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UQ-LOB: Uncertainty-Aware Limit Order Book Mid-Price Forecasting

Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.AI · 人工智能 · first seen 2026-09-28

Abstract

Forecasting short-horizon mid-price movements from limit order book (LOB) data is central to algorithmic trading, yet most deep LOB forecasters are point predictors: they output a direction or a displacement, but never indicate which of their forecasts can be trusted. We introduce UQ-LOB, a lightweight, encoder-agnostic uncertainty quantification module that attaches to any pretrained LOB encoder

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#13 most recent of 420 cs.AI papers we have recorded · ↑ newer: Prompt Minimization: Reducing Input Redundancy Without Sacrificing Out · ↓ older: "AI is (not) the new...": A Diagnostic Analogy Framework for Generativ
Cite this page: UQ-LOB: Uncertainty-Aware Limit Order Book Mid-Price Forecasting: the #13 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/uq-lob-uncertainty-aware-limit-order-book-mid-price-forecasting.html
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