This isn't second-hand data sold by a vendor; it is raw, tick-by-tick data aggregated from Dukascopy’s actual liquidity providers.
Dukascopy historical data is highly regarded in quantitative finance for its transparency and precision, specifically its that provide 99% modeling quality for backtesting. dukascopy historical data exclusive
to select specific instruments, date ranges, and timeframes for download. JForex Platform : Log in to the demo or live version of and navigate to Tools > Historical Data Manager to obtain custom timeframes, such as price-based Third-Party Tools : Applications like This isn't second-hand data sold by a vendor;
When you download Dukascopy historical data, you aren't just getting a timestamp; you are getting a transaction record. This allows for advanced strategies that time-based data cannot support, such as: JForex Platform : Log in to the demo
To understand the exclusivity of Dukascopy’s data, one must first distinguish it from the common broker feed. Most retail brokers offer historical data derived from a single liquidity provider or a consolidated feed of second-tier banks. Dukascopy, however, operates the , an Electronic Communication Network (ECN) that aggregates prices from dozens of global banks, hedge funds, and other market makers. Consequently, its historical data represents a unique cross-section of actual, executable liquidity.
ticker = DukascopyTicker('EURUSD') ticks = ticker.get_ticks_range('2023-06-01', '2023-06-02')
For the quantitative trader, Dukascopy is not merely a broker; it is a historical archive. To have exclusive access to that archive is to see the market not as a smooth line on a chart, but as the jagged, chaotic, and beautiful sequence of human and algorithmic decisions it truly is. In the end, Dukascopy’s data is the ultimate filter: it separates those who trade based on hope from those who trade based on evidence.