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.
FAQ
The parser may not find the requests library:
pip install requests
The parser may not find the Boost::asio:
find_package(Boost 1.65 REQUIRED COMPONENTS system)
target_link_libraries(markets_scraper PRIVATE Boost::system)
to cmake exchange_scraper.
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.