XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.
Hello, The P5.py script refers to the "fix_yahoo_finance" library which no longer works, by modifying this line by "import yfinance as yf" it's OK