Shaheen Apex: Autonomous Multi-Agent Algorithmic Execution and Quantitative Intelligence Architecture
Year: 2026
Type: article
Abstract: :This paper introduces the Shaheen Apex Architecture, a high-performance autonomous multi-agent quantitative framework designed for real-time market analysis, dynamic liquidity routing, and resilient risk mitigation in high-volatility financial environments. The system integrates advanced mathematical optimization models with distributed algorithmic execution engines to eliminate systemic execution lag and optimize risk-adjusted returns (Sharpe and Sortino metrics). We provide the formal algorithmic specifications, state transition matrices, and empirical validation demonstrating superior computational efficiency, sub-millisecond signal routing, and deterministic drawdown constraints compared to classical benchmark models.
Author: Al-Araishi, Ayman
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7223677640