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--- |
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title: Fnonse |
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emoji: 🐠 |
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colorFrom: yellow |
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colorTo: purple |
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sdk: streamlit |
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sdk_version: 1.43.1 |
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app_file: main.py |
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pinned: false |
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license: mit |
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short_description: FNO, stock analysis of NSE listed stocks |
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--- |
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# NSE Stock Analysis Platform 📈 |
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A comprehensive NSE stock analysis platform built with Streamlit, providing real-time technical indicators, trading signals, and news insights for investors. |
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## Features |
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- **Real-time Stock Analysis**: Technical indicators and interactive charts |
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- **AI-Powered Recommendations**: Smart stock recommendations based on technical analysis |
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- **Stock Screener**: Filter stocks based on custom technical criteria |
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- **Live News Feed**: Latest news for NSE stocks using Google News RSS |
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- **Interactive Charts**: Multi-timeframe analysis with various technical indicators |
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## Technical Stack |
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- **Frontend**: Streamlit |
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- **Data Processing**: Pandas, NumPy |
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- **Technical Analysis**: Custom implementations of technical indicators |
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- **Data Source**: yfinance API |
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- **News Feed**: Google News RSS |
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- **Visualization**: Plotly |
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## Dependencies |
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```txt |
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streamlit |
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pandas |
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numpy |
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plotly |
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yfinance |
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feedparser |
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pytz |
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``` |
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## Deployment on Hugging Face Spaces |
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1. Create a new Space on Hugging Face: |
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- Go to huggingface.co/spaces |
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- Click "Create new Space" |
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- Select "Streamlit" as the SDK |
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- Choose a name for your space |
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2. Upload the Project Files: |
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- Upload all project files to your Space |
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- Ensure the file structure matches the repository |
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3. Configure Environment: |
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- The platform will automatically install dependencies |
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- The app will run on the default Streamlit port |
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4. Access Your App: |
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- Once deployed, your app will be available at: https://huggingface.co/spaces/[USERNAME]/[SPACE-NAME] |
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## Usage |
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1. **Stock Analysis**: |
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- Select a stock from the dropdown |
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- Choose timeframe and interval |
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- View technical indicators and signals |
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2. **Stock Screener**: |
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- Set your screening criteria |
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- Get filtered results based on technical indicators |
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3. **AI Recommendations**: |
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- View AI-generated stock recommendations |
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- Check confidence levels and recommendation basis |
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4. **News Feed**: |
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- Access latest news for all NSE stocks |
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- Click on news titles to read full articles |
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## Local Development |
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1. Clone the repository |
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2. Install dependencies: `pip install -r requirements.txt` |
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3. Run the app: `streamlit run main.py` |
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4. Access at: `http://localhost:5000` |
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## License |
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This project is licensed under the MIT License - see the LICENSE file for details. |
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