The code is meant to demonstrate a simple instance of using machine learning to predict stock prices. The data was derived through the Yahoo Finance API, and Stock price data from the Top 100 companies traded on the NASDAQ to predict the tototal volume of trade, any number of desired days in advance. To decrease run time, an instance of XGBOOST is initiated. The model uses the AUC methods of validation.
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forecasting stock prices of 100 top NASDQ companies
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harpooooooon/Forecasting-Volume-of-NASDAQ-100-Stocks-Traded
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forecasting stock prices of 100 top NASDQ companies
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