@Gad82,
Thanks for reposting! The backtester is designed to be agnostic to the duration of the data bars - they are modeled as events so that you can imagine feeding tick data, minute, or daily bars to your simulation. In the Quantopian environment, we provide minute bars and daily bars.
We allow you to model commissions as well as slippage (aka price impact). We provide basic implementations for each, and in the future we will allow you to override with your own implementations.
We do not yet provide a visual indication of entry and exit, but you can see a proof of concept in Thomas' presentation from #pydata: https://www.quantopian.com/posts/hello-from-pydata -- check out the link to his ipython notebook. +1 for this idea -- anyone else want to second it?
thanks,
fawce
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