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  1. stock_price_prediction stock_price_prediction Public

    Forked from silvernine209/stock_price_prediction

    Predicting stock price movement using NN and XGBoost. Kaggle competition - Top 2% final standing.

    Jupyter Notebook

  2. Stock-Selection-a-Framework Stock-Selection-a-Framework Public

    Forked from jaydu1/Stock-Selection-a-Framework

    This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

    Python

  3. Deep-Convolution-Stock-Technical-Analysis Deep-Convolution-Stock-Technical-Analysis Public

    Forked from philipxjm/Deep-Convolution-Stock-Technical-Analysis

    Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

    Python

  4. Test-stock-prediction-algorithms Test-stock-prediction-algorithms Public

    Forked from timestocome/Test-stock-prediction-algorithms

    Use deep learning, genetic programming and other methods to predict stock and market movements

    Jupyter Notebook

  5. factor-mining_gplearn factor-mining_gplearn Public

    Forked from Starlightfalls1999/factor-mining_gplearn

    Python

  6. gplearn_stock gplearn_stock Public

    Forked from fangshi1991/gplearn_stock

    改进gplearn,主要使用在股票公式挖掘

    Python