stock-bot/docs/intelligence-services/strategy-orchestrator/README.md

3.2 KiB

Strategy Orchestrator

Overview

The Strategy Orchestrator service coordinates the execution and lifecycle management of trading strategies within the stock-bot platform. It serves as the central orchestration engine that translates trading signals into executable orders while managing strategy state, performance monitoring, and risk integration.

Key Features

Strategy Lifecycle Management

  • Strategy Registration: Onboarding and configuration of trading strategies
  • Version Control: Management of strategy versions and deployments
  • State Management: Tracking of strategy execution state
  • Activation/Deactivation: Controlled enabling and disabling of strategies

Execution Coordination

  • Signal Processing: Consumes and processes signals from Signal Engine
  • Order Generation: Translates signals into executable trading orders
  • Execution Timing: Optimizes order timing based on market conditions
  • Multi-strategy Coordination: Manages interactions between strategies

Performance Monitoring

  • Real-time Metrics: Tracks strategy performance metrics in real-time
  • Alerting: Notifies on strategy performance anomalies
  • Execution Quality: Measures and reports on execution quality
  • Strategy Attribution: Attributes P&L to specific strategies

Risk Integration

  • Pre-trade Risk Checks: Validates orders against risk parameters
  • Position Tracking: Monitors strategy position and exposure
  • Risk Limit Enforcement: Ensures compliance with risk thresholds
  • Circuit Breakers: Implements strategy-specific circuit breakers

Integration Points

Upstream Connections

  • Signal Engine (for trading signals)
  • Feature Store (for real-time feature access)
  • Market Data Gateway (for market data)
  • Backtest Engine (for optimized parameters)

Downstream Consumers

  • Order Management System (for order execution)
  • Risk Guardian (for risk monitoring)
  • Trading Dashboard (for strategy visualization)
  • Data Catalog (for strategy performance data)

Technical Implementation

Technology Stack

  • Runtime: Node.js with TypeScript
  • State Management: Redis for distributed state
  • Messaging: Event-driven architecture with message bus
  • Database: Time-series database for performance metrics
  • API: RESTful API for management functions

Architecture Pattern

  • Event-driven architecture for reactive processing
  • Command pattern for strategy operations
  • State machine for strategy lifecycle
  • Circuit breaker pattern for fault tolerance

Development Guidelines

Strategy Integration

  • Strategy interface specification
  • Required callback implementations
  • Configuration schema definition
  • Testing and validation requirements

Performance Optimization

  • Event processing efficiency
  • State management best practices
  • Resource utilization guidelines
  • Latency minimization techniques

Operational Procedures

  • Strategy deployment process
  • Monitoring requirements
  • Troubleshooting guidelines
  • Failover procedures

Future Enhancements

  • Advanced multi-strategy optimization
  • Machine learning for execution optimization
  • Enhanced strategy analytics dashboard
  • Dynamic parameter adjustment
  • Auto-scaling based on market conditions
  • Strategy recommendation engine