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GenAI for Algorithmic Trading

Instructor: Aseem Singhal

5,550 already enrolled

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

15 reviews

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

15 reviews

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

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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.

Module details

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 videosTotal 82 minutes

Introduction to the Course & Meet Your Instructor2 minutes
Using Pre-Trained GenAI Models for Market Analysis11 minutes
Building Basic Predictions for Investment Research11 minutes
Pro Tips and Advanced LSTM for Stock Market Predictions7 minutes
Interpreting Predictions for Trading and Research Decisions9 minutes
Integrating GenAI with Traditional Trading and Investment Strategies5 minutes
Real-Time Data Feeds and Model Updating for Portfolio Management5 minutes
Building a Custom GenAI Strategy for Portfolio Optimization5 minutes
Risk Management with GenAI Insights in Portfolio Management5 minutes
Portfolio Management Techniques8 minutes
Market Sentiment Analysis Using for Investment Research8 minutes
Developing Automated Trading and Portfolio Management Bots5 minutes
Congratulations and Continuous Learning Journey2 minutes

4 readingsTotal 25 minutes

Welcome to the Course: Course Overview5 minutes
How Generative AI Can Be a Game Changer in Online Trading?5 minutes
Algorithmic Trading and AI: A Review of Strategies and Market Impact5 minutes
The Perfect Duo: Impact of Generative AI on Online Trading10 minutes

1 assignmentTotal 20 minutes

GenAI for Algorithmic Trading20 minutes

3 peer reviewsTotal 45 minutes

Hands on Learning (HOL): Reviewing Logic Through Practical Example15 minutes
Hands on Learning (HOL): GenAI Driven Portfolio Management Techniques 15 minutes
Project: Building a GenAI-Powered Algo Trading Strategy15 minutes