Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds

By Zhang Jian'an

Published 2025-11-21

Everscope rating

1246.4

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Axiomatic Evaluation Framework with Goodhart Decomposition and Law-Strength Frontiers. Problem types: Reinforcement Learning, Risk Management, Portfolio Optimization, Optimization, Time Series Forecasting.

arXiv:2511.17304 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.