Course Overview: Led by coding and options trading expert Puneet Teewani, this course offers a hands-on approach to trading Iron Condors using live coding sessions. Designed for traders who want to automate their options strategies, this course covers the essential coding techniques, strategy development, and practical implementation of Iron Condors in live markets.

What the Course Offers:

1. Introduction to Iron Condors:
   • Understanding the basics of Iron Condors.
   • The risk-reward profile of Iron Condors.
   • When and why to use Iron Condors in options trading.
2. Setting Up Your Coding Environment:
   • Required software and tools for coding trading algorithms.
   • Setting up a development environment (e.g., Python, Jupyter Notebooks).
   • Introduction to APIs and trading platforms.
3. Basics of Algorithmic Trading:
   • Overview of algorithmic trading concepts.
   • Introduction to Python for financial modeling and trading.
   • Writing your first trading algorithm.
4. Live Coding Session: Building an Iron Condor Strategy:
   • Step-by-step coding to construct an Iron Condor strategy.
   • Selecting strikes and expirations programmatically.
   • Implementing entry and exit rules in code.
5. Backtesting the Iron Condor Strategy:
   • Importance of backtesting in algorithmic trading.
   • Setting up and running backtests using historical data.
   • Analyzing backtest results to optimize the strategy.
6. Risk Management and Position Sizing:
   • Incorporating risk management rules in your code.
   • Techniques for dynamic position sizing.
   • Setting stop-loss and profit-taking rules programmatically.
7. Deploying the Iron Condor Algorithm:
   • Connecting to live markets and executing trades.
   • Real-time monitoring and adjusting the strategy.
   • Handling errors and unexpected market conditions.
8. Advanced Features and Enhancements:
   • Adding advanced features like volatility filters and adjustments.
   • Enhancing the algorithm with machine learning models.
   • Using advanced Python libraries for financial analysis.
9. Practical Applications and Case Studies:
   • Real-world examples of automated Iron Condor trades.
   • Case studies demonstrating the live application of coded strategies.
   • Learning from both successful and challenging scenarios.
10. Tools and Resources:
    • Introduction to advanced tools and platforms for algo trading.
    • Access to code libraries, frameworks, and real-time data sources.
    • Recommendations for further learning and continuous improvement.
11. Interactive Learning and Community Engagement:
    • Participation in live coding sessions and Q&A with Puneet Teewani.
    • Engaging with a community of algorithmic traders for support and discussion.
    • Ongoing updates and supplementary materials based on market developments.

This course equips traders with the knowledge and skills to automate their Iron Condor trading strategy, providing a hands-on approach to coding, testing, and deploying algorithms for consistent and efficient options trading.