Files
foxhunt/trading_engine
jgrusewski 0cd1688327 🚀 Wave 127 Wave 1: Foundation Fixes (4 agents)
**Mission**: Close gap between Wave 126 "theoretical 100%" and operational readiness

**Agent 118: Database Schema** 
- Created migration 020_create_executions_table.sql
- Added executions table with 9 columns, 5 indexes
- Foreign key to orders table with CASCADE
- UNBLOCKED load testing (Agent 123)

**Agent 119: GPU Docker Configuration**  (USER PRIORITY)
- Updated docker-compose.yml with NVIDIA runtime
- Configured GPU environment variables for ML service
- Verified RTX 3050 Ti accessible (nvidia-smi working)
- CUDA 13.0 enabled in container
- SATISFIED user requirement: "Ensure GPU is working in docker"

**Agent 120: Prometheus HTTP Exporters** ⚠️ PARTIAL
- Added Prometheus dependencies to all 4 services
- Implemented /metrics endpoints with Axum HTTP servers
- Services compiled and running healthy
- ISSUE: HTTP endpoints not responding (needs investigation)

**Agent 121: Test Fixes** ⚠️ PARTIAL
- Fixed timing test in trading_engine (TSC availability check)
- Trading engine: 100% pass rate (298/298)
- NEW ISSUE: PPO continuous policy test failing (log probabilities)
- Overall: 99.83% pass rate (574/575 in ml crate)

**Wave 1 Results**:
- Critical path:  Database schema unblocked load testing
- User requirement:  GPU working in Docker
- Monitoring:  Prometheus needs fix
- Testing: ⚠️ 99.83% pass rate (1 new failure)

**Files Modified** (11):
- migrations/020_create_executions_table.sql (new)
- docker-compose.yml (GPU runtime)
- services/*/src/main.rs (4 files - Prometheus exporters)
- services/*/Cargo.toml (3 files - dependencies)
- trading_engine/src/timing.rs (test fix)

**Next**: Wave 2 - Execution Validation (6 agents)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-08 09:06:28 +02:00
..

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.