Finam is a Russian website that allows you to get at least two months worth of one-minute Forex data.
You can use Finam to export data for 12 currency pairs, including EURUSD, EURCHF, EURJPY, EURRUB...
http://export.finam.ru/file.txt?d=d&m=5 ... xt&dtf=4...
If you are looking for free intraday quotes that goes back several years ago then you should use Forexite. This website provides data for 16 currency pairs and the data goes back to 2001.
Periodicity is one-minute.
URL Example: http://www.forexite.com/free_forex_quot ... 011111.zip
Stooq allows you to download intraday quotes for Forex and commodities very quickly by collecting all data in a compressed file.
- Go to http://stooq.com/db/h/
- Click on the link under "5Minutes -> ASCII" to download Forex, commodities and indices quotes in a zip file
GAIN Capital is a leading provider of online foreign exchange trading, asset management, and B2B Forex services.
Gain Capital archive contains historic rate tick data for several currencies. The data contains the following fields: Currency Pair, Date, Bid Price and Ask Price.
Example: http://ratedata.gaincapital.com/2012/04 ... _Week1.zip
Dukascopy is a Swiss Forex bank. It provides free tick data for several FX majors and crosses (Euro vs. Pound Sterling, Canadian Dollar vs. Swiss Franc, Australian Dollar vs. Yen, US Dollar vs. Singapore Dollar...)
You can download tick data here:
http://www.dukascopy.com/swiss/english/ ... istorical/
You can also download Forex data compiled in other periods (1 minute, 10 minutes, 1 hour, 1 day, 1 week and 1 month)
http://www.dukascopy.com/swiss/english/ ... ta_export/
The above URL lets you also download quotes for US Stocks and indices.
Forex intraday data provided by Fxhistoricaldata is available in two different periods (hourly and daily) and for 17 FX pairs.
How to download quotes:
- Go to http://www.fxhistoricaldata.com/
- Click on one currency pair
- Click on "Hourly" to download 1-hour data
- Rename the downloaded file by adding the ".zip" extension
- Open the zipped file and extract the CSV data