GenAI for Algorithmic Trading
Completed by Tsz Lok Wong
February 14, 2026
3 hours (approximately)
Tsz Lok Wong's account is verified. Coursera certifies their successful completion of GenAI for Algorithmic Trading
What you will 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 will gain
- Category: Applied Machine Learning
- Category: Research Reports
- Category: Financial Trading
- Category: Recurrent Neural Networks (RNNs)
- Category: Automation
- Category: Market Data
- Category: Artificial Intelligence
- Category: Python Programming
- Category: Risk Management
- Category: Portfolio Management
- Category: Real Time Data
- Category: Market Trend

