Project Overview

In this project, we'll predict the price of the S&P500 stock market index.

Project Steps

• Download data using the yfinance package
• Create an initial machine learning model and estimate accuracy
• Build a backtesting engine to more accurately measure accuracy
• Improve the accuracy of the model

Code

You can find the code for this project here.

File overview:

• market_prediction.ipynb - a Jupyter notebook that contains all of the code.

Local Setup

Installation

To follow this project, please install the following locally:

• JupyerLab
• Python 3.8+
• Python packages
  • pandas
  • yfinance
  • scikit-learn

Data

We'll download all of the data during the project, using the yfinance package.