generated from mathias/template-go-web
44e8b3eb958a621b474e587bb45d1ad56da9dd74
PatchTST-style transformer encoder with JEPA predictive loss + SIGReg regularization (Balestriero & LeCun arXiv:2511.08544; time-series placement from ChronoJEPA). Token-level SIGReg (dual placement) to avoid time-axis collapse (confirmed real by ChronoJEPA). Baseline val_vol_r2=-0.1543 on first run — expected for fresh weights with new architecture. Agent will iterate. SIGReg source: Epps-Pulley statistic, identical math to LeJEPA MINIMAL.md. Refs: #3 (TS-JEPA reproduce), ChronoJEPA github.com/MrRobotop/ChronoJEPA Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Description
JEPA-based latent representation learning for FX trading risk management — research project
370 KiB
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Python
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