AI-powered Analysis
Integration with an external AI service for automated market-trend evaluation and signal generation.
Project 08Backend + Dashboard
Automation System.
Project overview
A backend and dashboard for automated market analysis using an external AI service. BullMQ queues manage background jobs with retries and priorities, while worker threads move CPU-heavy analysis off the main event loop. Two Fastify services can be deployed and scaled independently, and a React dashboard provides visibility into bot activity, performance and analysis results.
A closer look
Choose a screen to exploreUnder the hoodWhat makes
What makes
it work.
The stack
Node.js Workers
CPU-intensive analysis tasks offloaded to dedicated worker threads to keep the main event loop responsive.
Dual-service Architecture
The backend is split into two Fastify services to distribute load and allow independent scaling and deployments.
Redis BullMQ Job Queues
A reliable pipeline handling 30k–150k messages with retry logic, dead-letter queues and priority scheduling.
Admin Dashboard
A React panel for managing bots, monitoring performance metrics and reviewing analysis results in real time.
End-to-end Testing
Critical flows validated with Playwright and unit/integration coverage via Vitest.