Quant trading bot cluster

Multi-exchange market data and automated strategy execution.

Bots

Challenge

Strategies spanned several exchanges; feed latency and API rate limits caused missed fills, manual monitoring could not cover 24/7, and per-venue capital exposure was hard to control.

Solution

A WebSocket aggregation layer unified the feeds; strategies run as isolated containers with built-in capital allocation, circuit-breaker risk controls and anomaly alerting — fully automated, 24/7.

Deliverables

Market-data aggregation engine
Strategy execution framework
Circuit-breaker risk controls
Monitoring & alerting

Results

<50msorder latency
99.98%uptime
7×24unattended operation

Stack

Node.js / Redis / Docker

Timeline

6 weeks + strategy iterations

Have something similar in mind? Tell us about it

Start a project

This case is anonymised to protect client contracts and privacy.

Back to home