High-Performance Trading Engine

A ultra-low latency trading engine built with modern C++23, featuring GPU acceleration, coroutines, and sub-microsecond performance.

• Performance Benchmarks - Detailed latency and throughput metrics
• Design Decisions - Technical architecture choices and tradeoffs
• API Reference - gRPC service definitions and usage examples
• Test Coverage - Unit test coverage and testing strategy

• Ultra-Low Latency: Sub-microsecond order matching with lock-free data structures
• Memory Optimized: Custom allocators and memory pools for zero-allocation trading
• SIMD Optimizations: Vectorized price calculations using AVX2/AVX-512
• Lock-Free Architecture: Atomic operations and memory ordering for maximum throughput

• High-Throughput UDP: Multicast market data feed handling
• Coroutine-Based: Async processing with C++20 coroutines
• Binary Protocol Support: FIX/FAST protocol parsing
• Hardware Timestamping: Nanosecond precision timing

• CUDA Integration: GPU-based price calculations and risk analytics
• Parallel Processing: Vectorized operations for portfolio calculations
• Real-time VaR: GPU-accelerated Value-at-Risk calculations
• Option Pricing: Black-Scholes and Monte Carlo simulations

• Real-time Monitoring: Position tracking and exposure limits
• Circuit Breakers: Automatic trading halts on risk thresholds
• Multi-threaded: Parallel risk calculations
• Hot Configuration: Runtime parameter updates without restart

• gRPC API: High-performance order entry and market data
• REST Endpoints: Management and monitoring interfaces
• WebSocket Streams: Real-time market data distribution
• Prometheus Metrics: Comprehensive performance monitoring

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Market Data │ │ Order Entry │ │ Risk Manager │
│ Feed Handler │ │ (gRPC API) │ │ │
└─────────┬───────┘ └─────────┬───────┘ └─────────┬───────┘
 │ │ │
 ▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────┐
│ Matching Engine Core │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────┐ │
│ │ Order Book │ │ Trade Exec │ │ GPU Price Calc │ │
│ │ (Lock-Free) │ │ Engine │ │ (CUDA Kernels) │ │
│ └─────────────┘ └─────────────┘ └─────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
 │ │ │
 ▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Trade Store │ │ Monitoring │ │ Simulation │
│ & Analytics │ │ & Metrics │ │ & Backtesting │
└─────────────────┘ └─────────────────┘ └─────────────────┘

• Language: C++23 with concepts, coroutines, and ranges
• Concurrency: std::jthread, atomic operations, lock-free containers
• GPU Computing: CUDA 12.0+ with cuBLAS
• Networking: Custom UDP/TCP with epoll (Linux) / IOCP (Windows)
• Serialization: Protocol Buffers with gRPC
• Build System: CMake with Conan/vcpkg dependencies
• Containerization: Docker with NVIDIA runtime
• Monitoring: Prometheus + Grafana dashboards
• Testing: Google Test + Google Benchmark

• C++23 compatible compiler (GCC 12+, Clang 15+)
• CUDA Toolkit 12.0+
• CMake 3.20+
• Docker & Docker Compose (optional)

# Clone repository
git clone https://github.com/Brijes987/ChronoTrade.git
cd trading-engine
# Install dependencies (Ubuntu/Debian)
sudo apt-get update
sudo apt-get install -y build-essential cmake libprotobuf-dev protobuf-compiler \
 libgrpc++-dev libgrpc-dev libbenchmark-dev libgtest-dev
# Build
mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_STANDARD=23 ..
make -j$(nproc)
# Run
./trading_engine

# Start full stack with monitoring
docker-compose up -d
# View logs
docker-compose logs -f trading-engine
# Access Grafana dashboard
open http://localhost:3000 (admin/admin)

![Grafana Dashboard Screenshot - add after first run]

Live performance dashboard showing latency heatmaps, throughput metrics, and system resource utilization

• Order Processing: 387ns median, 512ns P99 latency
• Market Data Processing: < 100 nanoseconds per message
• Trade Execution: < 1 microsecond end-to-end
• Risk Calculations: < 50 microseconds for 10K positions

For detailed benchmark results and methodology, see BENCHMARKS.md.

• CPU: Intel Xeon or AMD EPYC (16+ cores recommended)
• Memory: 32GB+ DDR4-3200
• GPU: NVIDIA RTX 3080+ or Tesla V100+ (optional)
• Network: 10Gbps+ low-latency network interface
• Storage: NVMe SSD for logging and analytics

cd build
ctest --output-on-failure

./benchmarks/matching_engine_benchmark
./benchmarks/market_data_benchmark
./benchmarks/gpu_calculations_benchmark

# Start market data simulator
./tools/market_simulator --symbols AAPL,GOOGL,MSFT --rate 10000
# Run backtesting
./tools/backtest --strategy momentum --data historical_data.csv

• Latency Percentiles: P50, P95, P99, P99.9
• Throughput: Messages/trades per second
• Resource Usage: CPU, memory, GPU utilization
• Error Rates: Failed orders, network errors
• Business Metrics: PnL, positions, risk exposure

• Real-time latency heatmaps
• Order flow visualization
• Risk exposure monitoring
• System performance metrics
• Trade execution analytics

# config/engine.yaml
matching_engine:
 max_orders_per_symbol: 100000
 price_precision: 4
 enable_gpu_acceleration: true
market_data:
 udp_buffer_size: 65536
 processing_threads: 4
 enable_hardware_timestamps: true
risk_management:
 max_position_size: 1000000
 max_daily_loss: 100000
 enable_circuit_breakers: true

# CPU isolation
echo 2-15 > /sys/fs/cgroup/cpuset/trading/cpuset.cpus
# Network optimization
echo 'net.core.rmem_max = 134217728' >> /etc/sysctl.conf
echo 'net.core.wmem_max = 134217728' >> /etc/sysctl.conf
# Disable CPU frequency scaling
echo performance > /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

• Follow C++ Core Guidelines
• Maintain sub-microsecond latency requirements
• Add comprehensive tests for new features
• Update benchmarks for performance-critical changes
• Document API changes

This project is licensed under the MIT License - see the LICENSE file for details.

• C++ Core Guidelines
• Lock-Free Programming
• High-Frequency Trading Architecture
• CUDA Best Practices

⚡ Built for Speed. Engineered for Scale. Optimized for Performance.