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.
Tech Stack
Year
2024 - Present
Executive Summary
The Challenge
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.
The Solution
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.
Verified Impact
A public source repository is available for direct review of implementation artifacts.
Proof
Methodology & Implementation
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