Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading on Solana DEXs: Evidence, Theory, and Design Lessons from a 15-Day Deployment

By Arati Uday Kamat

Published 2026-06-25

Everscope rating

1423.5

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

5 / 5

About this paper

Methodology: Controlled Paper-Trading Deployment with Counterfactual Rejection Tracking. Problem types: Risk Management, Algorithmic Execution, Market Making (AMM context), Causal Inference (counterfactual evaluation), Anomaly Detection (circuit-breaker / adverse-streak detection), Portfolio Optimization (position sizing), Time Series Analysis (hour-of-day stratification).

arXiv:2606.08232 · Code · Paper rankings

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