Published October 25, 2026
| Version v1
Preprint
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High-Frequency Trading and Retail Investors: A Review of Manipulation Research and a Detection Model
Authors/Creators
Description
A review of how high-frequency trading manipulation works, who pays for it, and how it is detected, focused on what retail investors can see in free minute-level data. A detector tested on 20 U.S. stocks and funds raised about five alerts per stock per day, a rate that shuffled data matched, so its alerts flag unusual trading.
Files
HFT Research Paper-Adetayo Agueh.pdf
Additional details
Dates
- Submitted
-
2026-10-26
Software
- Repository URL
- https://github.com/Tigertay0/footprint-hft-detector.git
- Programming language
- Python , JavaScript , CSS