Architecting a secure microservices-based trading mesh that enables 100% autonomous execution through adaptive algorithms while maintaining non-custodial fund sovereignty.
Trusted by Leading Fortune 500 Innovators
US-based enterprise targeting working professionals who require algorithmic trading advantages without manual intervention.
Quant Engineer + FinTech Architect + Security Lead embedded to build a modular, high-availability trading core.
Bridge the behavioral gap between investor desire for returns and the lack of time/discipline for manual execution.
Python-based analytics engine, React Native interface, and secure API bridges for non-custodial account linkage.
The client identified a structural failure in retail investing: professionals wanted market exposure but lacked the emotional discipline and time to compete with institutional algorithmic players. Existing retail tools were either too simple (manual) or too complex (requiring coding).
The technical challenge was trust. Users are hesitant to surrender custody of funds. The platform required a 'Set-and-Forget' solution that connects to existing brokerages via encrypted APIs, ensuring 100% fund sovereignty while executing adaptive trade timing.
UI, Analytics, and Execution tied together; a failure in one crashed the entire trading cycle.
Execution engine operates independently from the UI and Analytics modules via secure gRPC/REST.
Users had no visibility into why trades were executed, leading to low engagement during drawdowns.
Integrated backtesting and paper trading sandboxes allow for 100% strategy verification.
Manual browser-based trading resulted in poor fill prices during market spikes.
Automated API-native execution ensures sub-45ms routing to major market segments.
Built a high-fidelity simulation environment using live market data to allow risk-free strategy validation before capital deployment.
Platform logic is designed so that Coretus/Client never sees or touches user funds—only the instructions are sent to the broker.
Simultaneous execution across Stocks, F&O, and ETFs, managed through a central risk-management service.
Pre-built, pre-audited modules for secure API handshake with Tier-1 US brokerages.
Historical data ingestion templates for rapid strategy performance verification and drawdown modeling.
Real-time monitoring for execution errors, API heartbeat, and strategy drift dashboards.
Automated risk-management modules to prevent over-leveraging and maintain margin requirements.
Achieved a design where funds never leave the user's brokerage, removing the largest psychological barrier to adoption.
Automation removed the need for daily manual logins and emotional decision-making.
Microservices on K8s maintain stable sub-45ms latency to ensure optimal fill rates for retail users.
Client Testimonial
Coretus didn't just build an app—they architected a professional-grade trading engine for retail. Their microservices approach gives us the exact modularity we need to scale our strategy library while maintaining 100% user fund sovereignty.
Chief Investment Officer