Dump Detection

Dump Detection is a computational method designed to identify sudden, large-scale sell orders in financial markets that may indicate manipulative trading behavior, distinguishing itself from other market anomaly detection techniques by specifically targeting rapid, volume-driven price declines indicative of predatory dumping.

29

Publications

1.1K

Citations

82

Authors

45

Institutions

Publications per year

2017–2026

9

Authors

82

  1. ST
    Suttipong Thajchayapong

    National Electronics and Computer Technology Center, Thailand

    3 publications · 80 citations

    3

    h-index

  2. PT
    Poj Tangamchit

    King Mongkut's University of Technology Thonburi, Thailand

    3 publications · 80 citations

    3

    h-index

  3. TL
    Teema Leangarun

    National Electronics and Computer Technology Center, Thailand

    3 publications · 80 citations

    3

    h-index

  4. KC
    Keeley Crockett

    Manchester Metropolitan University, United Kingdom

    1 publications · 11 citations

    1

    h-index

  5. JS
    J.H. Schultz

    Fusion Academy, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 82

Venues

  1. 2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 34 citations

    2

    h-index

  3. Journal of International Economics

    1 publications · 22 citations

    1

    h-index

  4. CAAI Transactions on Intelligence Technology

    1 publications · 26 citations

    1

    h-index

  5. Software Practice and Experience

    1 publications · 72 citations

    1

    h-index

1–5