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 (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

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

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.

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
Built with: Hugging Face Transformers

Contact & Support

For questions or issues:

GitHub: [your-repository-link]

Last Updated: October 20, 2025

lc2004/kronos_base_model_BTCUSDT_1h_finetune

BTCUSDT 1-Hour Fine-tuned Model

Model Description