Forex Tester allows you to import an unlimited number of currency pairs and years of history data in almost any possible text format (ASCII *.csv, *.txt) and in MetaTrader 4 history format (*.hst).
We strongly recommend importing 1-minute data for accurate testing (it is possible to import higher timeframes but testing results may not be as good).
Note: To increase the quality of testing, we recommend using broker-specific M1 or even tick data, as it will give you almost 100% quality of testing. You can download broker-specific data from our Data Service.
We offer two types of paid data services so that our users could select the best option that meets their trading needs: Standard data and VIP data.
In comparison with our free historical data, both of these paid services provide you with:
On top of all these benefits, our VIP data package provides you with the tick-by-tick data with floating spread. By purchasing this package, you receive the most detailed price rates as they are on the real market. It is the best decision for scalping and short-term strategies.
Time: GMT (no Daylight Saving Time)
Quality: one of the best free sources
Here you can download free history data for the most common currency pairs (source: Forexite. Ltd):
|AUDJPY||Jan 2001 - 30 Jun 2019||34.3 MB|
|AUDUSD||Jan 2001 - 30 Jun 2019||32.0 MB|
|CHFJPY||Jan 2001 - 30 Jun 2019||34.5 MB|
|EURCAD||Jan 2001 - 30 Jun 2019||38.0 MB|
|EURCHF||Jan 2001 - 30 Jun 2019||32.6 MB|
|EURGBP||Jan 2001 - 30 Jun 2019||30.0 MB|
|EURJPY||Jan 2001 - 30 Jun 2019||38.2 MB|
|EURUSD||Jan 2001 - 30 Jun 2019||35.1 MB|
|GBPCHF||Jan 2001 - 30 Jun 2019||39.8 MB|
|GBPJPY||Jan 2001 - 30 Jun 2019||41.1 MB|
|GBPUSD||Jan 2001 - 30 Jun 2019||36.3 MB|
|NZDJPY||Jan 2003 - 30 Jun 2019||30.5 MB|
|NZDUSD||Jan 2003 - 30 Jun 2019||28.6 MB|
|USDCAD||Jan 2001 - 30 Jun 2019||31.9 MB|
|USDJPY||Jan 2001 - 30 Jun 2019||33.7 MB|
|USDCHF||Jan 2001 - 30 Jun 2019||34.7 MB|
|XAGUSD||Jan 2001 - 30 Jun 2019||15.0 MB|
|XAUUSD||Jan 2001 - 30 Jun 2019||28.1 MB|
You can also find a simple instruction on how to import historical data here.