Dukascopy Historical Data ((link)) Jun 2026

For traders developing algorithmic strategies (specifically backtesting) who need high-quality Tick Data without paying expensive vendor fees, Dukascopy is arguably the best source available to retail traders.

Dukascopy provides multiple methods to access historical data, depending on your technical skills and needs.

: Coverage includes Forex (major and exotic), Commodities (gold, silver, oil), Indices, Stocks, ETFs, Bonds, and Crypto CFDs.

The primary appeal lies in its "Swiss-grade" transparency and depth.

While Dukascopy data is excellent, traders should keep a few technical nuances in mind: dukascopy historical data

Data available in tick, 1-minute (M1), 1-hour, and daily (D1) resolutions.

A highly popular tool designed specifically to download Dukascopy data, convert it, and launch MetaTrader 4 with 99.9% backtesting quality.

For developers using Python or C#, the JForex API allows scripted downloading. You can write a loop to pull 20 years of EURUSD ticks automatically.

: Data can be exported as .csv , .hst (for MetaTrader), or .json (for Expert Advisor Studio). How to Access Historical Data The primary appeal lies in its "Swiss-grade" transparency

When you download historical data from Dukascopy, you are getting raw market data directly from an institutional environment. 1. True Tick-by-Tick Precision

is the gold standard for forex traders, algorithmic developers, and market researchers who require high-quality, tick-by-tick market data without a premium price tag. While most institutional feeds charge thousands of dollars for historical tick logs, Swiss forex bank Dukascopy provides decades of granular data across currencies, commodities, and indices completely free.

With the rise of LLMs and AI trading bots, high-quality historical data is more valuable than ever. Reinforcement Learning models require billions of tick data points to train.

The simplest way to get data without any coding is through the official Dukascopy Bank website's Historical Data Export tool. This is ideal for manual analysis in Excel, Google Sheets, or for performing quick checks on price history. For developers using Python or C#, the JForex

: Available from tick-by-tick data to monthly bars, with custom timeframes like 3-minute bars available through specific tools.

The open-source community has built powerful libraries that abstract away the complexity of interacting directly with Dukascopy's back-end, providing a simpler interface for developers.

How to Use Dukascopy Data for 99.9% Modeling Quality in MT4/MT5