Real-time exchange rates, historical data and market data for professional forex trading. Whether day trading, swing trading, algo trading or long-term analysis – precise, up-to-date data is decisive.
From real-time exchange rates and tick data to historical currency prices: the information traders, analysts and investors need for sound decisions.
Forex data comprises all the information generated in currency trading and enables detailed analysis of the international currency markets.
The forex market (foreign exchange market) is the largest financial market in the world – open almost around the clock and with very high liquidity. The best-known pairs include:
Currencies react to many influences at once. Anyone wanting to analyse these movements needs current, reliable market data.
Different data types are needed depending on the trading style.
Current exchange rates with virtually no delay – for day trading, intraday, scalping, market monitoring and trading systems. Prices change in seconds.
Development of currency pairs over years – for market analysis, backtesting, research and strategy development.
Every single price change with timestamp, price, bid, ask and market activity – for precise analysis and realistic backtests.
Bid is the buy price, Ask the sell price. The difference between the two is the spread – a central figure in forex trading.
The bulk of global trading is concentrated in a few major currencies.
Most traded, high liquidity, low spreads.
Pairs without the US dollar.
A major currency plus a smaller economy – often higher volatility and wider spreads.
Supports entries and exits, market monitoring, risk management and trading signals. Even small delays affect the trade.
Positions held for days to weeks – daily prices, historical data, trend and volatility information matter. Real-time helps with timing.
Real-time prices, tick data, history and APIs as the basis for trend-following, breakouts, mean reversion and statistical models.
Simulating historical trades, risk analysis, system optimisation and performance evaluation – the higher the data quality, the more robust.
Many professional users integrate exchange rates directly into their own applications – trading bots, market analysis, financial platforms, dashboards and mobile apps. APIs enable automated access to current and historical data.
Modern AI systems need extensive data sets:
The forex market reacts strongly to economic events – current data helps spot movements early. Key drivers:
The right choice depends on your trading style.
Not all providers deliver the same quality.
In forex, the bid-ask spread counts – even fractions of a pip affect short-term strategies.
Prices to 4–5 decimal places so spreads and moves are represented exactly.
The market runs around the clock – histories should run through without session gaps.
Often indispensable for scalping and second-level backtests.
Important for trading bots and automated currency strategies.
Many market participants underestimate the importance of high-quality data – which significantly impairs analyses and decisions.
The more active the trading strategy, the more important high-quality market data becomes.
Forex data comprises exchange rates, bid/ask prices, spreads, tick data, trading volume and historical price series of the international currency markets.
In forex trading, even fractions of a pip affect short-term strategies. Prices to 4–5 decimal places represent spreads and moves exactly.
Major pairs like EUR/USD offer high liquidity and tight spreads. Exotic pairs like USD/TRY combine a major currency with a smaller economy – often with greater volatility.
The forex market is open almost around the clock – from Sunday evening to Friday evening (24/5). Forex data should cover these sessions without gaps.
Whether EUR/USD tick by tick or exotic pairs with wider spreads – only pip-precise, gap-free 24/5 data makes currency strategies reliably testable.
Anyone actively trading the forex market or developing bots should ensure tight spreads, clean histories and a robust API.