This course on financial analysis with ChatGPT and pairs trading integrates AI with financial expertise for insightful investment decisions, risk assessments, and financial planning.
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Financial Analysis - Build a ChatGPT Pairs Trading Bot
Instructeur : Packt - Course Instructors
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Expérience recommandée
Ce que vous apprendrez
Understand: Explain common mistakes when using ChatGPT for coding and their solutions.
Apply: Utilize ChatGPT to build a pairs trading bot in Python.
Analyze: Differentiate between various algorithmic and algo-trading strategies.
Evaluate: Assess the effectiveness of trading strategies through z-scores, log returns, cumulative returns, and portfolio returns.
Compétences que vous acquerrez
- Catégorie : Algorithmic Trading
- Catégorie : Cryptocurrency
- Catégorie : algorithmic trading
- Catégorie : stock trading strategies
- Catégorie : Pairs trading
- Catégorie : Pairs Trade
- Catégorie : z-scores
- Catégorie : cryptocurrencies
Détails à connaître
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août 2024
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Il y a 9 modules dans ce cours
In this module, we will introduce the course objectives, outline the scope of the project you will be working on, and provide an overview of the tools and resources you will need to succeed.
Inclus
3 vidéos1 devoir
In this module, we will explore key strategies for succeeding in this course and guide you on where to find the code needed for your project. These foundational steps will ensure you are well-prepared for the journey ahead.
Inclus
2 vidéos
In this module, we will delve into pairs trading, beginning with understanding its core principles and intuition. You will learn how to leverage ChatGPT for developing and refining trading strategies, correct various aspects of these strategies, and measure their performance. Additionally, we'll explore advanced topics such as log returns, long-only strategies, and iterative improvements using feedback and suggestions.
Inclus
22 vidéos1 devoir
In this module, we will focus on validating the robustness of our trading strategies. You'll conduct a mean reversion test to verify the foundational assumptions and a pairs trading test to ensure the practical reliability of the strategies developed in the previous sections.
Inclus
2 vidéos1 devoir
In this module, we will conclude the course by summarizing the key lessons and insights you have gained. Additionally, we will reflect on how ChatGPT has contributed to personalizing your learning journey, enhancing your understanding and application of pairs trading strategies.
Inclus
2 vidéos1 devoir
In this module, we will guide you through setting up your development environment using Anaconda. You will learn how to install crucial libraries like NumPy, SciPy, Matplotlib, Pandas, IPython, Theano, and TensorFlow, ensuring you have all the necessary tools to work effectively on your projects.
Inclus
2 vidéos1 devoir
In this module, we will provide additional support for beginners in Python coding. You'll go through a two-part series on how to code independently, explore the similarities between using Jupyter Notebook and traditional coding environments, and learn how to use GitHub along with other valuable coding tips to enhance your programming skills.
Inclus
4 vidéos1 devoir
In this module, we will explore strategies to maximize your success in the course, providing an in-depth guide for effective learning. You will understand whether the course is designed for beginners, experts, academic purposes, or practical application. Additionally, we will guide you on the best sequence to take our courses to align with your personal learning objectives and background.
Inclus
4 vidéos
In this module, we will clarify the role of the appendix in the course. You'll learn what information is included in the appendix and how it can be used as a resource for further understanding and reference throughout your learning journey.
Inclus
1 vidéo1 devoir
Instructeur
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Recommandé si vous êtes intéressé(e) par Machine Learning
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
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Foire Aux Questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.