Dukascopy Historical Data May 2026
Analysis of Dukascopy Historical Data
Overview
Dukascopy provides tick, bar (candlestick), and tick-level order-book data for FX, CFDs, and select instruments via its historical data repository and API. The dataset is widely used for backtesting, research, and strategy development because it includes high-resolution ticks and several years of archives for major currency pairs and instruments.
Strengths
- High resolution: tick-level data suitable for intraday strategy testing and precise slippage/latency modeling.
- Breadth: covers major FX pairs extensively; multi-year history for many pairs.
- Publicly accessible: no paid subscription required to download archived files.
- Consistent structure: file naming and directory layout are predictable, easing automated retrieval.
The data is aggregated from multiple liquidity providers, giving it institutional-grade depth. dukascopy historical data
On this day, the Swiss National Bank uncapped the CHF (Swiss Franc), causing a flash crash of 30% in seconds. Due to liquidity evaporation, Dukascopy's tick data for that day contains gaps and nonsensical spreads (spreads widened to 1000+ pips). The data is aggregated from multiple liquidity providers,
Swiss-based Dukascopy Bank is renowned not just for its ECN (Electronic Communication Network) brokerage services but specifically for its Historical Data Feed, often accessed via the Dukascopy JForex platform. Whether you are a quantitative hedge fund manager or a retail trader learning Python, understanding how to harvest and utilize this data is a game-changer. easing automated retrieval.
Step 4: Slippage Simulation
Using historical tick data, you can simulate real slippage. If your signal triggers at a price, look at the next tick to see if you would have been filled or if price gapped through your limit.
- Scalping: Use Tick data.
- Day Trading: Use M1 or M5 data.
- Swing Trading: Use H4 or Daily data resampled from ticks (this ensures your OHLC is accurate).