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FinTech & SaaS Application EngineeringEnrollment opening soon

React & Python Financial Applications

Build full-stack financial web apps with a FastAPI backend and a React and TypeScript frontend, from charts and tables to live data updates and deployment.

  • Duration8 weeks
  • LevelIntermediate
  • Modules8
  • Lessons32
Enroll nowView curriculum
React & Python Financial Applications
Proposed fee$999USD · 8 weeks

Course overview

Many financial tools are web applications: portfolio trackers, research dashboards and backtest viewers. This course teaches you to build them end to end with a Python FastAPI backend, a PostgreSQL database and a React and TypeScript frontend. You will handle time-series charts, large tables, WebSocket updates and authentication, then containerize and deploy a complete application.

  • FastAPI backends
  • React with TypeScript
  • Financial charting
  • WebSocket updates
  • Authentication
  • Deployment

What you will learn

  • Design a full-stack architecture that separates frontend, API and data layers
  • Build validated FastAPI endpoints that serve historical financial data
  • Create React components that render time-series charts and large data tables
  • Stream real-time updates from a simulated feed into a responsive user interface
  • Containerize and deploy a frontend and backend with environment-specific configuration

Curriculum

8 modules · 32 lessons · 8 weeks. Curriculum preview; the final syllabus may change before enrollment opens.

  • Frontend, API and data layers
  • Choosing between REST and WebSockets
  • Scaffolding a React and FastAPI project
  • Local development environment

  • Routes, models and validation with Pydantic
  • Serving historical price data
  • Pagination and filtering
  • Error responses and API documentation

  • Components, props and state
  • TypeScript types for financial data
  • Hooks and data fetching
  • Forms and input validation

  • Time-series and candlestick charts
  • Tables for large datasets
  • Handling missing and irregular data
  • Accessible colors and labels

  • WebSocket endpoints in FastAPI
  • Streaming updates into React state
  • Throttling and batching UI updates
  • Reconnects and stale-data handling

  • Session and token-based authentication
  • Role-based access in UI and API
  • Storing watchlists in PostgreSQL
  • Protecting sensitive user data

  • API tests with pytest
  • Component tests for React
  • Profiling render performance
  • Caching strategies

  • Containerizing frontend and backend
  • Environment configuration
  • Assembling the capstone application
  • Capstone review and walkthrough

Practical projects

01

Portfolio tracker that displays historical holdings and allocation charts

02

Watchlist app that receives live-updating quotes from a simulated feed over WebSockets

03

Backtest results viewer that renders equity curves and trade tables from a FastAPI service

Skills you will practice

  • React
  • TypeScript
  • FastAPI
  • PostgreSQL
  • WebSockets
  • Docker

Requirements

Who it's for

  • Python developers who want to add frontend skills
  • Frontend developers building tools for financial users
  • Quant analysts who want to share research through web applications

Prerequisites

  • Python Programming for Financial Markets or equivalent Python experience
  • Basic HTML, CSS and JavaScript
  • FinTech Software Engineering Fundamentals is recommended

Learning format

  • Self-paced lessons with step-by-step build-along projects
  • Coding labs for backend and frontend features
  • Assignments with code reviews
  • Capstone application with a final walkthrough

Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.

Frequently asked questions

Self-paced lessons with step-by-step build-along projects Coding labs for backend and frontend features Assignments with code reviews

Python Programming for Financial Markets or equivalent Python experience. See the full list under Requirements.

Yes. Completing the lessons and assessed projects earns a Quantzivo certificate of completion. It is a completion credential issued by Quantzivo, not an accredited qualification.

The $999 USD fee is a proposed launch price. Final fees, schedules, refund terms and any regional options are confirmed before any payment is taken.

Quantzivo teaches technical, data and research skills. It does not provide investment advice, trading signals or any promise of returns. Trading involves risk, including loss of capital.
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