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| title: DataSynthis_ML_JobTask | |
| emoji: 📈 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.49.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| allow_internet: true | |
| # Stock Price Forecasting App | |
| This application uses three different models (ARIMA, Prophet, and LSTM) to forecast stock prices. | |
| ## Features | |
| - Real-time stock data fetching from Yahoo Finance | |
| - Multiple forecasting models | |
| - Interactive visualizations | |
| - Customizable forecast periods | |
| ## Models | |
| 1. **ARIMA** - Traditional statistical model | |
| 2. **Prophet** - Facebook's time series forecasting | |
| 3. **LSTM** - Deep learning neural network | |
| ## Usage | |
| 1. Enter a stock ticker symbol (e.g., AAPL, GOOGL) | |
| 2. Select forecast period (1-90 days) | |
| 3. Choose which model(s) to use | |
| 4. Click "Generate Forecast" | |
| ⚠️ **Disclaimer**: For educational purposes only. Not financial advice. |