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The idea is that you develop your code for live trading and then just run it with the backtesting harness without having to change your live-ready code at all (no work duplication and not having to maintain two versions). The next step would then be to implement Cython tools around that library that will help with backtesting. The goal would be to enable Python developers to write their code either in Cython or Python and be able to seamlessly switch between ib_insync and this library with just one line of code in your main.py. In the first step, I am thinking of basically making a perfect copy of ib_insync in C++ and exposing to Python with Cython. I am not a professional trader, or even a hobbyist for that matter, which is why your opinions will be so valuable to me.
#Ib free tick charts software
Recently I've been thinking about developing a backtesting framework based on ib_insync, but leveraging Cython and C++ to get rid of the Python overhead as much as possible.Ī bit of background: I am software developer specializing in automating my clients’ trading strategies with Interactive Brokers API in Python.
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If you get spam filtered, message the mods and we will review and unblock as required. Q: I am a student and want to know what courses to study to get into algo trading?Ī: Algotrading is at the intersection of statistics/computer science/machine learning/mathematics/finance/economics.
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#Ib free tick charts for free
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