Algorithmic Strategy Design

Algorithmic Strategy Design is an academic concept denoting a systematic framework within algorithmic trading that specifies the principles and methodologies for constructing, validating, and optimizing automated trading rules based on quantifiable market signals, statistical models, or machine learning techniques to achieve predefined financial objectives.

57

Publications

2.6K

Citations

151

Authors

93

Institutions

Publications per year

2017–2026

24

Authors

151

  1. WB
    Warren B. Powell

    Princeton University, United States

    3 publications · 40 citations

    3

    h-index

  2. KB
    Khaled Benfriha

    HESAM Université, France

    2 publications · 30 citations

    2

    h-index

  3. OA
    Oussama Adjoul

    Arts et Métiers, France

    2 publications · 30 citations

    2

    h-index

  4. AA
    Améziane Aoussat

    Arts et Métiers, France

    2 publications · 30 citations

    2

    h-index

  5. SQ
    Shuang Qiu

    Tsinghua University, China

    1 publications · 23 citations

    1

    h-index

1–5 of 151

Venues

  1. Computational Economics

    2 publications · 30 citations

    2

    h-index

  2. Memetic Computing

    1 publications · 36 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 52 citations

    1

    h-index

  4. IEEE Internet of Things Journal

    1 publications · 42 citations

    1

    h-index

  5. Journal of Computer Information Systems

    1 publications · 50 citations

    1

    h-index

1–5