This document highlights key code sections that demonstrate the technical strengths and architectural patterns implemented in this market analytics tool.
RATU REST API is a comprehensive market analytics tool using Binance public REST API. The system demonstrates prototyping-focused REST API integration patterns including multi-endpoint integration, dataclass-based parsing, and multi-timeframe analysis.
File: API client implementation
Lines: Endpoint integration logic
The system integrates 7 Binance public endpoints: ticker/price, ticker/24hr, depth, trades, klines, avgPrice, bookTicker in a single snapshot call.
Why it's notable:
- Combines multiple data sources efficiently
- Single snapshot call for comprehensive analysis
- Uses httpx connection pooling for concurrent calls
- Provides complete market picture
File: Response models
Lines: Dataclass definitions
The system uses dataclass models for all API responses, ensuring type safety and preventing parsing errors.
Why it's notable:
- Type-safe response parsing
- Ensures data consistency
- Prevents parsing errors
- Provides structured output for all endpoints
File: Kline analysis implementation
Lines: Multi-timeframe logic
The system provides kline data for 1h, 4h, 1d intervals, enabling both short-term and long-term trend analysis.
Why it's notable:
- Multiple timeframes for trend context
- Enables comprehensive market analysis
- Short-term and long-term trend analysis
- Provides context for trading decisions
File: HTTP client setup
Lines: Connection pooling configuration
The system uses httpx connection pooling to optimize multiple API calls by reusing connections across requests.
Why it's notable:
- Reduces latency for comprehensive snapshots
- Reuses connections across requests
- Optimizes performance for multiple endpoints
- Efficient resource utilization