Wave 144: Enable 112 infrastructure and E2E tests - Remove #[ignore] from PostgreSQL tests (41 tests) - Remove #[ignore] from Redis tests (18 tests) - Remove #[ignore] from Vault tests (11 tests) - Remove #[ignore] from E2E tests (42 tests: service health, backtesting, trading) - Fix test_metrics_output (add metrics initialization) - Create infrastructure health check script Wave 145: Fix JWT authentication for E2E tests - Add JWT_SECRET, JWT_ISSUER, JWT_AUDIENCE to Trading Service - Add JWT_SECRET, JWT_ISSUER, JWT_AUDIENCE to Backtesting Service - Add JWT_SECRET, JWT_ISSUER, JWT_AUDIENCE to ML Training Service - Fix auth_helpers.rs hardcoded issuer/audience values - Migrate E2E tests to TestAuthConfig pattern Root Cause (Wave 145): Backend services missing JWT environment variables Solution: Unified JWT configuration across all services Result: Services healthy, E2E tests need .env sourced for validation Agents: 311-320 (Wave 144), 331-342 (Wave 145) Files Modified: 35 (14 modified, 21 created) Documentation: 21 reports created (1,455+ lines) Co-Authored-By: Claude <noreply@anthropic.com>
Trading Engine Crate
Overview
The trading_engine crate provides the high-performance core infrastructure essential for High-Frequency Trading (HFT) operations. It focuses on ultra-low latency execution, precise timing, and efficient order management to handle demanding market conditions.
Features
- Extreme Performance Optimization: Utilizes RDTSC for precise timing, CPU affinity for dedicated core execution, and SIMD instructions for vectorized data processing.
- Robust Order Management: Manages the lifecycle of orders, from placement to execution and cancellation, ensuring accuracy and low-latency updates.
- Flexible Execution Engine: Implements a highly optimized engine capable of processing trading strategies and executing orders across various venues.
- Multi-Broker Connectivity: Seamlessly integrates with multiple brokers, including Interactive Brokers and ICMarkets, via specialized adapters.
- Event-Sourced Architecture: Employs event sourcing for deterministic state reconstruction, coupled with comprehensive metrics and persistent storage.
- Concurrent Lock-Free Data Structures: Leverages advanced lock-free data structures to minimize contention and maximize throughput in multi-threaded environments.
Architecture
The trading_engine is structured around several key components:
- Execution Core: The central logic for strategy evaluation and trade decision-making.
- Order Manager: Handles all order-related operations, maintaining order state and communicating with broker adapters.
- Broker Adapters: Abstract interfaces and concrete implementations for connecting to specific trading venues (e.g.,
IbAdapter,IcMarketsAdapter). - Performance Utilities: Modules for RDTSC access, CPU core pinning, and SIMD instruction sets.
- Event Store: A mechanism for recording all significant events, enabling replay and auditability.
- Metrics System: Collects and reports performance and operational statistics.
- Persistence Layer: Stores critical state and event data for recovery and analysis.
- Concurrency Primitives: Custom lock-free queues, rings, and other data structures.
Usage
To initialize the trading engine and place a simple order:
use trading_engine::{
engine::TradingEngine,
order::{Order, OrderSide, OrderType},
broker::BrokerType,
};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut engine = TradingEngine::new();
engine.connect_broker(BrokerType::InteractiveBrokers).await?;
let order = Order {
symbol: "ESZ23".to_string(),
side: OrderSide::Buy,
order_type: OrderType::Limit,
quantity: 1,
price: Some(4500.0),
// ... other order details
};
let order_id = engine.place_order(order).await?;
println!("Placed order with ID: {}", order_id);
Ok(())
}
Testing
To run the tests for the trading_engine crate:
cargo test --package trading_engine
Documentation
Comprehensive API documentation is available at docs.rs/trading_engine.