Instructions to use talant28/Kronos-TW-Predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KRONOS
How to use talant28/Kronos-TW-Predictor with KRONOS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| language: zh | |
| license: mit | |
| tags: | |
| - finance | |
| - time-series | |
| - taiwan | |
| - stock | |
| - kronos | |
| base_model: NeoQuasar/Kronos-base | |
| # Kronos-TW-Predictor | |
| Kronos Autoregressive Predictor fine-tuned on Taiwan Stock Exchange (TWSE) daily data. | |
| ## Base Model | |
| [NeoQuasar/Kronos-base](https://huggingface.co/NeoQuasar/Kronos-base) | |
| ## Training Data | |
| - Source: TWSE listed stocks (613 stocks after quality filtering) | |
| - Period: 2010-01-01 ~ 2024-12-31 | |
| - Features: open, high, low, close, volume, amount | |
| - Predict window: 10 trading days | |
| ## Training Config | |
| - Epochs: 3 | |
| - Batch size: 8 (effective 256 with gradient accumulation) | |
| - Learning rate: 4e-5 | |
| - Hardware: RTX 4080 Laptop 12GB | |
| ## Usage | |
| Use with [Kronos-TW-Tokenizer](https://huggingface.co/talant28/Kronos-TW-Tokenizer) | |
| ## Citation | |
| This model is fine-tuned from Kronos. If you use this work, please cite the original paper: | |
| ```bibtex | |
| @article{shi2025kronos, | |
| title={Kronos: A Foundation Model for Time Series}, | |
| author={Shi, Yu and others}, | |
| journal={arXiv preprint arXiv:2504.03249}, | |
| year={2025} | |
| } | |
| ``` | |