Smart AI Trading System
An automated crypto trading system that connects real-time data, multi-agent analysis, execution, position state, and monitoring. Startup recovery and live logs keep long-running operation inspectable.
An automated crypto trading system that connects real-time data, multi-agent analysis, execution, position state, and monitoring. Startup recovery and live logs keep long-running operation inspectable.
What made this system difficult?
Had to keep ingestion→analysis→execution pipelines reliable under continuous streaming data, while ensuring position consistency and recovery after restarts. Also needed operational visibility (service logs, status, event timelines) to debug long-running operation.
How did the design respond?
Separated services by responsibility and connected them via trigger monitoring and a trading engine. Implemented startup recovery that syncs exchange positions and restores active sessions, plus log capture (file + in-memory) and WebSocket-driven dashboards for live monitoring.
How responsibility moves through the system.
Multi-Agent System
- — Multi-agent analysis
- — Supervisor orchestration
- — Strategy execution flow
Macro Backend
- — Market regime features
- — Model-based signals
- — Macro indicator integration
Smart Trigger System
- — Trigger-based monitoring
- — Realtime streaming
- — Adaptive scheduling
Overview
- Solo-built AI-powered crypto trading system combining real-time ingestion, multi-agent analysis, and automated execution.
Key Components
- Robust ingestion/storage pipelines across heterogeneous data sources
- Trigger-driven multi-agent analysis orchestration
- Trading engine with position/state sync + restart recovery
- Log capture + WebSocket monitoring for operational observability