Trading Applications
Enterprise API Services
Real-time risk management and standardized API connectivity (FIX, REST, GraphQL, WebSocket) that integrate AI-driven strategies with existing OMS/PMS systems.
Enterprise trading has requirements a research prototype doesn't: strategies have to plug into existing systems, stay inside risk limits, and leave an auditable trail. This layer provides the risk controls and integration surface that make the platform deployable in a real trading operation.
Overview
Two capabilities anchor the enterprise layer:
- Real-time risk management: continuous monitoring of exposure, P&L, and key risk metrics, feeding back into trading decisions.
- Standardized connectivity: FIX, REST, GraphQL, and WebSocket endpoints that interoperate with existing OMS/PMS systems.
Risk management
The risk module aggregates data from live trading and model outputs to assess portfolio risk continuously. It interfaces with both the execution engine and the intelligent core, raising alerts and adjustments when thresholds are approached, so strategies stay within acceptable parameters rather than discovering limits after the fact.
Integration gateway
A single gateway lets external systems connect to the platform over the protocol they already use. Enterprises can plug in proprietary models or tune parameters through the same APIs, and deploy on-premise, in the cloud, or hybrid to meet their operational and latency constraints.
Transparency
Trading actions and model decision rationales are logged with timestamps, providing an audit trail that supports oversight and explainability without slowing the trading path.
In practice
- Enterprise platforms: hedge funds, asset managers, and banks pair AI-driven strategies with real-time risk monitoring.
- Custom pipelines: proprietary models and parameters slot in through standardized APIs.
- Operational oversight: risk dashboards and audit trails keep decisions and execution visible.