Welcome to Qdownloader

Qdownloader is a web app that downloads free historical data from several sources and turns it into a single .CSV file. That .CSV file is compatible with version 10 or 11 of Metastock's "The Downloader". "The Downloader" can easily be used to convert that .CSV into metastock files so you can open the charts in metastock.

Please use one of following web apps:

If the app doesn't load it's because it is being use. Please try another or try again later.

This site does not copy or redistribute data

This site doesn't have a database and thus does not copy nor redistribute data. The data comes direct from the sources (that's why you have to input your quandl or tiingo API). It is YOUR data. "Just" bundled in one .CSV file so that metastock can convert it in one fell swoop. That and being user friendly to non-programmers.

Why you shouldn't use Yahoo Finance for long term historical data

Yahoo long term historical data is not good and sometimes it's a hit or miss. You should use yahoo finance for recent data (last 10 to 15 years) or for index data only. Let's take a look at AAPL long term quotes. Apple's first day of trading was 1980-12-12. At the time of this writting the adjusted close from tiingo is 0.419497223, the adjusted close from quandl is 0.42270591588018 but the adjusted close of Yahoo Finance is 0.02336. Not all historical quotes are as bad as this one. MSFT is ok. However i don't see the point of having any bad data if one can have better quality free data.

Why you should use Tiingo for stocks

Tiingo has the best of both worlds. Good historical data, like quandl, and good API speed, like yahoo. It's easy to register and the only donwside is you a have a limit of 500 unique symbols per month per API Key. If you need more than 500 symbols think about paying for the Tiingo Power API Key.

The future of the Quandl connection

Even if quandl for now only supports the wiki prices database (around 3000 stocks), in the near future i plan on supporting futures (CHRIS database). A connection to FRED (Federal Reserve Economic Data) via Quandl will be added too, so we can have access to interest rates and other economic data.