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All 12 validation agents complete: - Agent 1: E2E auth testing (11/11 tests pass, 8-layer validation) - Agent 2: Load testing framework ready (4 scenarios documented) - Agent 3: Docker deployment (6/6 infra services healthy) - Agent 4: Database integration (4 migrations, 6 NOTIFY channels, RBAC) - Agent 5: TLI client integration (JWT auth, OS keyring, API Gateway) - Agent 6: Performance profiling (978ns pipeline, 3 optimization recommendations) - Agent 7: Security penetration testing (OWASP Top 10, 3 critical findings) - Agent 8: gRPC proxy testing (3 proxies, 100% test pass, 5-8μs overhead) - Agent 9: Monitoring validation (Prometheus + Grafana, 5 issues identified) - Agent 10: Rate limiting stress test (8/8 tests pass, 99% attack mitigation) - Agent 11: Production readiness (7/9 criteria, 2 P0 blockers identified) - Agent 12: Documentation audit (92% complete, A- grade, production ready) Deliverables: - 30+ validation reports created (150+ KB documentation) - All 5 Dockerfiles updated with complete workspace - Redis/PostgreSQL integration tests operational - Comprehensive performance profiling completed - Security vulnerabilities documented with remediation 🔴 CRITICAL P0 BLOCKERS IDENTIFIED: 1. Audit trail persistence (trading_engine/src/compliance/audit_trails.rs:857) - Impact: SOX/MiFID II compliance violation - Status: Events not saved to database (only printed) 2. Test suite validation timeout - Historical: 1,919/1,919 tests passing (100%) - Current: Timeout after 2 minutes - Impact: Cannot certify regression-free state ⚠️ CRITICAL SECURITY VULNERABILITIES: 1. Authentication DISABLED (services/trading_service/src/main.rs:298-302) 2. Execution engine PANICS (execution_engine.rs:661,667,674) 3. Audit trail persistence (covered above) Production Decision: CONDITIONAL GO - Must fix 2 P0 blockers before production deployment - 7/9 production criteria met (78%) - SOX: 87.5% compliant, MiFID II: 87.5% compliant - Documentation: 92% complete (4,329 production lines) Next Wave: Address P0 blockers + performance optimization
Backtesting Service
Overview
The backtesting_service offers an independent and isolated environment for rigorously testing and validating trading strategies against historical market data. It provides a robust platform for simulating trading performance, analyzing strategy efficacy, and generating comprehensive performance reports before live deployment.
Features
- Independent Backtesting Service: Operates autonomously, allowing for parallel and isolated strategy evaluations.
- gRPC API for Backtest Execution: Exposes a clear API for submitting and managing backtesting jobs.
- Strategy Testing and Validation: Enables comprehensive testing of various trading strategies under different market conditions.
- Performance Reporting: Generates detailed reports including metrics like P&L, Sharpe ratio, drawdown, and win rate.
- Data Replay Engine: Accurately replays historical market data, simulating real-world order book dynamics and trade execution.
- Results Persistence: Stores backtesting results and reports for historical analysis and comparison.
gRPC API
The backtesting_service exposes a gRPC API for initiating and retrieving backtest results. Key endpoints include:
RunBacktest- Submit backtest configuration and strategyGetBacktestResults- Retrieve results for completed backtestsListAvailableStrategies- List registered strategiesGetBacktestReport- Get detailed performance report
Running the service
To run the backtesting_service binary:
cargo run --bin backtesting_service
Data Requirements
The service requires historical market data in Parquet format:
- Data should be stored in the configured data directory
- Supports tick data, order book snapshots, and OHLCV candles
- Data must include instrument, timestamp, and price/quantity fields
Testing
To run the tests for the backtesting_service crate:
cargo test --package backtesting_service
Documentation
Comprehensive API documentation is available at docs.rs/backtesting_service.