|
|
--- |
|
|
language: |
|
|
- en |
|
|
- zh |
|
|
license: mit |
|
|
tags: |
|
|
- time-series |
|
|
- forecasting |
|
|
- bitcoin |
|
|
- btc |
|
|
- cryptocurrency |
|
|
- fine-tuned |
|
|
datasets: |
|
|
- lc2004/BTCUSDT-1-hour-candles |
|
|
model-index: |
|
|
- name: BTCUSDT 1h Fine-tuned Model |
|
|
results: |
|
|
- task: |
|
|
name: Time Series Forecasting |
|
|
type: time-series-forecasting |
|
|
dataset: |
|
|
name: BTCUSDT 1-hour |
|
|
type: cryptocurrency-price-data |
|
|
metrics: |
|
|
- name: Prediction Accuracy |
|
|
type: accuracy |
|
|
value: model-specific |
|
|
--- |
|
|
|
|
|
# BTCUSDT 1-Hour Fine-tuned Model |
|
|
|
|
|
## Model Description |
|
|
|
|
|
This is a fine-tuned language model adapted for **Bitcoin (BTCUSDT) price and volume forecasting** on 1-hour candlestick data. The model has been specialized to predict short-term price movements and trading volume patterns. |
|
|
|
|
|
### Base Model |
|
|
|
|
|
- **Base Model**: [Kronos](https://huggingface.co/antonop/Kronos-1B-MSN) (or specify your actual base model) |
|
|
- **Fine-tuning Task**: Time Series Forecasting for Cryptocurrency |
|
|
- **Application**: BTC/USDT hourly price prediction |
|
|
|
|
|
### Model Details |
|
|
|
|
|
- **Model Type**: Fine-tuned Transformer-based Time Series Model |
|
|
- **Input**: Historical BTCUSDT 1-hour candlestick data (open, high, low, close, volume) |
|
|
- **Output**: Predicted price and volume for the next period(s) |
|
|
- **Fine-tuning Data**: Historical BTCUSDT 1-hour trading data |
|
|
- **Framework**: PyTorch / Hugging Face Transformers |
|
|
|
|
|
## Intended Use |
|
|
|
|
|
This model is designed for: |
|
|
- **Short-term Bitcoin price forecasting** (1-hour predictions) |
|
|
- **Trading volume estimation** |
|
|
- **Technical analysis automation** |
|
|
- **Research and backtesting** |
|
|
|
|
|
### Intended Users |
|
|
|
|
|
- Cryptocurrency traders and analysts |
|
|
- Quantitative research teams |
|
|
- Academic researchers studying time series forecasting |
|
|
- Trading strategy developers |
|
|
|
|
|
## How to Use |
|
|
|
|
|
### Installation |
|
|
|
|
|
```bash |
|
|
pip install transformers torch |
|
|
``` |
|
|
|
|
|
### Loading the Model |
|
|
|
|
|
```python |
|
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
|
|
|
model_name = "your-huggingface-username/BTCUSDT-1h-finetuned" |
|
|
tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
|
model = AutoModelForCausalLM.from_pretrained(model_name) |
|
|
``` |
|
|
|
|
|
### Prediction Example |
|
|
|
|
|
```python |
|
|
# Prepare your BTCUSDT data |
|
|
# Use the prediction script from the original repository |
|
|
|
|
|
from prediction_script import predict_btc |
|
|
predictions = predict_btc(model, historical_data) |
|
|
print(predictions) |
|
|
``` |
|
|
|
|
|
For detailed usage, see the [original repository](https://github.com/Liucong-JunZi/Kronos-Btc-finetune) |
|
|
|
|
|
## Model Performance |
|
|
|
|
|
- **Training Data**: BTCUSDT 1-hour historical candles |
|
|
- **Evaluation Metric**: Model-specific forecasting accuracy |
|
|
- **Use Case Specific**: Optimized for cryptocurrency time series |
|
|
|
|
|
See example predictions: |
|
|
 |
|
|
|
|
|
## Limitations |
|
|
|
|
|
- Trained specifically on **BTCUSDT 1-hour data** - may not generalize to other cryptocurrencies or timeframes |
|
|
- Time series models are inherently uncertain; predictions should not be used as sole basis for trading decisions |
|
|
- Market conditions and volatility can significantly impact forecast accuracy |
|
|
- Historical performance does not guarantee future results |
|
|
|
|
|
## Ethical Considerations |
|
|
|
|
|
⚠️ **Risk Warning**: This model is for research and educational purposes. Do not use for actual trading without proper risk management and professional financial advice. |
|
|
|
|
|
- Cryptocurrency markets are highly volatile |
|
|
- Use appropriate position sizing and stop-loss strategies |
|
|
- Consult with financial professionals before trading decisions |
|
|
|
|
|
## License |
|
|
|
|
|
This fine-tuned model is released under the **MIT License**. |
|
|
|
|
|
The base model's original license and usage terms should be respected. For details on the base model, refer to the [Kronos repository](https://huggingface.co/antonop/Kronos-1B-MSN). |
|
|
|
|
|
## Citation |
|
|
|
|
|
If you use this model, please cite: |
|
|
|
|
|
```bibtex |
|
|
@misc{btcusdt_finetuned_2025, |
|
|
title={BTCUSDT 1-Hour Fine-tuned Model}, |
|
|
author={Your Name}, |
|
|
year={2025}, |
|
|
publisher={Hugging Face}, |
|
|
howpublished={\url{https://huggingface.co/your-username/BTCUSDT-1h-finetuned}} |
|
|
} |
|
|
``` |
|
|
|
|
|
## Acknowledgments |
|
|
|
|
|
- Base model: [Kronos](https://huggingface.co/antonop/Kronos-1B-MSN) |
|
|
- Built with: [Hugging Face Transformers](https://huggingface.co/transformers/) |
|
|
|
|
|
## Contact & Support |
|
|
|
|
|
For questions or issues: |
|
|
- GitHub: [[your-repository-link](https://github.com/Liucong-JunZi/Kronos-Btc-finetune)] |
|
|
|
|
|
--- |
|
|
|
|
|
**Last Updated**: October 20, 2025 |