Transactions, Databases, and Real-Time Prices | Lecture 4 – Crypto Trading Simulator Series

Welcome to Lecture 4 in the 5-part series: Can You Learn from ChatGPT?
In this session, ChatGPT explores the core mechanics behind making the Crypto Trading Simulator functional—handling transactions, connecting to a database, and obtaining live or simulated price data.

📘 What’s Inside:

How to structure buy/sell transactions in code

Connecting a simple database (JSON-based or otherwise)

Pulling real-time or mock coin prices using APIs

Ensuring all components sync without breaking the simulation

💡 This lecture is crucial for students and devs learning how to manage persistent data, track trades, and build a system that mirrors real crypto interactions—all through Python and FastAPI.

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