Dukascopy Historical Data !!link!! Guide

: Includes Forex (majors and crosses), Commodities (Gold, Silver, Energy), Indices (S&P 500, DAX 30), Stocks (major EU and US markets), and Crypto CFDs. Timeframes : Available from raw tick-by-tick data to monthly bars. Data Quality

If you are building a machine learning model to predict the next 1-minute move, Dukascopy is arguably the best free source of training data available to the public.

Open your downloader of choice, choose your desired currency pairs (e.g., GBP/USD), and set the historical range (e.g., 2018 to 2026).

Files are stored inside a strict URL folder hierarchy: Year/Month/Day/Hour_ticks.bi5 . dukascopy historical data

Amount of liquidity available at the Bid price (in millions). How to Download and Extract the Data

Dukascopy provides a high-quality Historical Data Feed that is free for traders and analysts. It is primarily used for technical analysis and backtesting trading strategies with granular, institutional-grade precision. Key Features

: Data can be exported as .csv , .hst (for MetaTrader), or .json (for Expert Advisor Studio). How to Access Historical Data : Includes Forex (majors and crosses), Commodities (Gold,

To access Dukascopy's historical data, you'll need to create an account with the platform. Here are the steps:

This article is a deep dive into everything you need to know about Dukascopy Historical Data: what it is, how to get it, its quality, limitations, and how to use it for professional backtesting.

However, the utility of Dukascopy historical data extends beyond mere price feeds; it also serves as an educational and technological bridge for aspiring quants. The data is readily accessible through the JForex trading platform and various APIs, often available for free or with minimal restrictions. This accessibility has fostered a massive community of independent developers. For many retail traders making the transition from discretionary trading to algorithmic systems, Dukascopy data serves as their first introduction to serious backtesting. The bank offers data spanning decades, covering major, minor, and exotic currency pairs, as well as CFDs on commodities and indices. This breadth allows for the testing of strategies across different market conditions, including financial crises and periods of low volatility. Open your downloader of choice, choose your desired

You don't always need ticks. Resample to your desired timeframe.

Here is a simple, end-to-end workflow for a Python-based quantitative researcher using Dukascopy data: