Dukascopy: Historical Data

Open your chosen download tool and select the symbol (e.g., EURUSD).

The URL path uses a zero-indexed month (e.g., January is 00 , December is 11 ).

Major stocks from the US, UK, Germany, and Switzerland.

Dukascopy provides high-precision historical data for 1,600+ instruments dukascopy historical data

AI responses may include mistakes. For financial advice, consult a professional. Learn more Share public link

Most free historical data sources only provide the "Bid" price or a "Mid" price, forcing traders to simulate or guess the spread. Dukascopy saves both the Bid and Ask prices for every tick. This feature is critical for understanding the true cost of trading during high-volatility events, such as news releases or market opens. Massive Asset Coverage

While institutional data providers charge thousands of dollars for tick-level data, Dukascopy makes its historical repository public and free to download, even if you do not hold a live account with them. Methods to Download Dukascopy Historical Data Open your chosen download tool and select the symbol (e

Dukascopy is a regulated Swiss forex bank and marketplace known for its deep liquidity and tight spreads. Because they operate an Electronic Communication Network (ECN) marketplace, their historical data reflects real, tradable market prices rather than simulated or smoothed broker feeds. True Tick-by-Tick Precision

It includes actual marketplace liquidity and volume data for each price change.

This library allows fetching both historical and live price data from Dukascopy. It supports various financial instruments and provides data in pandas DataFrame format for easy analysis. Dukascopy saves both the Bid and Ask prices for every tick

Select this custom symbol inside the MT5 Strategy Tester for flawless modeling. Best Practices and Common Pitfalls

Raw ticks are rarely fed directly into trading platforms. Depending on your software of choice, you must convert the data into specific formats.

Tick data files can be massive, easily reaching gigabytes for a single pair over a few years. For standard strategies, you will want to resample these ticks into Open, High, Low, Close (OHLC) candles using Pandas.

Open your chosen download tool and select the symbol (e.g., EURUSD).

The URL path uses a zero-indexed month (e.g., January is 00 , December is 11 ).

Major stocks from the US, UK, Germany, and Switzerland.

Dukascopy provides high-precision historical data for 1,600+ instruments

AI responses may include mistakes. For financial advice, consult a professional. Learn more Share public link

Most free historical data sources only provide the "Bid" price or a "Mid" price, forcing traders to simulate or guess the spread. Dukascopy saves both the Bid and Ask prices for every tick. This feature is critical for understanding the true cost of trading during high-volatility events, such as news releases or market opens. Massive Asset Coverage

While institutional data providers charge thousands of dollars for tick-level data, Dukascopy makes its historical repository public and free to download, even if you do not hold a live account with them. Methods to Download Dukascopy Historical Data

Dukascopy is a regulated Swiss forex bank and marketplace known for its deep liquidity and tight spreads. Because they operate an Electronic Communication Network (ECN) marketplace, their historical data reflects real, tradable market prices rather than simulated or smoothed broker feeds. True Tick-by-Tick Precision

It includes actual marketplace liquidity and volume data for each price change.

This library allows fetching both historical and live price data from Dukascopy. It supports various financial instruments and provides data in pandas DataFrame format for easy analysis.

Select this custom symbol inside the MT5 Strategy Tester for flawless modeling. Best Practices and Common Pitfalls

Raw ticks are rarely fed directly into trading platforms. Depending on your software of choice, you must convert the data into specific formats.

Tick data files can be massive, easily reaching gigabytes for a single pair over a few years. For standard strategies, you will want to resample these ticks into Open, High, Low, Close (OHLC) candles using Pandas.