Hi,
Please check out. E.g. Quantopian( https://www.quantopian.com/ ) or QuantConnect(https://www.quantconnect.com/)
They are both focused on quantitative investment strategy building and both are open sourced. The main difference IMO is that Quantopian is developed by Python while QuantConnect is based on .net.
Both of these 2 library can leverage QuantLib functionality easily via swig wrapper.
Regards,
Cheng
发件人: Grison PG Pierre (External DEXIA-US) [mailto:[hidden email]]
发送时间: 2015年2月23日 22:07
收件人: [hidden email]
主题: [Quantlib-users] strategy backtesting
Hello everyone,
Is there already something defined in Quantlib (or in another library you might know) to use “classic” quantitative investment strategies (for instance, the minimum variance strategy) and perform (historical or simulated) backtests?
Thanks,
Pierre
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