This project is a web-based Stock Analysis tool built with Python and Flask, designed to analyze historical stock market data, visualize trends, and evaluate stock performance. The web interface allows users to search for any ticker, choose custom date ranges, and see detailed visualizations powered by the Yahoo Finance API.
This tool helps investors and enthusiasts:
- Analyze historical price data
- Visualize 20-day moving averages
- View daily return volatility
- Inspect basic company information
Data is powered by Yahoo Finance
- User-friendly web form to enter stock ticker and date range
- Responsive design using Bootstrap 5
- Data visualizations with Matplotlib
- Key statistics and historical summary table
- Ticker validation and error handling
- Powered by Flask — ready to deploy
| Tool / Library | Purpose |
|---|---|
| Python 3 | Core programming language |
| Flask | Web framework |
| Pandas | Data manipulation |
| yFinance | Fetch stock data from Yahoo |
| Matplotlib | Data visualization |
| Tabulate | Console-based tables |
| Bootstrap 5 | UI styling and responsiveness |
To run this project locally:
git clone https://github.com/nmelgar/python-stock-analysis
cd python-stock-analysis
pip install -r requirements.txt
python app.py- Add real-time news integration for tickers
- Implement machine learning models for price prediction
- Add more technical indicators (e.g., RSI, MACD, Bollinger Bands)
- Enable export to CSV/Excel for downloaded data
- Deploy the app to a cloud platform like Render or Heroku