The stock market prediction is the act of trying to determine the future value of company stock or some other financial stock traded on the Stock Exchange. If the model successfully predicts the future stock it can provide a lot of profit to companies.

The aim of the project is to do a prediction of the stock market exchange, Apple stock and Amazon Inc. The Amazon historical data will be in real time and it will store in python code via web reader (the model tells the future outcomes of stock where it will rise or fall).

Using graphs, the results will be in the outcomes project report. AI algorithms are used to predict the stock's closing, opening, high or low price, which helps the investors to make a better decision on investing their money in companies.

Based on advanced machine prediction a decision can be made to buy or sell stocks. Stock prices are predicted using the machine learning algorithm LSTM with Python programming language.

All the historical data for both Amazon and Apple companies are taken from https://finance.yahoo.com/