For tick data, each row represents a single bid/ask tick or trade.
Launch MT4 through the downloader tool to bypass standard broker data overwrites. MetaTrader 5 (MT5)
Access real tick data (bid/ask) and minute-level data.
Dukascopy Bank, a regulated Swiss financial service provider, offers one of the most comprehensive and prestigious historical tick data repositories in the world—completely free of charge. This guide explores what makes Dukascopy historical data a gold standard for traders and how you can download, process, and utilize it effectively. Why Historical Data Quality Matters
Open MT4, open the Strategy Tester, select your EA, and choose as the model method. You will notice the modeling quality bar turns solid green, indicating a flawless 99.9% precise simulation. Limitations and Practical Considerations dukascopy historical data
: User reports from the Dukascopy support board indicate occasional data corruption or anomalies. For example, one user found that the close price of a previous bar retrieved via the IHistory API was incorrect when queried via onTick() , while the next bar's open price was correct. While such issues are often resolved, they serve as a reminder to always verify critical data points.
The data reflects Dukascopy’s specific ECN pool. While it closely matches the broader interbank market, minor price differences may exist compared to other major retail brokers like OANDA or IC Markets.
Traders can access this data through several official and third-party methods: 1. Official Web-Based Export Tool
: This method is essential for algorithmic traders and quantitative researchers who need to programmatically access historical data for strategy development, automated backtesting, or building custom charting tools. The JForex SDK includes examples for testing strategies on historical data and running them in visual mode. For tick data, each row represents a single
QuantDataManager by StrategyQuant is one of the most user-friendly tools for managing Dukascopy data. It features a clean graphical user interface (GUI) that allows you to select assets, choose a date range, and export the data into CSV, MetaTrader 4, or MetaTrader 5 formats. It also includes built-in tools to convert tick data into custom timeframes (like M1, M5, or H4) with custom timezone offsets. 2. Tickstory
using Python’s built-in lzma module. Unpack the 20-byte structs using the struct library.
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Click , close MT4, and navigate to your MT4 installation folder. You will notice the modeling quality bar turns
Dukascopy data reflects Dukascopy's liquidity. If your live broker has significantly wider spreads, different swap rates, or a slower execution engine, your live trading results may deviate slightly from your backtest.
High data integrity means fewer phantom spikes or missing gaps compared to standard retail feeds. Understanding the Raw Data Format
Use a tool like Tickstory or QuantDataManager to select your desired currency pair (e.g., EURUSD) and the specific date range. Download the data as "Tick Data." Step 2: Clear Existing MetaTrader History Open MT4 and go to .
function to import downloaded CSV files directly into a spreadsheet. Dukascopy Bank SA Usage Considerations Forex Historical Data Feed :: Dukascopy Bank SA
Accurate historical data is the backbone of any successful algorithmic trading strategy. In the Forex market, finding high-quality, tick-level data without paying a premium subscription fee is a notoriously difficult challenge.