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About this project

Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction – physical factors vs. psychological, rational and irrational behaviour, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high degree of accuracy.

Linear Regression and neural network algorithms are used in this project to predict the future stock condition of different companies such as google, yahoo, apple etc. The linear regression model returns an equation that determines the relationship between the independent variables and the dependent variable.

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Requirements

In order to run this project, you need the Pycharm edu. The process is explained below to download the projects.

  • Open the Downloaded file on your computer.
  • Load the main folder into Pycharm edu.
  • After that, import required library if error occurs on the code.
  • Then, Run server.py file.
  • click the localhost id which is given by server.py file as output.
  • It will redirects to you to the browser and gives the required output.

Screenshots of the Process

To Download Source Code “Stock Prediction System In Python”, Click The Download Button Below!

Download “stock prediction” Stock-Prediction-System.zip – Downloaded 93 times – 2 MB