Stock price predictor

Stock price predictor is a machine learning system that learns about the current performance of a company and based on this, predicts future stock prices. To begin working with stock market data, you can predict and make a simple machine learning problem like predicting 6-month price movements based on fundamental indicators or build time series models, or even recurrent neural networks, on the delta between implied and actual volatility from an organizations’ quarterly report. One can also extend this project to find similar stocks based on their price movements and other factors and look for periods when their prices diverge.