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PROJECT NOTES / BACKEND & SYSTEMS

QuantAlert

Market events become timely, actionable alerts.

A stock-monitoring application with live price updates, configurable alert conditions, persistent users, and email notifications.

FastAPIWebSocketsPostgreSQLDockerPython
BACKEND & SYSTEMS↗
QuantAlert — application screenshot
APPLICATION PREVIEW

APPLICATION SCREENSHOT · ILLUSTRATIVE OUTPUT

01 / THE CHALLENGE

The problem

A price chart is only useful if someone watches it. Monitoring conditions in the background requires a pipeline that connects data ingestion to alert delivery.

02 / THE APPROACH

How it comes together

Market-provider adapters feed an alert-processing service. The API and WebSocket channel expose current data while persisted alert rules drive notification workflows.

03 / UNDER THE HOOD

Follow the flow.

SIMPLIFIED ARCHITECTURE
01Market feed
02Ingestion
03Alert rules
04PostgreSQL
05WebSocket + email
04 / BUILD HIGHLIGHTS

Price threshold, volume, and technical-indicator alert types.

WebSocket updates and a browser dashboard.

JWT authentication and hashed passwords.

Mock data for local exploration, plus documented market-provider integrations.

THE ENGINEERING CHOICE

Why this approach?

Keep a mock-data path so the application is explorable without brokerage credentials, while retaining an adapter boundary for real market feeds.

Explore the project’s supporting sources.Project repository
KEEP EXPLORING

Urban Pulse

Vijayshree Vaibhav
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