Dukascopy+historical+data 99%

Dukascopy provides free (for personal use) high-frequency historical market data for:

The data is sourced from the Dukascopy Liquidity Pool, which aggregates quotes from multiple banks and financial institutions, ensuring real-market depth.

To understand the value, you must compare Dukascopy against the other "free" giants.

The Verdict: For tick data, Dukascopy is the outright winner. For daily closing prices, Yahoo Finance is easier, but Dukascopy is more accurate.

The data is generally very clean. I have found very few gaps or outliers in major pairs (EURUSD, GBPUSD, USDJPY) going back over a decade.

Download the 1-minute data around NFP (Non-Farm Payroll) releases. By isolating the 1-minute bar containing the 8:30 AM news release, you can quantify the average slippage and volatility spike. This tells you exactly how wide your stop loss needs to be during news events. The data is sourced from the Dukascopy Liquidity

Unlike some free sources, Dukascopy includes instruments that are no longer actively traded, giving a truer historical picture.

The core value proposition of Dukascopy historical data lies in its granularity and temporal flexibility. At its finest level, Dukascopy provides tick data—each individual price change reported for a given instrument. For major forex pairs (EUR/USD, GBP/JPY, etc.), this can mean thousands of data points per second during liquid periods. For retail traders, this tick-level precision is indispensable for backtesting high-frequency strategies, analyzing slippage, or modeling market impact.

However, raw tick data is unwieldy. Dukascopy’s true genius is its pre-processed, multi-resolution storage system. The data is organized into .bi5 binary files, each typically containing one minute’s worth of tick data. Using a custom lossless compression algorithm, the bank allows users to reconstruct any timeframe: 1-minute, 5-minute, 1-hour, daily, and even irregular custom bars (e.g., tick bars, range bars, volume bars). This architecture means a user can download a single minute file and, from it, algorithmically generate any higher timeframe. The data’s inherent OHLCVT (Open, High, Low, Close, Volume, Tick count) structure ensures that key statistical properties of price movement are preserved across aggregations. This rich ecosystem means that a trader’s skill

Accessing the data originally required using Dukascopy’s proprietary JForex platform’s “Historical Data” exporter—a clunky Java application. However, the open-source community has transformed accessibility. The most common method today is via the dukascopy Python library (often dukascopy-tick-downloader or similar forks) which interfaces directly with Dukascopy’s public HTTP API. A typical script can, in minutes, download 10 years of 1-minute bars for EUR/USD and save it as a CSV or Parquet file. Other tools include:

This rich ecosystem means that a trader’s skill barrier is no longer data acquisition, but data cleaning—handling missing minutes, stitching together split files, and adjusting for the SNB anomaly.

In the world of quantitative finance, backtesting, and algorithmic trading, the quality of your output is directly proportional to the quality of your input data. For retail traders and institutional quants alike, finding a reliable, granular, and genuinely free source of historical tick data is a significant challenge. Dukascopy, a Swiss online bank and forex broker, has emerged as the industry’s gold standard for this purpose through its Dukascopy Historical Data Feed (often accessed via their JForex platform).