Ementorhub

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

Applied Machine Learning

Python Programming

Artificial Intelligence

Financial Trading

Automation

Generative AI

Investment Management

Market Data

Portfolio Management

Financial Market

Technical Analysis

Real Time Data

Time Series Analysis and Forecasting

Market Trend

Risk Management

Predictive Modeling

There is 1 module in this course

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.