Dukascopy offers a data export tool and historical data feeds directly through their website or the JForex platform API. However, downloading years of tick data for multiple currency pairs requires scripting knowledge (usually Python or Java). You must write scripts to query their servers, handle connection timeouts, and aggregate the massive CSV files.

For retail traders, institutional quants, and software developers alike, stands as an exclusive, gold-standard solution to this problem. Dukascopy Bank, a regulated Swiss forex broker, provides free, publicly accessible, and exceptionally high-quality tick data spanning decades.

Dukascopy stores its raw historical data in a highly structured, compressed binary format hosted on public web servers. The data is organized chronologically by asset, year, month, day, and hour.

If you train neural networks or machine learning models for market prediction, the quality of your input features dictates the quality of your output. Raw tick data allows you to engineer highly precise features, such as volatility regimes, custom time-bar alternatives (Volume Bars or Renko Bars), and order book velocity metrics. Step-by-Step: Maximizing Backtest Accuracy