!new!: Dukascopy+historical+data

Traders can customize data downloads based on their technical needs:

MT4 uses the FXT format. You will need a third-party converter like Tick Data Suite or Forex Tester to map the Dukascopy CSV to MT4’s proprietary structure.

The accessibility of this data further sets Dukascopy apart. Through their "JForex" platform and dedicated web portals, users can download historical datasets for free. While many institutional-grade data providers charge significant subscription fees for tick-level history, Dukascopy remains a go-to resource for the retail and independent quant community. The data is typically available in various formats, such as CSV or binary files, making it compatible with a wide range of analytical tools including Python, R, and specialized backtesting software like Tick Data Suite or StrategyQuant. dukascopy+historical+data

: Options range from raw tick data to periodic bars (M1, M5, H1, daily, and monthly).

Dukascopy historical data is widely considered the gold standard for forex traders, quantitative analysts, and developers. Unlike many brokers that provide filtered or "smoothed" data, Dukascopy offers raw, tick-by-tick market information directly from their Swiss FX Marketplace (SWFX). This level of precision is essential for building robust trading strategies and conducting accurate backtesting. Why Traders Choose Dukascopy Data Traders can customize data downloads based on their

The standardized URL structure for fetching raw hourly files looks like this: https://dukascopy.com[INSTRUMENT]/[YEAR]/[MONTH-1]/[DAY]/[HOUR]h_ticks.bi5

A popular free desktop application with a clean UI. It downloads Dukascopy data, allows you to configure custom time zones, and exports directly to formats compatible with MetaTrader, NinjaTrader, and TradeStation. Through their "JForex" platform and dedicated web portals,

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Many competing services offer "snapshot" data—a single price every second. Dukascopy provides actual tick data derived from their liquidity aggregator. This is vital for backtesting slippage. If your strategy profits on a 1-hour chart but loses in a tick-by-tick simulation due to spread widening, Dukascopy data will reveal this flaw; manipulated data will not.