Financial Analysis: Build A Chatgpt Pairs Trading Bot

Financial Analysis: Build A Chatgpt Pairs Trading Bot
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Use ChatGPT for Algotrading, Forex, Stock Investing, Making Money Online, +More in Python

What you’ll learn

Use ChatGPT to build a pairs trading bot in Python

Common mistakes when using ChatGPT for coding

Pairs trading, algorithmic trading, algotrading, stock trading strategies

Computing z-scores, returns and log returns, cumulative returns, portfolio returns

Apply data science to financial analysis

Trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, altcoins

Requirements

Decent understanding of Python and data science libraries (Numpy, Matplotlib, Pandas)

Basic understanding of finance (stock prices, returns, log returns, cumulative returns)

Description

Overview

Section 1: Welcome

Lecture 1 Introduction

Lecture 2 Project Scope

Lecture 3 Course Tools

Section 2: Getting Setup

Lecture 4 How to Succeed in this Course

Lecture 5 Where to Get the Code

Section 3: Pairs Trading with ChatGPT

Lecture 6 Pairs Trading Intuition

Lecture 7 The Initial Prompt

Lecture 8 Correcting the Trading Signal

Lecture 9 Correcting the Z-Score Computation

Lecture 10 Correcting the Return Computation

Lecture 11 Correcting How We Measure Strategy Performance
Lecture 12 Returns, Log Returns, Cumulative Returns

Lecture 13 More About Log Returns (Optional)

Lecture 14 Strategy Performance Computation (Optional)
Lecture 15 Asking ChatGPT for Pairs

Lecture 16 Testing the Strategy
Lecture 17 Benchmark Against Buy-and-Hold

Lecture 18 Fixing the Spread

Lecture 19 Extending the Position

Lecture 20 Extending the Position (Code)

Lecture 21 Asking ChatGPT to Fix an Error

Lecture 22 More Pairs

Lecture 23 Long-Only Strategy
Lecture 24 Long-Only Strategy (Code)
Lecture 25 Return Computation Revisited and Other Extensions (Optional)

Lecture 26 Return Computation Revisited (Code)

Section 4: Sanity Check

Lecture 27 Mean Reversion Test

Lecture 28 Pairs Trading Test

Section 5: Course Summary

Lecture 29 Conclusion and Lessons

Lecture 30 ChatGPT Knows Who I Am!?

Section 6: Setting Up Your Environment FAQ

Lecture 31 Anaconda Environment Setup

Lecture 32 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow

Anyone who wants to learn how to use ChatGPT to build a pairs trading bot,Students and professionals in data science and machine learning with an interest in financial analysis