With r/python out for the next 48 hours, here’s a post to promote continuing discussion a language we all love. Python.

    • @imperator
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      11 year ago

      I’d be interested in the github repo. I don’t even know where to start with algo trading. I know there were some specific subreddits dedicated to it, but understanding the best strategy would be cool. Would be interesting to dissect what you’re doing.

      Have you used it in a live environment?

      • @[email protected]
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        21 year ago

        Yes, I’ve used it live. I ended up coming to the conclusion that Binance was rigged and that they were forward trading me.

        If you want to learn a bit about algo-trading, a good place to start is John Ehler’s books. Caveat: You’ll need to have a decent foundation of maths under your belt, or be prepared to learn it.

        There are a few repo’s that are more mature than mine. Jesse and SuperAlgos spring to mind. Also, peruse https://github.com/topics/trading-algorithms

        I’m in the process of documenting mine, and cleaning up the code so that it’s more generic and neat. It’s at https://github.com/noenfugler/algo-weaver

        • @imperator
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          11 year ago

          Thanks I’ll look into it.

    • @SleepyHarry
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      11 year ago

      While I love Python, it’s not the easiest language to do high freq low latency work on as I imagine algotrading would demand.

      How have you worked around this, if at all?

      I can’t find a way to word this that doesn’t sound really aggressive, the question is in good faith!

      • @[email protected]
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        41 year ago

        Liberal use of libraries written in c (e.g. pandas, pytorch, numpy), some use of cython (not in the current version, but I have done so), and relying on time frames and strategies which have some tolerance for latency. If you trade five minutes after the start of a 1 day candle on the basis of where you expect it to be at close, it’s not such a big problem.

        It’s a losing game to try and out-pace the big end of town.