Are you keen on refining your investment strategy with a momentum portfolio? Join Sekhar from MomentumLab, a fellow DIY investor, for an engaging webinar on using Python to screen stocks effectively.

In this session, we’ll cover:

• Code Walkthrough: Learn how to fetch and analyze historical stock data using Python and libraries like yfinance and pandas.
• Key Indicators: Calculate essential indicators such as exponential moving averages (EMAs) and identify top-performing stocks.
• Filtering Criteria: Apply filters to select stocks based on returns, trends, and rankings.
• Visualization: Visualize results and rank stocks with matplotlib.

We’ll work with real data from over 200 NSE tickers to demonstrate the process of screening and ranking stocks for a dynamic momentum portfolio.

What You’ll Get:

• A guide on setting up and running the Python code for stock screening.
• Insights into selecting and ranking stocks based on performance metrics.
• Support for implementing and refining your portfolio tracking.

Who Should Attend: DIY investors, financial enthusiasts, and anyone interested in leveraging Python for smarter investing.

Don’t miss this opportunity to enhance your momentum portfolio with Python. Register now!