Tesla Stock Price Prediction

Overview

This project aims to predict whether the closing price of Tesla stock will be higher the next day using historical stock data. It's a binary classification problem where machine learning models help predict a buy signal based on past stock price data.

Website link

https://tesla-stock-price-prediction-project.streamlit.app/

Data

The dataset includes Tesla's daily stock prices from January 2010 to December 2017. Key features include:

• Open: Opening price
• High: Highest price
• Low: Lowest price
• Close: Closing price
• Volume: Total shares traded

Features Engineered

• Open-Close Spread: Price difference between open and close
• High-Low Spread: Volatility indicator
• Quarter-End Flag: Indicator for quarter-end days

Models Used

• Logistic Regression
• Support Vector Machines (SVM)
• XGBoost

Evaluation

Model performance is evaluated using ROC-AUC, trained on 90% of the data with 10% reserved for validation.