Next-Gen Algorithmic Trading for Financial Institutions
In an increasingly competitive and data-driven environment, institutional investors and financial institutions are under pressure to deliver consistent alpha while meeting strict risk and compliance mandates. Aurex provides access to curated, institutional-grade trading algorithms that are developed, stress-tested, and deployed using robust infrastructure, AI models, and risk controls.
Why Financial Institutions Choose Aurex
Institutional-Grade Infrastructure
Aurex integrates cutting-edge AI, deep backtesting capabilities, and fundamental analysis for algorithm development and monitoring. All algorithms are continuously validated in real-time and operate within predefined risk corridors.
Transparency & Control
Clients retain full visibility and control of capital deployment. Real-time performance, drawdown alerts, and automated trading halts based on defined thresholds ensure professional oversight.
Regulatory Compliant Deployment
Our delivery models (Signal Licensing, Leasing, Managed Accounts) are structured to align with EU and German regulatory standards, enabling fully compliant integration for discretionary mandates, white-labelling, or broker platforms.
Strategic Objectives & Use Cases
1
Discretionary Portfolio Management
Enhance returns with low-beta strategies, diversifying equity or bond-heavy portfolios.
2
Advisory or Execution-Only Models
Offer regulated algo strategies via signal provision or modular software tools.
3
Platform or Broker Integration
Embed Aurex within trading platforms or B2B networks to enrich your product ecosystem.
Market Adoption & Strategic Fit
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According to reports from UBS Global Family Office Report and Preqin, algorithmic trading and AI-based quantitative strategies are increasingly becoming part of institutional asset allocations. The shift toward digitization and cost-efficient alpha generation is accelerating adoption across banks, wealth managers, and hedge funds alike.
Capital reallocation or de-risking phases
Digital transformation and automation initiatives
Modernize underperforming proprietary trading strategies