Khalid Abouloula

Papers

Total Citations

H-Index

About

Khalid Abouloula is a researcher at the forefront of algorithmic finance, specializing in the development and optimization of automated trading systems. His work centers on bridging the gap between discretionary trading strategies and fully autonomous algorithmic execution, with a particular focus on robust money management techniques. Abouloula’s major contributions include the design of technical indicator modules and risk-control frameworks that enable robot traders to operate with discipline and consistency, reducing human emotional bias in financial markets. His most influential paper, "Money Management Limits to Trade by Robot Trader for Automatic Trading," has garnered 7 citations, establishing a foundation for integrating capital preservation rules into automated trading logic. A follow-up study, "Using a Robot Trader for Automatic Trading," which has received 3 citations, further explores the architecture of trading bots and the classification of trading approaches. While his citation counts reflect a growing niche, Abouloula’s work is notable for its practical orientation, offering implementable solutions for retail and institutional traders alike. His research continues to inform the development of smarter, safer algorithmic trading systems.