Dukascopy Historical Data

# Using the Dukascopy Connector library from dukascopy import Dukascopy client = Dukascopy() # Fetch 1-minute data for 2023 data = client.get_instrument_history('EUR/USD', 'M1', '2023-01-01', '2023-12-31') data.to_csv('dukascopy_eurusd_2023.csv')

for major currency pairs, providing a robust dataset for long-term backtesting. Accessibility and Versatility dukascopy historical data

Before you set up a script to download every tick since 2003, understand the rules. # Using the Dukascopy Connector library from dukascopy

Use Dukascopy historical data with Tickstory (Windows) or the Python dukascopy library. For production-grade backtesting, always compare a small sample against another source (e.g., TrueFX) to spot anomalies. TrueFX) to spot anomalies.