Dukascopy+historical+data Exclusive Jun 2026

The data is sourced from the , which aggregates quotes from multiple banks and financial institutions, ensuring real-market depth.

Dukascopy historical data is a premier source for high-quality, tick-level market information used primarily for backtesting trading strategies and technical analysis Provided for free by Dukascopy Bank SA

Restart MT4 and run your Strategy Tester using "Every Tick" mode. Importing into MT5

The data is provided in GMT. You must manually adjust this if your broker uses a different offset (like GMT+2).

This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. dukascopy+historical+data

As a Swiss-regulated bank, Dukascopy provides access to its Swiss Forex Marketplace (SWFX), offering one of the most liquid and transparent data sources available. This article explores why Dukascopy's data is highly regarded, how to access it, and how to leverage it for market analysis. Why Choose Dukascopy Historical Data?

Unlike brokers that only offer 1-minute (M1) bars, Dukascopy provides actual tick data containing individual price changes with millisecond timestamps.

Data is available for many pairs from 2007 to the present.

: The data aggregates tick-level pricing from multiple liquidity sources, representing actual market transactions rather than just indicative quotes from a single broker. The data is sourced from the , which

Data extends far beyond major Forex pairs (EUR/USD, GBP/USD) to include minors, exotics, precious metals, commodities, and stock indices.

: It provides high-quality tick-by-tick quotes , including both bid and ask prices with corresponding volumes.

MT4 is notoriously restrictive with historical data, natively offering lower-quality history center files. To achieve a score in MT4 using Dukascopy data:

Select the desired format, typically CSV, for easy import into tools like Excel, Python (Pandas), or R. Utilizing Dukascopy Data in Trading and Research You must manually adjust this if your broker

To understand Dukascopy’s role, one must first recognize a structural gap in the financial data market. Professional-grade historical tick data from major exchanges or interbank sources—such as Reuters, Bloomberg, or exchanges like CME—is prohibitively expensive for most individual traders and small funds. Licenses can cost tens of thousands of dollars annually, creating a significant barrier to entry. Dukascopy, through its JForex platform and public API, inadvertently bridged this gap. By offering free, downloadable historical tick and minute bar data to anyone who registers for a demo account, Dukascopy democratized access to a previously gated resource. This strategic move, likely intended to drive platform adoption, instead spawned an entire ecosystem of third-party downloaders, conversion scripts, and backtesting libraries (e.g., Python’s dukascopy module, R scripts, and MetaTrader converters).

Data is stored in .bi5 files compressed using LZMA graphics compression.

The software will generate .hst (history bars) and .fxt (tick files for the strategy tester).

Dukascopy historical data is not perfect. It is a second-best solution—a proxy, a shadow of the true institutional tape. But for the vast majority of retail quantitative traders, academic researchers with limited budgets, and even proprietary trading firms in their initial research phase, it is . It transforms an insurmountable cost into a zero marginal cost, converting data from a luxury into a commodity.

Dukascopy Bank is a Swiss online broker known for providing access to the Swiss Foreign Exchange Marketplace (SWFX). Their historical data is highly sought after by quantitative traders for several distinct reasons: