Algorithmic Trading Surveillance
Algorithmic Trading Surveillance is a systematic monitoring framework within financial market oversight that specifically detects and analyzes algorithmically generated trading behaviors to identify potential manipulative or non-compliant activities distinct from conventional trading patterns.
20
Publications
595
Citations
58
Authors
35
Institutions
Publications per year
2017–2026
6
Parents
20
1–5 of 20
58
2
h-index
2
h-index
2
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2
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1–5 of 58
35
University of Technology Sydney
Sydney, Australia
2 h-index
4 publications
56 citations
IBM (United States)
Armonk, United States
2 h-index
19 publications
358 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
44 citations

Henan University
Kaifeng, China
1 h-index
1 publications
20 citations

Buffalo State University
Buffalo, United States
1 h-index
1 publications
19 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
1 publications
19 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
11 citations
Central European University
Vienna, Austria
1 h-index
1 publications
13 citations
1–8 of 35
2 publications · 45 citations
2
h-index
1 publications · 11 citations
1
h-index
1 publications · 25 citations
1
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1 publications · 147 citations
1
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Repository · 1 publications · 13 citations
1
h-index
1–5