An iOS concept app that demonstrates how generative AI can support investment research and decision-making.

Users enter a stock ticker (or multiple tickers), and the app retrieves recent market data using Polygon.io API, then prompts ChatGPT to generate a concise performance summary based on the past trading data.

The implementation explores key AI techniques such as temperature, few-shot prompting, and response control (presence and frequency penalties, stop sequence).

The app explores also safety measures to prevent prompt manipulations (e.g. prompt injections).

Sensitive operations like API handling are offloaded to a secure Cloudflare worker to ensure data protection and clean architecture.

Potential use cases include:

• AI-assisted market summaries for finance or investment apps

• Embedded reporting modules in fintech dashboards or apps

• Personalised stock digest features for retail investment tools

• Lightweight reporting tools for solo investors or small funds

Tech stack: OpenAI API, Polygon.io API, Cloudflare Workers, Swift, SwiftUI, Xcode, GitHub

GitHub Repository

This concept shows how AI can interpret market data and generate useful, human-readable insights.

It works with real data. Imagine what it can do with yours.