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README.md
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## Training Details
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## Limitations
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- Predictions are probabilistic (quantiles) and should be interpreted with uncertainty
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- The model requires at least 60 days of historical data for predictions
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## Citation
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If you use this model, please cite:
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```bibtex
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@misc{chronos-volatility,
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title={Chronos Fine-tuned for Volatility Prediction},
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author={Your Name},
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year={2024},
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publisher={Hugging Face}
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}
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```
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## License
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This model is licensed under Apache 2.0. The base Chronos model is also licensed under Apache 2.0.
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```
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## Training Details
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- Trained data from AAPL, GOOG, MSFT, SPY, and TSLA
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- NVDA was used as a test case
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## Limitations
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- Predictions are probabilistic (quantiles) and should be interpreted with uncertainty
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- The model requires at least 60 days of historical data for predictions
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