Dukascopy+historical+data 〈8K〉

The data is aggregated into multiple timeframes:

Dukascopy historical data refers to the vast collection of past market data, including prices, quotes, and other relevant information, that is stored and made available by Dukascopy. This data spans multiple financial instruments, including forex, stocks, indices, and commodities, and can be accessed for various timeframes, ranging from minutes to years. The historical data provided by Dukascopy is renowned for its accuracy, completeness, and reliability, making it a trusted source among traders and researchers.

within the JForex system allows for custom timeframe downloads, such as Renko charts. JForex SDK & API : Developers can use the JForex API dukascopy+historical+data

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

Dukascopy provides a high-quality Historical Data Feed used primarily for strategy development and backtesting. It is known for its transparency and for providing the same data feed to all clients regardless of account size. Core Features The data is aggregated into multiple timeframes: Dukascopy

While Dukascopy’s data is exceptional, it is not perfect.

This is where Dukascopy truly shines for quants and developers. The community and Dukascopy provide several options to automate data retrieval: within the JForex system allows for custom timeframe

For researchers and quantitative developers, automating the data acquisition is crucial. Users can utilize Python libraries designed to interface with the Dukascopy historical data feed to download vast amounts of data efficiently. Structuring the Data for Analysis

The data is generally very clean. I have found very few gaps or outliers in major pairs (EURUSD, GBPUSD, USDJPY) going back over a decade.

to programmatically retrieve historical bars and ticks using the interface. External Extensions : Open-source tools like TheoryCraft Dukascopy