---
title: Can Machine Learning Unlock New Insights into High-Frequency Trading?
url: https://www.ml-quant.com/papers/ssrn/4826698/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4826698
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4826698
featured: 2024-05-15
citations: 1
topic: Trading, Microstructure & Execution
---


# Can Machine Learning Unlock New Insights into High-Frequency Trading?

Machine learning is being used to explore the link between high-frequency trading and financial market trends, offering new ways to identify different trading strategies and their effects on market information.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4826698
- Identifier: SSRN 4826698
- Released: 2024-04-01
- First featured: Quant Letter No. 49 (2024-05-15): https://www.ml-quant.com/issues/2024-05-15/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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