{"id":25455147,"url":"https://github.com/rijoslal/treasuretrack","last_synced_at":"2026-02-14T20:05:25.367Z","repository":{"id":277387190,"uuid":"871553118","full_name":"RijoSLal/TreasureTrack","owner":"RijoSLal","description":"TreasureTrack is a web application designed to forecast stock prices using the NeuralProphet model. 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It allows users to select from a range of popular stocks, view their historical price data, and predict future prices over a customizable number of days.\n\n## Features\n\n- Select from a list of well-known stocks such as Apple, Amazon, Tesla, and more.\n- View historical stock data from Yahoo Finance.\n- Forecast future stock prices using the NeuralProphet model.\n- Interactive plot showing live stock prices and predicted future prices.\n- Customizable forecast period, allowing predictions from 2 to 300 days.\n\n## Getting Started\n\n### Prerequisites\n\nMake sure you have the following installed:\n- Python 3.8 or above\n- Streamlit\n- Pandas\n- Numpy\n- Plotly\n- NeuralProphet\n- yfinance\n\n### Installation\n\n1. Clone this repository:\n\n   ```bash\n   git clone https://github.com/yourusername/treasuretrack.git\n   cd treasuretrack\n   ```\n\n2. Install the required Python packages using the `requirements.txt` file:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Run the application:\n\n   ```bash\n   streamlit run app.py\n   ```\n\n### How to Use\n\n1. **Select a Stock**: Choose a stock from the dropdown list.\n2. **Set Prediction Days**: Use the slider to select the number of days you want to forecast (between 2 and 300).\n3. **View Historical Data**: The application will load and display the historical stock data from Yahoo Finance.\n4. **Forecast Stock Prices**: The model will fit the historical data and predict future stock prices.\n5. **View the Graph**: The graph will display the live data and forecasted stock prices.\n6. **View the Forecasted Data**: Check the stock price predictions at the bottom of the app.\n\n### Example Stocks Available\n- Apple (AAPL)\n- Tesla (TSLA)\n- Microsoft (MSFT)\n- Amazon (AMZN)\n- Meta (META)\n- NVIDIA (NVDA)\n- Berkshire Hathaway (BRK.B)\n- and many more...\n\n### Project Structure\n\n```\n├── app.py              # Main Streamlit app\n├── requirements.txt    # Required Python packages\n└── README.md           # Project documentation\n```\n\n### License\n\n© гเן๏ ร lคl\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frijoslal%2Ftreasuretrack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frijoslal%2Ftreasuretrack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frijoslal%2Ftreasuretrack/lists"}