Build an iOS Stock Trading App with Swift & Charts

Overview

By the end of this course, learners will be able to build, implement, and analyze a fully functional iOS stock trading application using Swift, real-world data flows, and advanced charting techniques. This hands-on course guides learners step by step through the complete development lifecycle of a stock trading app on iOS 12. Starting with app architecture, mock JSON data, and custom table views, learners progressively implement networking with Alamofire, structured data models, and dynamic UI updates. The course then advances into interactive features such as portfolio-aware stock cells, delegate-based action handling, and professional financial charts including candlestick and pie charts. Learners also apply higher-order functions, color customization, and animations to enhance performance and user experience. What makes this course unique is its end-to-end, project-driven approach that mirrors real-world financial app development. Instead of isolated demos, learners build a cohesive application while mastering industry-relevant patterns like delegation, data visualization, and UI synchronization. Upon completion, learners gain practical skills applicable to fintech apps, data-driven iOS applications, and professional Swift development workflows.

Syllabus

Building the Foundation of a Stock App

This module introduces learners to the fundamentals of building an iOS stock trading app by covering project setup, mock data creation, data modeling, networking with Alamofire, and essential table view configuration for displaying financial data.

Interactive Stock Views & Charts

This module focuses on enhancing user interaction and financial data visualization by implementing advanced charts, handling user actions through delegation, and managing data flow between table view cells and view controllers.

Data Visualization & Animations

This module covers advanced data visualization techniques, including pie charts, higher-order functions, color customization, and chart animations to enhance user experience and improve financial data interpretation.