Python Algotrading with Machine Learning

This page summarizes the projects mentioned and recommended in the original post on dev.to
Python Science and Data analysis Numpy algotrading Backtesting

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  • pybroker

    Algorithmic Trading in Python with Machine Learning

    • Hello, I would like to share with you PyBroker, a free and open Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance.

  • NumPy

    The fundamental package for scientific computing with Python.

    • A super-fast backtesting engine built in NumPy and accelerated with Numba.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Numba

    NumPy aware dynamic Python compiler using LLVM

    • A super-fast backtesting engine built in NumPy and accelerated with Numba.

  • Alpaca-API

    The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.

    • Access to historical data from Alpaca and Yahoo Finance, or from your own data provider.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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