Algorithmic Trading Analytics

Algorithmic Trading Analytics is a specialized domain of financial analytics that employs computational algorithms and statistical models to analyze and optimize automated trading strategies by systematically evaluating high-frequency market data, execution performance, and risk-return trade-offs inherent in algorithm-driven market participation.

186

Publications

11.9K

Citations

539

Authors

290

Institutions

Publications per year

2017–2026

115

Authors

539

  1. LM
    Luca Maria Aiello

    University of Turin, Italy

    3 publications · 292 citations

    3

    h-index

  2. LA
    Laura Alessandretti

    Technical University of Denmark, Denmark

    3 publications · 292 citations

    3

    h-index

  3. AS
    Andriy Shkilko

    Wilfrid Laurier University, Canada

    3 publications · 117 citations

    3

    h-index

  4. AB
    Andrea Baronchelli

    City, University of London, United Kingdom

    3 publications · 292 citations

    3

    h-index

  5. BC
    Bidisha Chakrabarty

    Saint Louis University, United States

    3 publications · 117 citations

    3

    h-index

1–5 of 539

Venues

  1. Expert Systems with Applications

    18 publications · 1.4K citations

    17

    h-index

  2. SSRN Electronic Journal

    Repository · 12 publications · 326 citations

    11

    h-index

  3. Applied Soft Computing

    6 publications · 263 citations

    6

    h-index

  4. Finance research letters

    5 publications · 163 citations

    5

    h-index

  5. Decision Support Systems

    3 publications · 78 citations

    3

    h-index

1–5