This project is a high-performance, low-latency exchange engine designed for High-Frequency Trading (HFT). It provides efficient order matching, real-time market data processing, and concurrent trade execution using optimized C++ code and lock-free data structures.
The engine is built with multi-threading, memory pooling, and low-latency networking to ensure rapid trade execution and seamless order processing. It is suitable for hedge funds, proprietary trading firms, and developers building their own exchange infrastructure.
- Ultra-low latency order matching using efficient lock-free queues
- Multi-threaded architecture for handling high trade volumes
- Memory pool management for optimized performance
- Logging and debugging support for monitoring exchange activity
- Modular C++ design for easy expansion and customization
- Build system using CMake for easy compilation
Live-High-Frequency-Trading-Exchange-Engine/
│── .ccls-cache/ # Cached files for CCLS (C++ language server)
│── .idea/ # JetBrains IDE configuration files
│── .vscode/ # VS Code settings and configurations
│── Exchange Matching Engine/ # Core components of the exchange engine
│── ExecutablesFile✅/ # Stores compiled executable files
│── build/ # Build output directory
│── cmake-build-debug/ # Debug mode build artifacts
│── cmake-build-release/ # Release mode build artifacts
│── CMakeLists.txt # CMake configuration for building the project
│── LockFreeQueue.cpp # Implementation of a lock-free queue
│── LockFreeQueues.h # Header file for lock-free queue
│── SocketApi.h # Socket API definitions for networking
│── logger.cpp # Logging implementation
│── logging.h # Logging header file
│── macros.h # Project-wide macro definitions
│── main.cpp # Main entry point of the application
│── memory_pool.cpp # Memory pool implementation
│── memory_pool.h # Memory pool header file
│── thread.cpp # Thread management implementation
│── thread_utils.h # Thread utility functions
│── thread_utils.tpp # Thread-related template definitions
│── time_utils.h # Time utility functions
The Exchange Matching Engine is responsible for:
- Receiving incoming orders (buy/sell)
- Matching them using an order book
- Executing trades and updating market data
The project uses lock-free queues (from LockFreeQueue.cpp
) to handle large volumes of order data without blocking threads, ensuring maximum throughput.
SocketApi.h
provides network communication functionality, allowing external clients to connect and send trading instructions to the engine.
- Uses
thread_utils.h
for efficient parallel processing of orders. memory_pool.cpp
ensures efficient memory allocation for order processing.- Orders are stored, matched, and executed in real-time.
logger.cpp
provides real-time logging of exchange activity.- Debugging tools allow monitoring of trade execution performance.
Make sure you have the following installed:
- C++ Compiler (GCC/Clang/MSVC)
- CMake (Version 3.10 or later)
- Linux/macOS/Windows (Linux is recommended for production HFT environments)
- Clone the repository:
git clone https://github.com/ranjan2829/Live-High-Frequency-Trading-Exchange-Engine.git cd Live-High-Frequency-Trading-Exchange-Engine
- Create a build directory and run CMake:
mkdir build && cd build cmake .. make -j4 # Use multiple cores for faster compilation
- Run the exchange engine:
./exchange_engine
Run the compiled executable:
./exchange_engine
This will start the order-matching process and wait for incoming trading requests.
Use a trading client to send orders via SocketApi.h
. Example request format:
BUY 100 AAPL 150.25
SELL 50 TSLA 200.75
Check logger.cpp
for trade execution logs:
tail -f trade_logs.txt
- Memory Pooling reduces heap allocations.
- Lock-Free Queues avoid thread blocking.
- Efficient Multithreading enables parallel order processing.
- Implement FIX protocol for standard trade messaging.
- Add REST API for easier integrations.
- Improve latency profiling with hardware-based timestamping.
This project is private. If you are interested in purchasing a license, please contact the owner.
For any queries or licensing, please contact Ranjan at:
- GitHub: @ranjan2829