| # Kronos Web UI | |
| Web user interface for Kronos financial prediction model, providing intuitive graphical operation interface. | |
| ## β¨ Features | |
| - **Multi-format data support**: Supports CSV, Feather and other financial data formats | |
| - **Smart time window**: Fixed 400+120 data point time window slider selection | |
| - **Real model prediction**: Integrated real Kronos model, supports multiple model sizes | |
| - **Prediction quality control**: Adjustable temperature, nucleus sampling, sample count and other parameters | |
| - **Multi-device support**: Supports CPU, CUDA, MPS and other computing devices | |
| - **Comparison analysis**: Detailed comparison between prediction results and actual data | |
| - **K-line chart display**: Professional financial K-line chart display | |
| ## π Quick Start | |
| ### Method 1: Start with Python script | |
| ```bash | |
| cd webui | |
| python run.py | |
| ``` | |
| ### Method 2: Start with Shell script | |
| ```bash | |
| cd webui | |
| chmod +x start.sh | |
| ./start.sh | |
| ``` | |
| ### Method 3: Start Flask application directly | |
| ```bash | |
| cd webui | |
| python app.py | |
| ``` | |
| After successful startup, visit http://localhost:7070 | |
| ## π Usage Steps | |
| 1. **Load data**: Select financial data file from data directory | |
| 2. **Load model**: Select Kronos model and computing device | |
| 3. **Set parameters**: Adjust prediction quality parameters | |
| 4. **Select time window**: Use slider to select 400+120 data point time range | |
| 5. **Start prediction**: Click prediction button to generate results | |
| 6. **View results**: View prediction results in charts and tables | |
| ## π§ Prediction Quality Parameters | |
| ### Temperature (T) | |
| - **Range**: 0.1 - 2.0 | |
| - **Effect**: Controls prediction randomness | |
| - **Recommendation**: 1.2-1.5 for better prediction quality | |
| ### Nucleus Sampling (top_p) | |
| - **Range**: 0.1 - 1.0 | |
| - **Effect**: Controls prediction diversity | |
| - **Recommendation**: 0.95-1.0 to consider more possibilities | |
| ### Sample Count | |
| - **Range**: 1 - 5 | |
| - **Effect**: Generate multiple prediction samples | |
| - **Recommendation**: 2-3 samples to improve quality | |
| ## π Supported Data Formats | |
| ### Required Columns | |
| - `open`: Opening price | |
| - `high`: Highest price | |
| - `low`: Lowest price | |
| - `close`: Closing price | |
| ### Optional Columns | |
| - `volume`: Trading volume | |
| - `amount`: Trading amount (not used for prediction) | |
| - `timestamps`/`timestamp`/`date`: Timestamp | |
| ## π€ Model Support | |
| - **Kronos-mini**: 4.1M parameters, lightweight fast prediction | |
| - **Kronos-small**: 24.7M parameters, balanced performance and speed | |
| - **Kronos-base**: 102.3M parameters, high quality prediction | |
| ## π₯οΈ GPU Acceleration Support | |
| - **CPU**: General computing, best compatibility | |
| - **CUDA**: NVIDIA GPU acceleration, best performance | |
| - **MPS**: Apple Silicon GPU acceleration, recommended for Mac users | |
| ## β οΈ Notes | |
| - `amount` column is not used for prediction, only for display | |
| - Time window is fixed at 400+120=520 data points | |
| - Ensure data file contains sufficient historical data | |
| - First model loading may require download, please be patient | |
| ## π Comparison Analysis | |
| The system automatically provides comparison analysis between prediction results and actual data, including: | |
| - Price difference statistics | |
| - Error analysis | |
| - Prediction quality assessment | |
| ## π οΈ Technical Architecture | |
| - **Backend**: Flask + Python | |
| - **Frontend**: HTML + CSS + JavaScript | |
| - **Charts**: Plotly.js | |
| - **Data processing**: Pandas + NumPy | |
| - **Model**: Hugging Face Transformers | |
| ## π Troubleshooting | |
| ### Common Issues | |
| 1. **Port occupied**: Modify port number in app.py | |
| 2. **Missing dependencies**: Run `pip install -r requirements.txt` | |
| 3. **Model loading failed**: Check network connection and model ID | |
| 4. **Data format error**: Ensure data column names and format are correct | |
| ### Log Viewing | |
| Detailed runtime information will be displayed in the console at startup, including model status and error messages. | |
| ## π License | |
| This project follows the license terms of the original Kronos project. | |
| ## π€ Contributing | |
| Welcome to submit Issues and Pull Requests to improve this Web UI! | |
| ## π Support | |
| If you have questions, please check: | |
| 1. Project documentation | |
| 2. GitHub Issues | |
| 3. Console error messages | |