Our project is a tool for analyzing cryptocurrency markets and finding opportunities for profitable arbitrage. The server part collects and analyzes data from various Peer-to-Peer trading platforms, and the application displays the results of this analysis, opening new prospects for investing and financial transactions in the world of cryptocurrencies.

• Server Technology Stack: Boost::asio, NLohmann, Decimal, Magic Enum, moodycamel::ConcurrentQueue
• Application Technology Stack: Qt6, NLohmann, MySQL, Boost::asio.

The application is coded, built and tested under Clang++17, macOS.

cmake -B build && cmake --build build && cmake --install build

To run the feed handler, you need to create a folder named 'exchange scraper_' in Users, and run install.sh to install and configure Python. Some commands that should have been in install.sh but were forgotten are - cd '/Users/exchange scraper_/htx scraper' && pip install requests.

pip install requests

find_package(Boost 1.65 REQUIRED COMPONENTS system)
target_link_libraries(markets_scraper PRIVATE Boost::system)

This microservice performs the following functions:

• Parsing data from crypto exchanges.
• Formatting data into a convenient JSON format.
• Sending data over TCP.

This microservice provides the following functions:

• Receiving data from the first microservice over TCP.
• Search for arbitrage bundles of cryptocurrencies.
• Interaction with clients via TCP.

The client part of the application is responsible for:

• Receiving data over TCP from the server side.
• Data output to a table with support for filtering and sorting arbitration bundles.
• Implementation of an authorization system that allows users to add bundles to favorites.

The client part is designed using Qt6, providing powerful capabilities for building a graphical interface.

The following testing methods are implemented in the project:

• Server part:

  • Unit tests to check individual components of the system.
  • Logging for tracking execution and debugging.

• The client part:

  • Logging to track the execution and debugging of the client application.

1. First sketches
2. Video of the pre-defense
3. Presentation