Integration Best Practices
Follow established patterns to build robust, maintainable Smart Money API integrations. This guide covers code organization, error handling, testing strategies, and operational excellence practices.
Code Organization
Separate API clients from business logic. Create dedicated API client classes with built-in retry logic, timeout handling, and error translation. Keep signal detection logic separate from execution logic. Use dependency injection for testability.
Error Handling
Implement comprehensive error handling: Distinguish transient errors (retry with backoff) from permanent errors (fail fast). Log all errors with context (request, response, timestamp). Implement graceful degradation—fall back to simpler strategies if advanced data unavailable.
Data Validation
Validate all API responses. Check data types, ranges, required fields. Reject malformed data. Log validation errors. Don't process incomplete or suspicious data.
Logging
Log API requests/responses in development. Log signal generation with confidence scores. Log all trades executed with entry, exit, and P&L. Use structured logging (JSON) for easy parsing. Implement log rotation to manage disk space.
Testing Strategy
Unit test signal detection logic separately. Integration test with sandbox API. Load test before production. Test failure scenarios (API timeout, missing data, network errors). Implement chaos testing—randomly inject failures to verify resilience.
Documentation
Document your implementation architecture. Explain signal generation logic. Document dependencies and versions. Maintain runbook for common issues. Keep architecture diagrams updated.
Version Control
Use Git for all code. Tag releases. Maintain changelog. Review all changes before merging. Use branch protection rules to prevent direct main branch commits.
Dependency Management
Pin library versions. Regularly update dependencies. Test updates in staging before production. Implement automated dependency scanning for security vulnerabilities.
Metrics & KPIs
Track trading metrics: win rate, average gain/loss, Sharpe ratio, drawdown. Track operational metrics: API uptime, signal latency, system stability. Use metrics to guide optimization efforts.