RT Journal Article SR Electronic T1 Algorithm Selection JF Trading FD Institutional Investor Journals SP 26 OP 34 VO 2006 IS 1 A1 Jian Yang A1 Brett Jiu YR 2006 UL http://guides.pm-research.com/content/2006/1/26.abstract AB The widespread use of algorithmic trading has led to the question of whether the most suitable algorithm is always being used. We propose a practical framework to help traders qualitatively characterize algorithms as well as quantitatively evaluate comparative performance among various algorithms. We demonstrate the applicability of the quantitative model using historical data from orders executed through ITG Algorithms.