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This repository has been archived by the owner on Jan 12, 2024. It is now read-only.
Hi,
excellent share for the community.
Have you thought of integrating with Zipline - https://github.com/quantopian/zipline
Can you provide some insights as per where you would start, I would gladly try to bridge them in order to get a backup in case Quantopian (commercial zipline for live trading) goes down.
The text was updated successfully, but these errors were encountered:
Making QTPyLib work with Zipline strategies shouldn't be extremely hard theoretically.
That being said, although I've played with Zipline a bit, I can't say that I'm fluent with it and therefore won't be able think of everything that might get broken and will probably never get a 100% coverage (and even less as both libraries mature).
Also, I still push updates to QTPyLib every single day and I feel it needs to first get past a beta version before I pursue this... :)
For now, I think the best approach would be to create a guide on how to convert a strategy to work with QTPyLib. Since both libraries are event based and using Numpy/Pandas, it should be pretty strait forward.
In my example, I tried to use a very similar strategies to the one used by Zipline in order to emphasis the differences and similarities of a basic strategy.
Hi,
excellent share for the community.
Have you thought of integrating with Zipline - https://github.com/quantopian/zipline
Can you provide some insights as per where you would start, I would gladly try to bridge them in order to get a backup in case Quantopian (commercial zipline for live trading) goes down.
The text was updated successfully, but these errors were encountered: