Stock Price Prediction Using LSTM

Prerequisite :

• You must have python 3.7 or more installed on your system.

• You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.

• If you work on a colab no need to install python or Any other IDE, you need to just sign in with google colab.

What you’ll learn

• How to read the data using in python

• How to preprocess the data.

• How to use the data to build the LSTM model which can predict the stock price.

Problem Statement or Description:

Stock market is one of the major fields in which investors invest the money. Stock market price trend prediction is always a hot topic for researchers from both financial and technical domains. The aim of this project is to build the model using the LSTM deep learning algorithm which is able to predict the stock price.

Key highlights of projects or Essence

• This project is about Stock price prediction

• This project shows you how to import the stock market data and preprocess it.

• This project shows you how to use the data to build the stock price prediction model using a LSTM deep learning algorithm.

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