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Latest commit e6f012e Feb 14, 2018 Hsin Hsin update file structure

Stock Predictive Model

Machine Learning project


The primary goal is to build a machine learning model that can predict if a stock's price is likely to go up given the variables of fundamentals data. I am tackling this as a binary classification problem in that we predict either the next year price is likely to go up or not.


  • New York Stock Exchange S&P 500 companies historical prices with fundamental data
  • URL:
  • There are 4 csv files in this dataset
    • Fundamentals - fundamentals data for S&P 500 companies from 2011 - 2016
    • Prices - Daily prices from 2011 - 2016 for the same companies
    • Split-Adjusted Prices - Prices data as above but adjusted for shares splits
    • Securities - Company information including company name, sector, address# stockPrediction