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
File size: 1,108 Bytes
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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}
}
```
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