1.1 Retrieving Historical Market Data

2.1 Creating Codes from a Strategy Specification

3.1 Unsupervised Learning

4.1 Why Generative Models

5.1 Representation Complexity

6.1 Introduction

7.1 Introduction

8.1 Introduction

9.1 Sentiment Analysis in Fed Press Conference Speeches Using Large Language Models

10.1 Introduction

11.1 Diffusion Models

A.1   Retrieving Adjusted Closing Prices and Computing Daily Returns

A.2   Installing Python

A.3   Plotting the Risk-free-rate over the Years

A.4   Computing the Sharpe Ratio of SPY

A.5   Matlab Code for Computing Efficient Frontier and Finding the Tangency Portfolio

1.2 Computing Sharpe Ratio

2.2 Summarizing a Trading Strategy Paper and Creating Backtest Codes from It

3.2 Supervised Learning