Stock Price Forecasting Using Stochastic Processes and Machine Learning

A stochastic process is a family of time-indexed random variables, and stock price is a list of time-indexed variables as well. For this project, I would try to use stochastic process, time series analysis models, and also Machine Learning models to forecast the stock price based on the previous prices and other information. Advanced mathematical techniques were used to formulate this model, and investors can use this model to obtain suggestions. Senior Project submitted to The Division of Science, Mathematics and Computing of Bard College