Dukascopy+historical+data < Quick - 2025 >

Download EUR/USD and GBP/USD tick data. Align the timestamps millisecond-perfect. You can run a Pearson correlation test to find periods where the pairs decouple, allowing for statistical arbitrage (Pairs Trading).

While Dukascopy’s data is exceptional, it is not perfect.

Data typically begins around 2003–2004 for major pairs, though quality and tick density improve significantly after 2007.

Choose Dukascopy historical data if:

Avoid Dukascopy if:

In summary, Dukascopy has democratized access to tick-level Forex data. While not flawless, it remains the most trusted free source for serious backtesting outside of institutional circles. Combine it with a robust data pipeline (Python + Pandas), and you have a foundation that rivals expensive professional feeds.

Disclaimer: This information is for educational purposes. Dukascopy’s data terms of service should be reviewed before automated downloading or redistribution.

Dukascopy Historical Data

Dukascopy provides historical data for various financial instruments, including forex, commodities, indices, and cryptocurrencies. The data is available in several formats, including:

Features of Dukascopy Historical Data

Here are some key features of Dukascopy's historical data:

Data quality: Dukascopy's historical data is sourced from their own trading servers, ensuring high-quality and accurate data.

Accessing Dukascopy Historical Data

To access Dukascopy's historical data, follow these steps:

Alternatively, you can use Dukascopy's API to access historical data programmatically.

Tips and Limitations

Dukascopy is widely recognized in the financial industry for providing one of the most robust and accessible repositories of historical tick data. This data is a cornerstone for algorithmic traders, quantitative analysts, and strategy developers who require high-precision market information to build, backtest, and optimize trading systems. Unlike standard bar or candle data, Dukascopy’s historical data offers a granular look at every individual price change, providing a level of detail that is essential for modern electronic trading.

One of the primary advantages of Dukascopy’s historical data is its sheer depth and precision. The bank provides tick-by-tick data for a vast array of instruments, including major and minor forex pairs, commodities, and stock indices. Because this data includes both bid and ask prices at the millisecond level, it allows traders to simulate "slippage" and spread costs with extreme accuracy. This is particularly vital for high-frequency trading (HFT) and scalping strategies, where even a half-pip difference can determine whether a strategy is profitable or failing.

The accessibility of this data further sets Dukascopy apart. Through their "JForex" platform and dedicated web portals, users can download historical datasets for free. While many institutional-grade data providers charge significant subscription fees for tick-level history, Dukascopy remains a go-to resource for the retail and independent quant community. The data is typically available in various formats, such as CSV or binary files, making it compatible with a wide range of analytical tools including Python, R, and specialized backtesting software like Tick Data Suite or StrategyQuant.

However, utilizing such massive datasets comes with technical challenges. Tick data for a single currency pair over several years can result in files several gigabytes in size. Processing this information requires significant computational power and efficient data management strategies. Traders must also be aware of "data holes" or occasional spikes that can occur in any historical feed; therefore, rigorous data cleaning and normalization remain necessary steps before any serious backtesting begins.

In conclusion, Dukascopy’s historical data is an invaluable asset for the global trading community. By offering high-fidelity, tick-level information across a broad spectrum of financial instruments, it bridges the gap between retail traders and institutional-grade analysis. Whether used for simple chart studies or complex machine learning models, this data provides the empirical foundation necessary to navigate the complexities of the modern financial markets.

Dukascopy provides high-quality, free historical data that is widely considered the industry standard for retail traders, particularly for backtesting algorithmic strategies. Data Quality and Coverage

Resolution: Offers data down to the tick level, providing the granular detail necessary for high-accuracy backtesting.

Reliability: Frequently cited as the "best retail data feed," with quality reaching 99% in strategy tests.

Assets: Extensive coverage includes 61 currency pairs, 18 cryptocurrencies, 13 commodities, 22 indices, and over 1,000 equity CFDs.

Depth: Data for most major pairs typically dates back to roughly 2003–2007. Accessibility and Methods

Free Access: The Dukascopy Historical Data Feed tool is free for public use after creating a basic account with an email and password.

JForex Platform: Users can download more specialized timeframes (e.g., Renko charts) via the "Historical Data Manager" in the JForex 4 trading platform.

Third-Party Tools: Many popular backtesting software packages, such as Tick Data Suite and StrategyQuant, use Dukascopy as their primary underlying data source. Critical Considerations

Download Limitations: The web portal restricts users to downloading only one day of tick data at a time, which is tedious for multi-year datasets. dukascopy+historical+data

Timezone Management: Users must manually adjust the GMT offset during download to ensure compatibility with their specific broker or platform settings (like MT4/MT5).

Maintenance Required: While high quality, some users report that raw ticks may still require "cleaning" or synchronization of bid/ask bars for the most precise results.

