The paper reports that a time-series transformer pretrained on public and proprietary financial data becomes competitive on financial tasks after fine-tuning, while zero-shot general forecasting remains behind MOIRAI.
C hat GPT Informed Graph Neural Network for Stock Movement Prediction
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DELPHYNE: A Pre-Trained Model for General and Financial Time Series
The paper reports that a time-series transformer pretrained on public and proprietary financial data becomes competitive on financial tasks after fine-tuning, while zero-shot general forecasting remains behind MOIRAI.