Home Programming Financial Analysis - Build a ChatGPT Pairs Trading Bot [Video]

Financial Analysis - Build a ChatGPT Pairs Trading Bot [Video]

By Lazy Programmer
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Mobile App with offline access
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Stream this video
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  1. Free Chapter
    Welcome
About this video
Financial analysis with ChatGPT using pairs is a cutting-edge approach that combines the power of artificial intelligence (AI) with the expertise of financial analysts to provide insights into financial data. ChatGPT and human analysts synergistically foster a collaborative environment that facilitates and generates valuable investment decisions, risk assessments, and financial planning recommendations. Financial analysis with ChatGPT using pairs offers a unique approach to insights from complex financial data. Through this course, we will use ChatGPT to build a trading bot (using pairs trading) and learn about the capabilities of ChatGPT. The course begins with an introduction to ChatGPT, the project scope, and the course tools required for this course. You will then learn to use the course efficiently and where to get the codes. We will then advance to Pairs trading with ChatGPT. You will learn about pairs trading intuition, the initial prompt, correcting the trading signal, and z-score computation. We will explore returns, log returns, and cumulative returns and test the strategy. You will learn about the long-only strategy and return computation. Upon completing this course, you will learn the best ways to use ChatGPT to be more efficient and productive with financial decision-making, investments, and trading using pairs trading.
Publication date:
April 2023
Publisher
Packt
Duration
6 hours 50 minutes
ISBN
9781805123262

About the Author
  • Lazy Programmer

    The Lazy Programmer is an AI/ML engineer focusing on deep learning with experience in data science, big data engineering, and full-stack development. With a background in computer engineering and specialization in ML, he holds two master’s degrees in computer engineering and statistics with finance applications. His online advertising and digital media expertise include data science and big data. He has created DL models for prediction and has experience in recommender systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He is a web programmer with experience in Python, Ruby/Rails, PHP, and Angular.

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Financial Analysis - Build a ChatGPT Pairs Trading Bot [Video]
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