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The Ultimate Guide to Dukascopy Historical Data: Downloading, Processing, and Backtesting
Unlike institutional feeds that cost thousands of dollars per month, Dukascopy allows anyone to download their historical data completely free of charge directly from their servers. How to Download Dukascopy Historical Data dukascopy historical data
As a trader and developer, I often require reliable and accurate historical data to backtest my trading strategies and analyze market trends. Dukascopy, a well-known Swiss-based forex broker, offers a vast repository of historical data that has become an essential resource for my work. In this review, I'll share my experience with Dukascopy's historical data and highlight its strengths and weaknesses.
npx dukascopy-node -i btcusd -from 2019-01-13 -to 2019-01-14 -t tick -f csv : The Ultimate Guide to Dukascopy Historical Data:
Strategies appear highly profitable in simulations but fail instantly in live markets.
When conducting advanced backtests, it is important to be aware of potential pitfalls, such as look-ahead bias or data-snooping. For high-frequency tick data, processing can be very slow. The Dukascopy community suggests "three simple tricks that can hugely speed up your historic backtesting," such as only processing ticks that result in a price move beyond a minimum threshold, which drastically reduces the number of ticks processed without compromising accuracy for many strategies. In this review, I'll share my experience with
Dukascopy's historical data covers a wide range of financial instruments and can be retrieved at various levels of granularity:
For analysts and data scientists who prefer Python, a rich ecosystem of open-source libraries has been built around downloading and processing Dukascopy data. These libraries simplify the process of fetching data and loading it directly into , the industry standard for data analysis.
Spot Gold (XAU/USD), Silver (XAG/USD), Crude Oil, and Natural Gas.