Stocks_Predicition

Stock Price prediction Model has been made using LSTM approach Using RNN

About

This model use test data to train the model to predit the future stock price of a company. Then the test data is being feed to the model to predict the future stock price.

RightNow, This model gives some appropriate trend

This model is based on the Black-shoe model or Statistical arbitrage

Data

The stock data is being taken from the Yahoo Finance and Github(For TATA), which provide the historical stock data, downloadable as .csv file.

For Now I have train the model on the S&P 500 and TATA stock data. The data is daily stock price. Each day has the following pieces of data:

• Date
• Open
• High
• Low
• Close
• Adjusted Close
• Volume

Graph Output

S&P 500 Stock

In the Below graph, I used Adjusted Closed Price as the traget Variable in the model

TATA Stock

In the Below graph, I used Open Price as the traget Variable in the model