LEMs: A Primer On Large Execution Models

By Rémi Genet, Hugo Inzirillo

Published 2025-10-01

Everscope rating

1480.6

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

4 / 5

About this paper

Methodology: Large Execution Models (LEMs). Problem types: Algorithmic Execution, Optimization, Time Series Forecasting, Multi-task Learning, Sequence-to-Sequence Learning, Risk Management.

arXiv:2509.25211 · Code · Paper rankings

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