Dukascopy Historical Data — !!better!!

Click , close MT4, and navigate to your MT4 installation folder.

(Third-party tools)

| Data Type | Description | |-----------|-------------| | Tick Data | Individual trades or price updates, captured with millisecond timestamps | | Bar Data | Aggregated OHLCV data for any custom timeframe | | Volume Data | Trading volume at bid and ask prices | | Order History | Historical order records for account analysis |

Dukascopy historical data bridges the gap between retail trading limitations and institutional-grade testing. By leveraging tick-by-tick data with true bid/ask spreads, you eliminate the guesswork from your algorithmic trading strategies. Whether you import it into MetaTrader using Tickstory or process it using Python for custom machine learning models, this free resource is essential for any serious quantitative trader. dukascopy historical data

: Coverage includes Forex (major and exotic), Commodities (gold, silver, oil), Indices, Stocks, ETFs, Bonds, and Crypto CFDs.

A popular free GUI software that downloads Dukascopy data, handles timezone shifts, and exports directly to CSV, MetaTrader 4 (.fxt/.hst), or MetaTrader 5 formats.

Because Dukascopy operates as an ECN (Electronic Communication Network), the data reflects real market liquidity and spreads rather than artificial broker markups. Click , close MT4, and navigate to your

For tick data, each row represents a single bid/ask tick or trade.

Dukascopy’s proprietary trading platform, JForex, allows users to export historical data directly through its built-in Development Environment. You can write simple Java strategies designed solely to request historical bars or ticks and print them straight to local CSV files. Preparing Data for Backtesting Platforms

Data is organized on Dukascopy's servers by asset, year, month, day, and hour: [Asset]/[Year]/[Month-1]/[Day]/[Hour]h_ticks.bi5 Whether you import it into MetaTrader using Tickstory

Key features include:

Dukascopy acts as an ECN (Electronic Communication Network) aggregator. Their data is an aggregate of liquidity providers. While no data is perfect, Dukascopy data is famous for being "clean enough" for professional retail strategy development. It filters out obvious bad ticks (spikes) while preserving the microstructure of price action.