Stock template

Stock market data extraction and processing

Learn to analyze stock data with API and Java.

Category: Featured Languages: Python, Java, Ruby Components: 3
Includes teaching materials: PowerPoint slides and instructor handout
Preview image: Stock market data extraction and processing

Educational objectives

This template supports the structured discussion of real data sources in computer science education. The focus is on building competence in API-based data processing, statistical analysis of stock price trends, and graphical representation of structured data. The connection between modeling data structures, their algorithmic processing, and subsequent implementation in Java is made clear.

Key competencies

Structure of the components

Retrieve and understand stock data via API

Introduction to retrieving and structured reading of JSON-based stock data for further analysis preparation.

Time elapsed: 0 minutes 🧩 3 Tasks

Analyze stock prices

Statistical evaluation of loaded stock data to determine average values and relevant price changes.

Time elapsed: 0 minutes 🧩 3 Tasks

Draw stock data as a line diagram

Transfer analyzed price values to a graphical representation for visualization of time trends and extreme points.

Time elapsed: 0 minutes 🧩 3 Tasks
Use this template as an adaptable component for data-oriented programming projects in the classroom. Test template

Overview of contents

ComponentFocusDuration
Retrieve and understand stock data via APILoad JSON data from API, display stock list, read price data, determine Min/Max0 min
Analyze stock pricesLoad price data, calculate average, filter changes, draw ASCII price trend0 min
Draw stock data as a line diagramRepresent stock data graphically, apply scaling, mark comparisons and extremes0 minute
This template supports competency-based analysis of real stock data and leads structured from modeling to graphical implementation in code.

The clearly structured modules enable transparent planning and can be integrated into existing lesson plans for data processing.

Test the template in demo access and adapt the content to meet the requirements of your learning group.