8000 GitHub - SaewonY/stock_price_prediction: EDA and Modeling examples
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stock price prediction Modeling Examples


Data Description

  • Input Data

    Dataset is collected from KOSPI (Korea Composite Stock Price Index) - link
    Columns are comprised of time, code and feature sets that are judged to be significant in predicting
    (note that all features are blurred so they can't be identified)

  • Target Data

    There are 3 types of targets provided. Each true labels are from the next unit time.
    Target Data1: Price Earning Ratio (regression)
    Target Data2: Price Earning Ratio of 5 quantiles (classification)
    Target Data3: 1 - positive Price Earning Ratio, 0 - negative Price Earning Ratio (binary classification)



Many-to-Many RNN based Modeling Visualization example

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40 epoch trained



112

100 epoch trained



113

300 epoch trained

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