Tick-Level Precision: Unlike many brokers that only provide bar data (M1, H1), Dukascopy offers tick-by-tick quotations . This allows for a 99.9% modeling quality in backtests, which is critical for scalping or high-frequency strategies .
Deep History: You can access over 15 years of history for major Forex pairs, commodities, and indices .
Bid/Ask Inclusion: Their data includes both bid and ask prices, allowing you to account for real-world spreads during testing . The "Good & Bad" of the Data Feed Pros Cons
Institutional Quality: Sourced from real ECN liquidity, not just a retail server .
Web Interface Limits: The manual downloader on Dukascopy's website often limits you to one day of tick data at a time .
Cost: Completely free; you don't even need a live account to download from the web tool .
Formatting: Data is in .csv or .hst formats, which may require manual conversion or third-party tools to work with MT4/MT5 . dukascopy historical data exclusive
Flexibility: Supports custom timeframes (e.g., 5-second or 10-minute bars) .
Speed: Downloading large datasets (years of tick data) can be extremely slow without automation . How Most Professionals Use It
Because the manual web tool is slow for years of data, serious traders typically use Third-Party Downloaders to pull this "exclusive" data more efficiently:
Top 12 Sources to Download Forex Historical Data (Free & Paid)
Most free data sources provide OHLCV (Open, High, Low, Close, Volume) data in 1-minute or 1-hour increments. This is fine for swing trading, but for high-frequency trading (HFT) or scalping strategies, it is useless.
Dukascopy offers raw tick data. This means you see every single price change that occurred in the market. This level of granularity allows backtests to account for slippage, spread widening, and liquidity gaps with near-perfect accuracy. Tick-Level Precision: Unlike many brokers that only provide
| 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) |
The biggest hurdle for traders isn't finding data; it's finding clean data.
Raw historical data is often riddled with errors: outliers, time-zone misalignments, and gaps in reporting. Part of the "exclusivity" of working with premium historical datasets is the preprocessing work required.
To utilize Dukascopy data effectively, one must often:
Traders who possess these clean, pre-processed datasets possess a significant edge over those using "dirty" free feeds.
Because Dukascopy’s native tools can be cumbersome, a community of developers has created tools to fetch this data programmatically. Fill Gaps: Ensure continuous time-series data
dukascopy on PyPI allow users to download historical data programmatically by scraping or utilizing direct internal API calls.histdata.com often repackage Dukascopy data for easier download.Because Dukascopy data is raw and unfiltered, it includes broker-specific liquidity gaps. In the live market, during news events (like NFP or FOMC), Dukascopy’s ECN might show a 20-pip gap with zero trades for 500 milliseconds.
Is this a bug? No. It is an exclusive feature.
Many vendors "fill" these gaps with artificial data to make the chart look pretty. Dukascopy refuses to do this. If no trade happened in the Swiss FX Marketplace, the data shows a gap. This honesty protects you as a trader. If your algorithm relies on stop-losses during volatile news, backtesting on "filled" data will give you false confidence. Backtesting on exclusive Dukascopy gapped data will show you the brutal reality.
The price of Dukascopy Historical Data Exclusive can range from $0 (if you write your own downloader and have a live account) to several hundred dollars for a fully curated, multi-year dataset from a vendor.
For the retail trader watching YouTube and trading micro-lots, the answer is no. You do not need tick data. For the quantitative fund, the proprietary trading firm, or the serious retail scalper managing six figures, the answer is a resounding yes.
Why? Because the cost of being wrong is higher than the cost of the data. If your strategy fails due to hidden tick data, you lose capital. Paying for exclusive, authentic Dukascopy historical data is an insurance premium against backtest overfitting.