategies? Share public link

This comprehensive guide explores the unique value of Dukascopy’s exclusive market data, why it is vital for precision backtesting, and how you can seamlessly extract and format it for your trading pipeline.

If you are importing this data into MT4, remember that MT4 usually operates on a fixed GMT offset (like GMT+2). Dukascopy data is native High-quality historical data is the backbone of successful

For any trader serious about developing robust, profitable algorithmic strategies, using high-quality data is non-negotiable. provides the transparency and precision required to build trust in your system. By utilizing the raw tick-by-tick data from the SWFX Marketplace, you are giving your strategies the best possible chance to succeed in live trading environments.

Leading digital assets against major fiat currencies. Technical Architecture of the Data Files

Exclusivity also implies trust. In the world of backtesting, a phenomenon known as "survivorship bias" or "data cleansing" can destroy a strategy. Many brokers adjust their historical data to remove spikes or "errors" that were actually tradable events. Dukascopy takes a different, more rigorous approach. Their historical data is known for its consistency because it is derived from the SWFX’s actual tick log. If a price spike occurred due to a fat-finger trade or a flash crash (e.g., the 2015 Swiss Franc event), Dukascopy’s data likely includes it. Share public link This comprehensive guide explores the

Choose your currency pair, commodity, or index.

Select your date range (e.g., January 1, 2015, to the present date).

Integer representing milliseconds from the start of the hour (or absolute epoch time depending on the parser).