1. Welcome and Introduction

• Brief overview of the webinar's objectives and agenda.
• Introduction of the speaker/expert.

2. What is Algorithmic Trading?

• Definition and explanation of algorithmic trading.
• How algo trading differs from traditional manual trading.

3. Advantages of Algorithmic Trading:

• Speed and efficiency in execution.
• Reduced human emotion and bias.
• Scalability and automation.
• Backtesting and data-driven decision-making.

4. Building Blocks of Algorithmic Trading:

• Market data and data sources.
• Trading strategies and algorithms.
• Order execution and risk management.

5. Market Data and Analysis:

• Types of market data (price, volume, order book, etc.).
• Technical analysis vs. fundamental analysis for algo trading.
• Importance of clean and accurate data.

6. Types of Algorithmic Strategies:

• Trend-following strategies.
• Mean reversion strategies.

7. Backtesting and Optimization:

• What is backtesting and why it's crucial.
• Using historical data to test strategies.
• Parameters optimization and performance evaluation.

8. Technology and Infrastructure:

• Hardware and software requirements.
• Connectivity to trading platforms and APIs.

9. Risk Management in Algo Trading:

• Importance of risk assessment and management.
• Limiting exposure and controlling losses.

10. Regulatory and Ethical Considerations: - SEBI guidelines and regulations on algo trading in India. - Ethics in algorithmic trading.

11. Case Studies: - Real-world examples of successful algo trading strategies. - Learning from both profitable and unsuccessful strategies.

12. Getting Started with Algorithmic Trading: - Steps to begin with algo trading. - Choosing a programming language (Python, R, etc.). - Resources and learning paths.

13. Q&A Session: - Open floor for participants to ask questions.

14. Conclusion and Next Steps: - Recap of key takeaways. - Information about follow-up resources and advanced topics.

15. Closing Remarks: - Thanking participants for attending. - Encouraging feedback and interaction.