vs OANDA

Looking for OANDA
historical data?

OANDA's historical data comes with limitations. Get 25 years of clean, backtesting-ready forex data with better coverage and a one-time purchase.

Side-by-side comparison

FeatureOANDAHistorical FX
Data historyLimited (varies by pair)25 years (2000-2024)
Currency pairs~70 pairs66 pairs + indexes
Pricing modelAccount requiredOne-time purchase
Download formatAPI onlyParquet, CSV, MT4/MT5
TimeframesMultiple7 (M1 to Weekly)
Data cleaningRaw dataGaps filled, bad ticks removed
Backtesting readyRequires processingImmediate use

Why traders switch from OANDA

Deeper history

OANDA's API limits how far back you can go. Our data starts from January 2000 for comprehensive backtesting across multiple market cycles.

No API hassle

Skip rate limits and pagination. Download complete datasets as files and load directly into pandas, R, or your backtesting platform.

One-time cost

No account maintenance or ongoing fees. Pay once, download your data, and use it forever for any project.

Pre-cleaned data

All data is cleaned for gaps, bad ticks, and weekend artifacts. Load and backtest immediately without preprocessing.

66
Currency pairs
200M+
Data points
25
Years of data
7
Timeframes

Ready to upgrade your data?

Get instant access to 25 years of clean forex data. One-time purchase, unlimited use. Perfect for backtesting any strategy.

Common questions

Is this data as accurate as OANDA?
Our data is sourced from multiple institutional liquidity providers and professionally cleaned. Quality is comparable or better, especially for historical periods where OANDA has limited data.
Can I use OANDA spreads with this data?
This is mid-price OHLCV data (bid+ask/2). For spread simulation, apply your broker's typical spread to the data. Most backtesting frameworks support this.
What if I need real-time data too?
Use our historical data for backtesting and OANDA's API for live trading. Many traders use this hybrid approach for best results.
Is the format compatible with my tools?
Parquet works with Python, R, DuckDB, Spark, and most modern data tools. CSV and MT4/MT5 formats are also available for maximum compatibility.