Dukascopy+historical+data

start = datetime(2024, 1, 1) end = datetime(2024, 12, 31)

The Ultimate Guide to Dukascopy Historical Data: Downloading, Processing, and Backtesting

df = dukascopy_python.fetch(instrument, interval, offer_side, start, end) dukascopy+historical+data

Data is stored in .bi5 files compressed using LZMA graphics compression.

Which (e.g., Python, MT4, MT5) do you plan to use? start = datetime(2024, 1, 1) end = datetime(2024,

No discussion of Dukascopy data is complete without a sober assessment of its quality. The data is . It reflects the bid/ask prices on Dukascopy’s own liquidity pool and its relationship with its liquidity providers (e.g., Credit Suisse, J.P. Morgan, UBS). This means the data is a consolidated snapshot of one broker’s execution environment, not a true “tape” of the entire interbank market.

Dukascopy offers several methods to retrieve data, ranging from simple point-and-click GUI downloads to programmatic access for developers. The data is

Beyond Forex, they provide data for indices, commodities, cryptocurrencies, and individual stocks.

(Invoking related search terms per assistant guidelines.)