GenAI for Algorithmic Trading
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What you'll learn
Implement generative AI techniques to analyze historical market data and generate insights that support both trading and research decisions.
Create and backtest trading strategies enhanced by GenAI, incorporating real-time data and predictive analytics to optimize decision-making.
Develop portfolio management strategies using GenAI to automate rebalancing, optimize allocations, and manage risk exposure effectively.
Employ GenAI to streamline and improve investment research processes, including sentiment analysis, trend analysis, and data-driven reporting.
Skills you'll gain
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There is 1 module in this course
In the rapidly evolving world of finance, algorithmic trading strategies powered by generative AI (GenAI) are transforming how traders approach the markets. This hands-on course is designed to equip traders, financial analysts, and developers with the skills to leverage GenAI for enhanced trading performance. Participants will delve into setting up a GenAI trading environment, creating custom AI-driven strategies, and automating trading processes. Through real-world examples and practical exercises, learners will gain the expertise to build, test, and deploy GenAI-enhanced trading systems, making this course an essential toolkit for modern algorithmic trading.
This course is designed for algorithmic traders, financial analysts, developers, and anyone interested in applying AI in trading. A foundational understanding of financial markets, trading principles, Python programming, as well as basic knowledge of machine learning (ML) and neural networks (NN), is recommended. By the end of this course, the learner will be able to create and test different GenAI based trading strategies. The learner will also be to optimize their portfolio using GenAI and other advanced techniques such as sentiment analysis.
In this course, you’ll learn how to leverage generative AI to enhance trading performance. You’ll explore setting up a GenAI trading environment, creating custom AI-driven strategies, and automating trading processes. Through real-world examples and practical exercises, you’ll gain the skills to build, test, and deploy GenAI-enhanced trading systems, equipping you with essential tools for modern algorithmic trading.
What's included
13 videos4 readings1 assignment3 peer reviews2 discussion prompts
13 videos•Total 82 minutes
- Introduction to the Course & Meet Your Instructor•2 minutes
- Using Pre-Trained GenAI Models for Market Analysis•11 minutes
- Building Basic Predictions for Investment Research•11 minutes
- Pro Tips and Advanced LSTM for Stock Market Predictions•7 minutes
- Interpreting Predictions for Trading and Research Decisions•9 minutes
- Integrating GenAI with Traditional Trading and Investment Strategies•5 minutes
- Real-Time Data Feeds and Model Updating for Portfolio Management•5 minutes
- Building a Custom GenAI Strategy for Portfolio Optimization•5 minutes
- Risk Management with GenAI Insights in Portfolio Management•5 minutes
- Portfolio Management Techniques•8 minutes
- Market Sentiment Analysis Using for Investment Research•8 minutes
- Developing Automated Trading and Portfolio Management Bots•5 minutes
- Congratulations and Continuous Learning Journey•2 minutes
4 readings•Total 25 minutes
- Welcome to the Course: Course Overview•5 minutes
- How Generative AI Can Be a Game Changer in Online Trading?•5 minutes
- Algorithmic Trading and AI: A Review of Strategies and Market Impact•5 minutes
- The Perfect Duo: Impact of Generative AI on Online Trading•10 minutes
1 assignment•Total 20 minutes
- GenAI for Algorithmic Trading•20 minutes
3 peer reviews•Total 45 minutes
- Hands on Learning (HOL): Reviewing Logic Through Practical Example•15 minutes
- Hands on Learning (HOL): GenAI Driven Portfolio Management Techniques •15 minutes
- Project: Building a GenAI-Powered Algo Trading Strategy•15 minutes
2 discussion prompts•Total 10 minutes
- GenAI - Powered Trading Environment•5 minutes
- Enhancing Strategies & Portfolio with GenAI•5 minutes
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Reviewed on Sep 19, 2025
its a good course if you are just starting your first step in algo trading.
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