What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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Recommended experience
Beginner level
Basic knowledge of machine learning, Finance and GenAI concepts (recommended but not required).
Recommended experience
Beginner level
Basic knowledge of machine learning, Finance and GenAI concepts (recommended but not required).
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.
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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.
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