Data - Dukascopy Historical

A popular free GUI software that downloads Dukascopy data, handles timezone shifts, and exports directly to CSV, MetaTrader 4 (.fxt/.hst), or MetaTrader 5 formats.

Dukascopy offers the closest thing to "Institutional Grade" data for free. It has imperfections (weekend gaps, server load limits), but for the retail trader with a little technical skill, it is a treasure trove.

: Ranges from tick-by-tick data to 1-minute, hourly, daily, and monthly bars. Data Quality : Includes both

Once decompressed, the file contains a structural binary array. Structure: Each tick record consists of 20 bytes: Milliseconds since the start of the hour (4 bytes) Ask Price multiplied by 100,000 (4 bytes) Bid Price multiplied by 100,000 (4 bytes) Ask Volume in millions (4 bytes) Bid Volume in millions (4 bytes)

for free, primarily used for backtesting trading strategies across Forex, commodities, indices, and stocks. Dukascopy Bank SA Key Data Features Asset Coverage dukascopy historical data

Unlocking Market Insights with Dukascopy Historical Data In the world of algorithmic trading, your strategy is only as good as the data you test it on. Dukascopy Bank

Data available in tick, 1-minute (M1), 1-hour, and daily (D1) resolutions.

. Sourced from their ECN liquidity pool, this data includes detailed tick-by-tick quotes dating back 15+ years. Dukascopy Bank SA Core Features Asset Coverage

While Dukascopy provides the data free of charge, you cannot redistribute the raw tick data for commercial resale (i.e., don't download 500GB and sell it on eBay). However, using the data to train a trading bot or generate signals for your own trading is perfectly acceptable. A popular free GUI software that downloads Dukascopy

There are three primary ways to retrieve historical data from Dukascopy: 1. The Web Portal (Manual Download) For quick analysis, use the Dukascopy Historical Data Feed : Single-day downloads or small datasets. : The web portal typically limits tick data downloads to one day at a time 2. JForex Platform (Built-in Manager)

Launch MT4 with disconnected internet access to prevent the broker from overwriting your high-quality offline files. Python Backtesting Frameworks (Backtrader, Vectorbt)

: Developers use the IHistory interface to programmatically retrieve prices and order history within the JForex SDK.

Additionally, watch for:

bi5 files? Do you want to see the specific format required for ? Alternatively, we can discuss how to implement a slippage model to account for the spread variances we discussed.

Dukascopy provides historical forex, CFD, and crypto market data (tick, 1-minute, and higher aggregation intervals) collected from its JForex platform and liquidity providers. Data is widely used for backtesting, research, and algorithmic trading.

What (raw ticks, 1-minute bars, higher timeframes) does your strategy require?