Predictive Model for S&P500 Market Status

This repository contains a Machine Learning project to make predictions about the future S&P500 market status using the historical data of market closing index.

Objectives

Using historical data on the price of the S&P500 Index, make predictions about future stock market status

Goal Significance

Why does the list of objectives above mention matter? What benefit we could derive by developing a Stock Market Predictive Model. Below are the goals we can enlist:

• This information will help us to forecast how the overall stock market as a whole will perform over the time

• The stock market performance will, in turn, give us an insight about the overall economic status

• The S&P500 Index movement can provide us useful information about the business status of the top 500 corporate houses in the nation

Technical Writeup

Please refer to the approprite portion of the portfolio section to read the Detailed Project Writeup.

Code Explanation

Once get fork permission:

• Download the .py file and 'databank' folder together.

• Retain the relative folder tree structure.

• The native python file (.py) shuold remain in the root directory.

• The python file extracts data from the two .csv databases that exist in the databank folder.

• Execute the .py file in root.

Please feel free to contact me for any of your question or concern through github. Happy coding. Enjoy!