index / initial-d/ml-quant-trading
ml-quant-trading
PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions.
Research and Evals?InfraReviewPython
Repository
Stars99
LanguagePython
LicenseMIT
Created2025-06-05
Last pushed2026-10-30
Officialno
Judgment
Genuine Jev project0.46
gate 0.5
Uses Jev at runtime0.17
Is a meta list0.04
Is a reimplementation0.40
Quality scales
Substance2.94 / 3
gate 0.5
Docs2.60 / 3
Novelty1.54 / 3
Composite score0.88
Category distribution
Jev's confidence in this category is below 0.5, so the category is shown with a question mark. It is not a listing condition: this entry's status was decided by genuine and substance alone.
Research and Evals0.44
Other0.37
Integrations0.10
Applications0.08
Agent and Dev Tooling0.01
SDKs and Clients0.00
Games and Simulation0.00
Learning0.00
Assigned categoryResearch and Evals (uncertain)
Category probability0.44
Category confidence0.36
PatternInfra
Pattern confidence0.38
Curation
StatusReview
Reasongenuine 0.46 below 0.5
README pickno
Overridenone
Sources
- search:"system one" jev
- search:topic:jev
- search:topic:system-one
Provenance
Modeljev-1.14.0
Question setv2
Judged at2026-10-30 12:12 UTC