TABL-ABM: A Hybrid Framework for Synthetic LOB Generation

By Ollie Olby, Rory Baggott, Namid Stillman

Published 2025-10-26

Everscope rating

1715.4

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: TABL-ABM Hybrid Framework. Problem types: Generative Modeling, Time Series Forecasting, Classification, Multi-task Learning, Imbalanced Learning.

arXiv:2510.22685 · Paper rankings

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