Brahim El Habil

Papers

Total Citations

H-Index

About

Brahim El Habil is a researcher at the forefront of algorithmic finance and automated trading systems, with a focused expertise in developing intelligent robot traders that integrate robust money management strategies. His most-cited work, "Money Management Limits to Trade by Robot Trader for Automatic Trading" (2018, 7 citations), makes a foundational contribution by systematically analyzing technical indicators and modular components designed to optimize trade execution. In this paper, El Habil distinguishes between discretionary and algorithmic trading, emphasizing how disciplined capital allocation and risk limits can transform raw market data into reliable, automated decision-making. By bridging the gap between theoretical finance and practical software engineering, his research provides a blueprint for building trading bots that prioritize capital preservation alongside profit generation. While his citation count reflects a growing niche, El Habil’s work is notable for its direct applicability—offering students and practitioners a clear methodology for constructing robot traders that operate within defined money management boundaries. His contributions are particularly valuable for researchers exploring the intersection of machine learning, technical analysis, and real-time financial systems, positioning him as a practical innovator in the evolving landscape of automated trading.