GenAI for Algorithmic Trading
Hands-on course on using GenAI for algorithmic trading. Learn to build, test, and automate AI-driven trading strategies, optimize portfolios, and apply techniques like sentiment analysis using Python and real market data.
Course Overview
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.
Skills You Will Gain
Course Includes
This course includes:
- On-demand videos
- Practice assessments
- Multiple hands-on learning activities
- Exposure to a real-world project
- 100% self-paced learning opportunities
- Certification of completion
Learning Outcomes (At the end of this program, you will be able to...)
- 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.
Prerequisites
Basic knowledge of machine learning, Finance and GenAI concepts (recommended but not required).
Who Should Attend
This course is designed for algorithmic traders, financial analysts, developers, and anyone interested in applying AI in trading.
Curriculum
Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.
Meet Your Expert Instructors
Aseem Singhal
VIEW MY CHANNELFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
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Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.