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
186
Inferring Trade Direction from Intraday Data
Charles M.C. Lee, Mark J. Ready · The Journal of Finance · 1991 · 3K citations
Business, Data Science, Data Mining +11
Inferring Trade Direction from Intraday Data
Charles M.C. Lee, Mark J. Ready · The Journal of Finance · 1991 · 988 citations · Full text
Business, Data Science, Data Mining +11
Does Simple Pairs Trading Still Work?
Binh Do, Robert W. Faff · Financial Analysts Journal · 2010 · 230 citations
1–5 of 186
539
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h-index
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3
h-index
3
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1–5 of 539
290
University College London
London, United Kingdom
6 h-index
7 publications
673 citations

South China University of Technology
Guangzhou, China
4 h-index
11 publications
316 citations

Cornell University
Ithaca, United States
4 h-index
4 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
356 citations
Princeton University
Princeton, United States
3 h-index
8 publications
229 citations

University of Johannesburg
Johannesburg, South Africa
3 h-index
6 publications
186 citations

Wilfrid Laurier University
Waterloo, Canada
3 h-index
3 publications
117 citations
University of Virginia
Charlottesville, United States
3 h-index
10 publications
352 citations
1–8 of 290
18 publications · 1.4K citations
17
h-index
Repository · 12 publications · 326 citations
11
h-index
6 publications · 263 citations
6
h-index
5 publications · 163 citations
5
h-index
3 publications · 78 citations
3
h-index
1–5