KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers
Financial candlestick forecasting is fundamental to quantitative investment, yet it remains exceptionally challenging due to extremely low signal-to-noise ratios and vast heterogeneity across markets and instruments. Existing approaches have largely attempted to introduce deep learning to capture hidden temporal featur...
Bo-Yuan Zhang, Hao-Ru Li
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