Python Algotrading with Machine Learning

This page summarizes the projects mentioned and recommended in the original post on dev.to

CodeRabbit: AI Code Reviews for Developers
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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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  1. 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.

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. NumPy

    The fundamental package for scientific computing with Python.

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

  4. Numba

    NumPy aware dynamic Python compiler using LLVM

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

  5. 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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