Programmatic Access: For large volumes, developers often use open-source Python scripts to automate the batch downloading process. Forex Historical Data Feed :: Dukascopy Bank SA

Dukascopy historical data is widely regarded as the "gold standard"

for retail algorithmic trading due to its high-resolution, tick-level granularity. Sourced from the bank’s ECN liquidity pool, this dataset allows traders to reconstruct market movements with precision, covering over of history for major currency pairs. NYCServers Data Composition and Quality Granularity : Provides tick-by-tick data, including both Bid and Ask

prices, which is essential for accurate spread modeling during backtests. Asset Coverage

: Extends beyond Forex to include commodities, indices, metals, and cryptocurrencies. Reliability

: Considered highly accurate because it represents real market conditions from an institutional-grade liquidity provider. Limitations : Some users report occasional

or "glitches" in artificial tick volume, though it remains a preferred proxy for real transaction volume. Dukascopy Bank SA Access and Retrieval Methods Web-Based Feed : Accessible via the Dukascopy Historical Data Feed tool for free downloads in JForex Platform : The "Historical Data Manager" within the platform offers more custom timeframes, such as price-based Renko bars Automated/Scripted Access : Data is stored in

(LZMA compressed) binary files on Dukascopy's servers, which can be programmatically retrieved and extracted. Third-Party Tools : Software like or StrategyQuant's Quant Data Manager

simplifies the process of downloading and converting data for use in MetaTrader 4/5 Dukascopy Bank SA Strategic Applications Forex Historical Data Feed :: Dukascopy Bank SA

Dukascopy is widely recognized for offering some of the highest-quality historical price data

in the retail trading industry, specifically for its resolution and depth. Dukascopy Bank SA 💎 Key Features of Dukascopy Historical Data 📊 Unmatched Data Granularity

Unlike many brokers that only provide minute-level data, Dukascopy offers: Tick-by-Tick Data Download EUR/USD and GBP/USD tick data

: Authentic high-resolution quotes including Bid, Ask, and volumes. Custom Timeframes

: Seconds (5s, 15s, 30s), Renko, Kagi, and Line Break charts. Market Depth

: Access to historical liquidity and volumes, not just price movement. Dukascopy Bank SA 🛠️ Access & Export Options

You can retrieve historical data through three primary methods: Manual Web Tool Historical Data Feed to download files for manual backtesting. JForex Platform

: The "Historical Data Manager" within the desktop platform allows for direct exports. : Developers can use the JForex SDK (Java) to stream or pull data programmatically. Dukascopy Bank SA 🌍 Wide Instrument Coverage Historical data is available for over 1,600 instruments , including: : Major, minor, and exotic pairs. Commodities : Metals, energy, and agriculture. Equities & Indices : CFDs on global stocks and major market indices. Crypto & ETFs : Diversified assets for modern strategy testing. Dukascopy Bank SA 📈 Quality & Backtesting Reliability Forex Historical Data Feed :: Dukascopy Bank SA

To understand the value, you must compare Dukascopy against the other "free" giants.

The Verdict: For tick data, Dukascopy is the outright winner. For daily closing prices, Yahoo Finance is easier, but Dukascopy is more accurate.

To understand Dukascopy’s role, one must first recognize a structural gap in the financial data market. Professional-grade historical tick data from major exchanges or interbank sources—such as Reuters, Bloomberg, or exchanges like CME—is prohibitively expensive for most individual traders and small funds. Licenses can cost tens of thousands of dollars annually, creating a significant barrier to entry. Dukascopy, through its JForex platform and public API, inadvertently bridged this gap. By offering free, downloadable historical tick and minute bar data to anyone who registers for a demo account, Dukascopy democratized access to a previously gated resource. This strategic move, likely intended to drive platform adoption, instead spawned an entire ecosystem of third-party downloaders, conversion scripts, and backtesting libraries (e.g., Python’s dukascopy module, R scripts, and MetaTrader converters).

| Feature | Description | |---------|-------------| | Tick data | Millisecond-precision bids/asks | | Multiple timeframes | 1-minute, 5-minute, 1-hour, daily, etc. | | Format | CSV, JSON, or proprietary JForex format | | Coverage | From 2003 (varies by instrument) | | Access | Free via their Historical Data Downloader or API (JForex) | | Corporate use | Paid license for commercial strategies |

This is where 90% of traders fail. If you download data from Dukascopy and feed it directly into MetaTrader 4 or TradingView without adjusting the timezone, your backtest will be wrong.

The Specifics:

The Problem: If you download a "Daily" candle for January 1st from Dukascopy, it represents the 24 hours starting at midnight Swiss time. Your strategy, expecting a 5 PM EST close (midnight UTC), will see different Open/High/Low/Close prices. This discrepancy can break support/resistance levels.

The Solution: