PatchTST Mean Reversion Crypto Scanner

This model uses the PatchTST architecture (A Time Series is Worth 64 Words) to identify high-probability mean reversion setups in cryptocurrency perpetual futures. Unlike XGBoost which looks at single snapshots, this model analyzes a 48-step sequence of market conditions leading up to a signal.

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Model size
171k params
Tensor type
F32
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