Showing 6 open source projects for "rules"

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    PyBroker

    PyBroker

    Algorithmic Trading in Python with Machine Learning

    ...This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Tally

    Tally

    Let agents classify your bank transactions

    ...At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior. It generates human-readable reports and can produce HTML, JSON, or Markdown outputs to suit dashboards or personal finance workflows. The project emphasizes transparency, allowing users to see why a particular transaction was classified a certain way and to refine rules over time. While it’s tailored toward developers and advanced users, it also includes an interactive command-line experience for initializing budgets, generating charts, and diving deep into spending patterns.
    Downloads: 3 This Week
    Last Update:
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  • 3
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. ...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Optopsy

    Optopsy

    A nimble options backtesting library for Python

    Optopsy is a Python-based, nimble backtesting and statistics library focused on evaluating options trading strategies like calls, puts, straddles, spreads, and more, using pandas-driven analysis. The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads...
    Downloads: 1 This Week
    Last Update:
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  • 5

    Invoice With Roshi

    Offline invoicing tool updated with latest GST rules

    A simple easy to use tool where you can create invoices and store locally. The software is 100% offline, that is, it does not need the internet to work (although you do need the internet during setup).
    Downloads: 0 This Week
    Last Update:
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  • 6
    Open Exchange (OpEx)

    Open Exchange (OpEx)

    The open source Algorithmic Trading System

    OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.
    Downloads: 0 This Week
    Last Update:
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