Showing 4 open source projects for "stock technical indicators"

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  • 1
    fastquant

    fastquant

    Backtest and optimize your ML trading strategies with only 3 lines

    ...It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. The framework enables users to test common strategies such as moving average crossovers, momentum trading, and custom indicators on historical stock data. By automating data retrieval, strategy evaluation, and result visualization, the library reduces the barrier to entry for individuals interested in quantitative finance. The project also supports optimization workflows that allow users to search for parameter combinations that improve trading strategy performance.
    Downloads: 0 This Week
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  • 2
    MachineLearningStocks

    MachineLearningStocks

    Using python and scikit-learn to make stock predictions

    MachineLearningStocks is a Python-based template project that demonstrates how machine learning can be applied to predicting stock market performance. The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. The model attempts to predict whether specific stocks will outperform a benchmark index such as the S&P 500. ...
    Downloads: 2 This Week
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  • 3
    surpriver

    surpriver

    Find big moving stocks before they move using machine learning

    ...These anomalies are interpreted as signals that a stock may soon experience a major upward or downward move. The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. The project is intended as a research tool for quantitative finance experiments and algorithmic trading strategy development.
    Downloads: 0 This Week
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  • 4
    bulbea

    bulbea

    Deep Learning based Python Library for Stock Market Prediction

    bulbea is an open-source Python library designed for financial analysis and stock market prediction using machine learning and deep learning techniques. The library provides tools for retrieving financial time series data, preprocessing market data, and training predictive models that estimate future price movements. bulbea integrates common machine learning frameworks such as TensorFlow and Keras to build neural network models capable of learning patterns in historical financial data. It...
    Downloads: 0 This Week
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