generated from mathias/template-go-web
3aded95ef1982afa714c3740dfbb702e49230fdb
HPO sweep (18 configs, D_MODEL×DEPTH×WINDOW grid): Best: D_MODEL=128 DEPTH=2 WINDOW=120 → phase1_r2=0.3908 Worst: D_MODEL=64 (all configs) → max phase1_r2=0.3653 Key findings: - WINDOW=120 (5 days) > 240 > 480 — FX vol prediction is local, not regime-scale - DEPTH=4 doesn't improve over DEPTH=2 — 2 causal layers sufficient - D_MODEL=64 undercapacity; 128 and 256 comparable Updated WINDOW default: 240 → 120 (HPO winner). 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
Languages
Python
76.4%
Go
18.4%
Shell
4.3%
templ
0.6%
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0.3%