English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 16 Lessons (3h 3m) | 685 MB
Build your own AI application that analyzes stocks and optimizes portfolios using OpenAI’s GPT models, Python and LangChain (100% beginner friendly). You’ll even learn investment strategies like Modern Portfolio Theory and the Black-Litterman Model.
This fun project-based course blends AI and finance education: you’ll learn to use the latest AI technologies like ChatGPT, LangChain and OpenAI’s GPT models in your own projects while also learning about essential financial metrics and portfolio optimization theories. Maybe you’ll be the next Wolf of Wall Street?!
What you’ll learn
- Harness AI tools to gather, analyze, and interpret real-time stock data for smarter investment strategies
- Improve your Python skills with hands-on coding exercises
- Understand and implement LangChain to augment your AI and improve its outputs
- Learn about financial metrics and theories while building a fun and useful portfolio project
Table of Contents
1 Introduction
2 OpenAI Key Setup
3 What is LangChain?
4 Python – LangChain OpenAI Setup
5 Python – Download the Stock Data
6 Introduction to Finance
7 Top Fundamental KPIs for Stock Analysis
8 Top Trading KPIs for Stock Analysis
9 Python – Top Trading KPIs – Part 1
10 Python – Top Trading KPIs – Part 2
11 Modern Portfolio Theory
12 Python – Modern Portfolio Theory
13 The Black-Litterman Model
14 Python – Black-Litterman Model
15 Building an Optimized Python Script
16 From Diogo: How I Invest
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