Predicting the S&P 500 and Don Jones Using Machine learning AI

The project completion involved analyzing the entire S&P 500 and Don Jones Dataset using applied statistics and machine learning to identify stocks that have increased in value based on a specific percentage point for a particular day or period in time. Then based on the insight I built a machine learning prediction model that accurately predicts a particular date when a stock value will increase or decrease in price based on a trained historical dataset. The model produced a 72% win rate for a period of a 10-year investment on all the analyzed predicted stocks and a 74% win rate on a single stock analysis prediction which is a very positive significant achievement.