Case study · Quant / Fintech
Automated Trading Algorithm
A custom automated trading system that encodes a client's strategy as rules, applies risk controls, and runs without manual intervention.
- Project type
- Algorithmic trading system
- Status
- Confidential Engagement — Private client system
- Ownership
- Client-owned system. Client and strategy details are confidential.
- Attribution
- Engineered by ORVINUS TECHNOLOGIES LLP.
The engagement
Problem, Approach, Contribution
Business problem
The client wanted their strategy executed consistently and around the clock, without manual order entry or discretionary overrides.
Engineering approach
ORVINUS formalized the strategy into precise, testable rules and built an automated system around it: real-time signal processing, risk modeling with position and exposure limits, and unattended execution with monitoring.
ORVINUS contribution
Strategy formalization, signal processing, risk controls and the automated execution layer.
Capabilities
Key Capabilities
- Rules-based strategy engine
- Real-time signal processing
- Position and exposure limits
- Unattended execution with monitoring
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