How to Import Free Market Data Into cAlgo for Backtesting
This tool is useful for traders who have automated trading systems using the cTrader trading platform and need to test their strategy with much more data so that they capture as many market conditions as possible. Click on the link below to find out how to download the free market data.
"THE FIRST THING YOU NEED TO DO IS DOWNLOAD THE HISTORICAL DATA"
HOW TO DOWNLOAD FREE HISTORICAL MARKET DATA
How to Use The Data Converter
There are just 3 steps to convert the market data files you downloaded using the Ducascopy widget.
Click on the source file button and browse to the Ducascopy market data file you downloaded.
Once the file has been imported and formatted ready for the conversion, you can select the export folder path. By default, the name of the file to be exported will be the symbol name and current date. You can change the name of the file to anything you want, but do not forget to append the .csv
Due to the limitations of downloading large files with a web browser using the Ducascopy widget on the data download page, it is best to download 2 yrs. worth of data at a time and merging them into one large data file.
We have included a checkbox so that you can append data files to the master data file.
The last step is to simply click on the Convert button, there may be a slight delay of up to a minute while it loads all the data, please be patient and when it is loaded you will see the progress of all the data being converted.
Once the conversion starts you will see how many rows in total there are in the CSV file together with how many rows have been converted, you can stop the conversion at any time. once the conversion is complete you can open the published folder by just clicking on the link "Open Publish Folder"
Sample Exported CSV Data Ready for cTrader
the image below shows a sample exported CSV file for EURUSD with 1 min data.
How To Import The Data Into cAlgo?
If you have just downloaded the file above and want to run it as a backtest using the cAlgo trading platform just click on the link below to find out how.
Find Out How to Import Historical Data Files Into cAlgo
Download The Free limited Feature Version
We offer a free limited version download where you can try the software for as long as you want, the only difference between the paid version and the limited version is that your maximum import data file size is 65 MB which will give you 2 yrs. of market data. Also, you will not be able to append new import data to create a single large historical market data file for the maximum years.
Download Free Feature Limited Version
* This version runs from cAlgo and is downloaded as an algo file.
Watch A Video Demonstration
"To watch the videos full screen, just start playing the video and click on the bottom right icon"
The video has been uploaded to 1080p High Quality, so do not forget to set your U-Tube video quality to 1080p HD.
Secure & Safe Installation Setups
All our software that is installed on your machine has a code signed certificate where our business details have been checked with Companies House UK and Dun & Bradstreet UK. This is to give you extra peace of mind when you download applications from ClickAlgo.com
* You can read more about code signed certificates
We Offer Two Types of Installation Files
Your downloaded zip file will contain two setup files, one for 32-bit and the other for 64-bit versions of windows, if you are running on 64 bit than it is better to use the 64-bit installation file as the conversion will be much faster. To find out more about this just click on the link below.
32-bit & 64-bit Versions of Windows
The application on its own only uses 8 MB of RAM, but due to a large amount of data imported and being converted, especially if you are creating very large data files with 15 years worth of 1 m data. The amount of RAM being used can reach 500 MB. An average 2 yr. market data file being converted to cTrader will use about 200 MB of RAM. Also as there is a lot of data crunching going on just make sure you run this converter when there are no other heavy CPU or RAM intensive applications running at the same time unless you have a powerful PC.