English(EN) The Inference-Compute Frontier and a Latency-Efficient Architecture for Limit Order Book Prediction

新架构FastBiNLOB在限价订单簿预测中实现低延迟

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-24 15:54

研究人员探索了推理计算与限价订单簿预测中的预测损失之间的关系，发现可以用幂律来描述。本研究提出了FastBiNLOB，一种专为硬件效率和低延迟设计的新架构。在实验中，FastBiNLOB表现出卓越的性能，在降低延迟的同时超过了现有的最先进模型的宏观F1目标。 AI

影响引入了一种新颖的金融市场预测架构，有望提高交易策略的效率和延迟。

排序理由该集群包含一篇研究论文，详细介绍了限价订单簿预测中的新架构和发现。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · C. Evans Hedges · 2026-06-25 04:00

推理-计算前沿与用于限价订单簿预测的低延迟架构

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…
arXiv cs.LG TIER_1 English(EN) · C. Evans Hedges · 2026-06-24 15:54

推理-计算前沿与用于限价订单簿预测的低延迟架构

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…