All Technologies Used
Motivation
Azati’s goal was to develop a high-performance cryptocurrency trading platform capable of connecting users with multiple exchanges and middleware, while providing automated trading and AI-powered market insights. The platform had to handle large volumes of requests efficiently and scale globally.
Main Challenges
Azati’s engineers initially had limited experience with cryptocurrency trading systems. They quickly familiarized themselves with blockchain technologies, crypto exchange APIs, and trading algorithms to ensure accurate and robust system development.
Each exchange imposes strict request limits, which could throttle real-time data collection. Azati developed a Proxy Engine running on AWS that automatically manages virtual machines to bypass these limitations and maintain uninterrupted data flow.
Providing accurate market data in real-time was critical for AI trading bots. Azati implemented WebSocket connections and caching strategies to ensure consistent, low-latency updates from multiple exchanges.
Our Approach
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Proxy Engine
- Automatic scaling of proxy servers
- Distribution of requests across virtual machines
- Ensured uninterrupted market data flow from multiple exchanges
Exchange Connectors
- Real-time multi-exchange data integration
- Reliable API interaction with Binance, Bitfinex, Liquid, Bittrex, and OKEx
- Data normalization and validation for middleware consumption
AI-Powered Trading Bots
- Automated order execution across multiple exchanges
- Strategy implementation with AI-based decision making
- Fail-safes to prevent over-trading and API violations
WebSocket API
- Low-latency market updates
- Continuous communication between backend and frontend
- Support for trading bots and dashboard visualization
Background Jobs Manager
- Efficient task scheduling and execution
- Reliable processing of large datasets
- Automated system maintenance and logging
Admin UI
- Real-time monitoring of trading operations
- Management of bots and exchange connectors
- System health and performance visualization
Business Value
Performance Improvement: Azati’s work led to significant improvements in the performance of the trading platform, particularly in handling large volumes of requests.
Scalability and Automation: The creation of a robust proxy engine and trading bot functionality allowed the platform to scale and automate trading operations effectively.
Request Handling Optimization: The team optimized the request handling process, resulting in a 37% improvement in performance per request.
Uptime and Reliability: Ensured 99.97% uptime for the AWS-based proxy engine.
Scalable Solution for Trading: Provided the customer with a powerful, scalable solution for cryptocurrency trading.