Low-Latency Market Microstructure Analysis System

Overview

The Low-Latency Market Microstructure Analysis System is designed to facilitate high-frequency trading (HFT) research and development. By leveraging both C++ and Python, this system offers a robust framework for analyzing market microstructure with minimal latency, enabling users to gain insights into market dynamics and develop efficient trading strategies.

Features

• High-Performance Data Processing: Utilizes C++ for low-latency handling of large-scale market data.
• Flexible Analysis Tools: Incorporates Python modules for statistical analysis and visualization.
• Modular Architecture: Easily extendable to include custom algorithms and data sources.
• Real-Time Monitoring: Supports live data feeds for up-to-the-moment analysis.

Installation

Prerequisites

• C++ Compiler: Ensure you have a C++17 compatible compiler installed.
• Python 3.8+: Required for running analysis scripts.
• CMake: For building the C++ components.

Steps

1. Clone the Repository:

   git clone https://github.com/yogeshsingh-11/Low-Latency-Market-Microstructure-Analysis-System.git
   cd Low-Latency-Market-Microstructure-Analysis-System

2. Build C++ Components:

   mkdir build
   cd build
   cmake ..
   make

3. Set Up Python Environment:

   cd ../python
   python3 -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   pip install -r requirements.txt

Usage

1. Start Data Processing Module: This module handles the ingestion and initial processing of market data.

   ./build/data_processor --config config/data_processor_config.json

2. Run Analysis Scripts: Utilize the provided Python scripts for various analyses.

   python python/scripts/analyze_order_book.py --input data/processed/order_book.csv

3. Visualize Results: Generate plots and visualizations to interpret the analysis.

   python python/scripts/plot_liquidity_metrics.py --input results/liquidity_metrics.csv

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your enhancements or bug fixes. Ensure that your code adheres to the project's coding standards and includes appropriate tests.

License

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