Dukascopy Historical Data Portable

To achieve the coveted score in MetaTrader 4 using Dukascopy data, follow this general execution path:

This method allows for custom timeframes, such as price-based Renko bars. Developer API & Scripting IHistory Interface : Developers can use the IHistory Javadoc

Dukascopy stands out by offering deep market depth and high precision that most retail brokers lack.

What you are testing (Forex majors, crypto, indices, commodities)?

If you have already downloaded your Dukascopy data, I can help you: Format the data for use in Python (Pandas) or MetaTrader. Run a basic backtest using the raw tick data. dukascopy historical data

Tick data records every single price change (bid/ask shift) as it happens. This granularity allows you to model real slippage, spread widening, and order execution accurately. What Makes Dukascopy Data Unique?

: Includes major currency pairs, precious metals, energy, and stock indices. Timeframes

Includes FX majors/minors, metals (Gold/Silver), energy (Oil), global indices, and selected individual stocks/ETFs.

Node.js usage:

Launch MT4 through the downloader tool to bypass standard broker data overwrites. MetaTrader 5 (MT5)

While the data is free and accurate, downloading it directly from Dukascopy’s raw servers comes with a few technical hurdles. 1. File Structure and Compression

data = Dukascopy().get_instrument('EUR/USD', 'M1', start='2020-01-01', end='2020-12-31') print(data.head())

While they offer Crypto CFDs, the historical data is significantly shorter (usually only a few years) compared to their Forex archives. To achieve the coveted score in MetaTrader 4

If you are a programmer, you can use the unofficial jforexapi or scrape the Dukascopy JSON endpoint. However, the easiest coding method is using the dukascopy Python library:

While institutional-grade tick data providers charge thousands of dollars, Dukascopy makes this data publicly available for download.

: Global stock indices like the S&P 500, DAX, and FTSE. Commodities : Gold, Silver, Crude Oil, and Brent.

df = dukascopy_python.fetch( instrument=INSTRUMENT_FX_MAJORS_EUR_USD, interval=dukascopy_python.INTERVAL_MIN_15, offer_side=dukascopy_python.OFFER_SIDE_BID, start=start, end=end, ) If you have already downloaded your Dukascopy data,