Using the tick data, you can see exactly how many milliseconds it took for price to move from 1.1000 to 1.1001. You can model realistic limit order fills. Most backtesters assume instant fill at the limit price; Dukascopy data allows you to calculate probability of fill .
Let’s assume you want to backtest a Moving Average crossover strategy on GBP/JPY from 2015 to 2020 using 1-minute data. dukascopy+historical+data
: Commodities (Energy, Metals like XAU/USD), Global Indices (S&P 500, DAX), Bonds, and ETF CFDs. Stocks : Equities from various European markets and the US. Cryptocurrencies : Popular crypto CFD pairs. Data Formats and Timeframes Using the tick data, you can see exactly
AI responses may include mistakes. For financial advice, consult a professional. Learn more Let’s assume you want to backtest a Moving
Dukascopy uses an Electronic Communication Network (ECN) model. Their historical data is not a single bank's feed but an aggregated stream of liquidity from multiple Tier-1 banks. This makes the data more realistic than single-source feeds.
: Considered highly accurate because it represents real market conditions from an institutional-grade liquidity provider. Limitations : Some users report occasional