Riemannian Geometry of Optimal Rebalancing in Dynamic Weight Automated Market Makers

By Matthew Willetts

Published 2026-04-01

Everscope rating

1684.2

Relevance to quantitative trading

8 / 10

Implementation complexity

5 / 10

Reproducibility

3 / 5

About this paper

Methodology: Information Geometry / Riemannian Geometry of the Weight Simplex. Problem types: Optimization, Market Making, Portfolio Optimization, Risk Management.

arXiv:2603.05326 · Paper rankings

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