Dukascopy Historical Data Exclusive [ HD 2025 ]

Once decompressed, the raw binary file exposes a continuous array of 20-byte structs. Every 20 bytes represents a single market tick, structured as follows: Offset (Bytes) Description 32-bit Integer Milliseconds passed since the start of the hour 4 - 7 32-bit Integer Ask Price (Multiplied by a point factor, e.g., 100,000) 8 - 11 32-bit Integer Bid Price (Multiplied by a point factor, e.g., 100,000) 12 - 15 32-bit Float Ask Volume (In millions of units) 16 - 19 32-bit Float Bid Volume (In millions of units) How to Extract and Convert Dukascopy Data

Most retail platforms provide OHLCV (Open, High, Low, Close, Volume) data on a 1-minute or 1-hour basis. While this is sufficient for basic trend following, it is a death sentence for high-frequency strategies, scalping models, or any system that relies on real market microstructure. Standard data suffers from three fatal flaws:

Dukascopy Historical Data Exclusive: The Ultimate Guide to Free, Tick-by-Tick Market Logs dukascopy historical data exclusive

: Widely used for generating .fxt and .hst files for MetaTrader.

While stored as ticks, the data can be compressed into seconds, minutes, hours, or daily bars without losing accuracy. Once decompressed, the raw binary file exposes a

Unlike many premium data feeds, Dukascopy’s detailed historical feed is available free of charge through several official and community tools. Methods to Access and Export Data

While the data is premium quality, working with raw tick infrastructure requires specific considerations: Standard data suffers from three fatal flaws: Dukascopy

The manual downloader on Dukascopy's website often limits you to one day of tick data at a time .

Which (e.g., MetaTrader 4, MetaTrader 5, Python, QuantConnect) you plan to use. The specific assets or currency pairs you intend to test.