Dukascopy+historical+data [portable]

Which (e.g., Python, MT4, MT5) do you plan to use?

Captures the real-time gap between buy and sell prices.

While many brokers offer free historical data, Dukascopy stands apart. Known primarily as a Swiss online bank and Forex broker, Dukascopy has inadvertently become the world’s largest public repository of high-frequency Forex historical data. But what makes their data so special? How do you download it? And crucially, how do you avoid the common pitfalls of timezone misalignments and data gaps?

While Dukascopy data is top-tier, handling it presents specific technical challenges. 1. Storage Requirements

It downloads the raw tick data, decompresses it, and automatically converts it into .fxt and .hst files used by MetaTrader 4. dukascopy+historical+data

How can traders and analysts leverage this resource?

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.

Pro Tip: For large tick data exports (e.g., 1 year of EUR/USD ticks), the platform may throttle or time out. It is better to export in 1-3 month chunks.

: Most currency pair data begins around 2003–2006 , with some instruments dating back to 1990–2000. Which (e

: Seconds (5s, 15s, 30s), Renko, Kagi, and Line Break charts. Market Depth

Select the GMT time zone of your broker (most brokers use GMT+2 or GMT+3 with Daylight Savings Time). Step 3: Download the Data

Another widely used tool designed specifically to bridge the gap between Dukascopy data and MetaTrader 4. It automates the process of generating .fxt and .hst files for 99.9% backtesting quality. Method 3: Python Scripting (For Developers)

Click "Export." Note: This may take 10–15 minutes. Do not touch your computer. Known primarily as a Swiss online bank and

Dukascopy provides true tick data, capturing every single bid and ask price change, rather than just 1-minute bars.

Right-click on the chart and navigate to > Export Data .

Which or language are you using? (e.g., MT4, MT5, Python)

The data is aggregated into multiple timeframes: