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New architecture FastBiNLOB achieves lower latency in limit order book prediction

Researchers have explored the relationship between inference compute and predictive loss in limit order book prediction, finding it can be described by a power law. This study introduces FastBiNLOB, a new architecture designed for hardware efficiency and lower latency. In experiments, FastBiNLOB demonstrated superior performance, exceeding established macro-F1 targets at reduced latency compared to existing state-of-the-art models. AI

IMPACT Introduces a novel architecture for financial market prediction, potentially improving trading strategy efficiency and latency.

RANK_REASON The cluster contains a research paper detailing a new architecture and findings in limit order book prediction.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New architecture FastBiNLOB achieves lower latency in limit order book prediction

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The cluster contains a research paper detailing a new architecture and findings in limit order book prediction.
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2 independent sources
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paper, model release
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94 days old
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · C. Evans Hedges ·

    The Inference-Compute Frontier and a Latency-Efficient Architecture for Limit Order Book Prediction

    arXiv:2606.25986v1 Announce Type: new Abstract: We study whether a scaling-law-style inference-compute frontier appears in limit order book prediction. Using FI-2010 and a suite of models ranging from small decision trees to neural LOB architectures, we find that the realized emp…

  2. arXiv cs.LG TIER_1 English(EN) · C. Evans Hedges ·

    The Inference-Compute Frontier and a Latency-Efficient Architecture for Limit Order Book Prediction

    We study whether a scaling-law-style inference-compute frontier appears in limit order book prediction. Using FI-2010 and a suite of models ranging from small decision trees to neural LOB architectures, we find that the realized empirical frontier of predictive loss versus struct…