A Python project to predict stock prices based on historical data. This project uses machine learning models to forecast the closing price of stocks and displays results on a web interface with interactive charts.
- Fetch historical stock data using yfinance.
- Train a model to predict stock closing prices.
- Predict latest stock price for a given ticker.
- Web interface using Flask.
- Interactive historical chart using Plotly.
- Error handling for invalid ticker inputs.
- Python 3.11
- Pandas
- Scikit-learn
- YFinance
- Flask
- Plotly
- Clone the repository:
git clone https://github.com/Assim-Vs/codec-stock-predictor.git
cd codec-stock-predictor