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所在平台: Udemy |
课程主页: https://www.udemy.com/course/chatgpt-pairs-trading/
课程评论：没有评论
课程名称：金融分析：构建ChatGPT配对交易机器人 概述：大家好！作为这门课程的原创人工智能和机器学习讲师之一，我怎么能不创造一门关于ChatGPT的课程呢？ChatGPT及其继任者GPT-4已经开始改变世界，人们对新机遇感到兴奋，同时也对其对社会潜在的影响感到恐惧。这门课程结合了我最喜欢的两个主题：人工智能和金融（算法交易）。课程的核心理念很简单：使用ChatGPT构建一个交易机器人（特别是使用配对交易，我当时对此非常感兴趣）。 在课程中，我们将学习ChatGPT与各种GPT模型（如GPT-3、GPT-3.5、GPT-4等）的惊人能力。我们还将探讨这些模型的许多陷阱，以及为什么我们需要保持警惕。这些模型确实会犯错误，但我们将学习如何处理这些错误，并找到最佳的方法利用ChatGPT提升我们的效率和生产力。 重要考虑事项：为什么不直接向ChatGPT提问，而绕过这门课程呢？当然，你可以告诉ChatGPT如果出现错误，并可能让其修复，但这只适用于语法错误（打破Python语言规则的错误）。如果你没有Python、金融和统计学的基础知识，你将错过语义错误（逻辑和推理中的错误），因为你根本不会注意到它们。这就是“保持警惕”的含义，也是这门课程中一个重要的教训，我看到很多人很容易错过这一点！ 那么，你还在等什么？快来和我一起踏上这个激动人心的旅程吧！（顺便也许能学会如何赚钱）） 建议先修课程：对Python和数据科学库（Numpy、Matplotlib、Pandas）有一定理解；对金融（股票价格、收益、对数收益、累计收益）有基础了解。
Hello friends!As one of the original artificial intelligence and machine learning instructors on this platform, how could I not create a course on ChatGPT?ChatGPT and its successor, GPT-4, have already begun to change the world. People are excited about new opportunities, and terrified of the potential impacts on our society.This course combines 2 of my favorite topics: AI and finance (algorithmic trading).The premise of this course is simple: use ChatGPT to build a trading bot (specifically, using pairs trading which is what I was interested in at the time).Throughout the course, we will learn about the amazing capabilities of ChatGPT and GPT models in general, such as GPT-3, GPT-3.5, GPT-4, etc. We will learn about the many pitfalls of these models, and why you need to keep your guard up. These models do make mistakes, but we will learn how to deal with them. We will learn the best ways to make use of ChatGPT to help us be more efficient and productive.Important consideration: Why not just ask ChatGPT yourself and forego this course? Sure, you can tell ChatGPT if you get an error and maybe it'll fix it, but that only works for syntax errors (errors that break the rules of the Python language). What you'll miss, if you don't have foundational knowledge in Python, finance, and statistics, is semantic errors (errors in logic and reasoning), because you won't even notice them in the first place. That is what it means to "keep your guard up", and that is one of the major lessons in this course, which I'm already seeing is very easy for people to miss!So what are you waiting for? Join me now on this exciting journey! ( And maybe learn how to make some money in the process:) )Suggested Prerequisites:Decent understanding of Python and data science libraries (Numpy, Matplotlib, Pandas)Basic understanding of finance (stock prices, returns, log returns, cumulative returns)
