Dukascopy Historical Data Exclusive ^hot^ -
Several quantitative finance platforms have partnered with Dukascopy to redistribute historical data. These vendors clean the data (removing only genuine exchange errors) and offer user-friendly interfaces. Look for vendors who provide a or proof of origin to prove their data is exclusive. Reputable sources include historicaldata.org and tickstory.com (when configured for Dukascopy source).
Slow for massive multi-year data sets; manually intensive; limits the size of single exports.
A simple strategy looks at the number of aggressive market orders hitting the bid vs. the ask. With 1-minute data, you cannot see this. With exclusive tick data, you can calculate the Tick Imbalance Ratio (TIR) in real-time and predict short-term momentum shifts. Backtesting this requires knowing the exact sequence of bid/ask hits, which only raw tick data provides. dukascopy historical data exclusive
has established itself as the gold standard for high-fidelity historical market data. Unlike standard broker feeds that offer aggregated bar data, Dukascopy provides a massive, high-resolution dataset that includes true tick-by-tick
| Access | Description | |--------|-------------| | JForex platform | Built-in export to CSV (tick, M1, M5, etc.) | | Dukascopy API | REST/WebSocket for real-time + historical | | Data format | .bi5 compressed tick files | Reputable sources include historicaldata
: With tick-by-tick data, you can accurately model how your strategy behaves with real slippage.
Dukascopy provides access to its historical data free of charge, but extracting it manually in a usable format can be technically demanding. Below are the primary methods used by professionals. Method A: The Dukascopy Data Feed Widget the ask
MetaTrader remains the most popular retail backtesting platform, but its native historical data is notoriously unreliable. Follow this workflow to import Dukascopy data for 99.9% backtesting quality.
ticker = DukascopyTicker('EURUSD') ticks = ticker.get_ticks_range('2023-06-01', '2023-06-02')
| Feature | Yahoo / Alpha Vantage | Dukascopy (exclusive) | |---------|------------------------|------------------------| | Tick data | ❌ | ✅ | | Bid/Ask separated | ❌ | ✅ | | Spread calculation | ❌ (mid only) | ✅ | | Tick volume (bid/ask) | ❌ | ✅ | | Raw 1-minute OHLC | ❌ (often 1min from 5sec) | ✅ (true) | | Max history (major FX) | 5-10 years | 20+ years | | Free for all | ✅ (delayed/limited) | ❌ (tick data public, but parsing needed) |
But what makes this data truly "exclusive" compared to standard broker feeds? This article explores why professional quants prioritize Dukascopy's tick data and how you can leverage it to build more robust trading systems. What is Dukascopy Historical Data?
