Stock-Market-Price-Prediction

Overview

• The price of the S&P500 Stock Market Index is predicted using RandomForestClassifier in this project.
• This repository contains all the codes and resources of this project.

Steps

• Downloading data using the yfinance package
• Cleaning and visualizing stock market data
• Setting up a target for machine learning
• Creating an initial machine-learning model
• Building a backtesting engine to more accurately measure accuracy
• Adding additional predictors to the model
• Improving the accuracy of the model

Code

You can find the code for this project here.

• stock market prediction.ipynb.

Technologies/Tools

• JupyterLab / Google Colab
• Python 3.10.12
• Python packages
  • pandas - pip install pandas
  • scikit-learn - pip install scikit-learn
  • yfinance - pip install yfinance

Data

You can download the S&P500 dataset used in this project here.

• SP500.csv