Course Overview: This course, led by algorithmic trading expert Ankush Bajaj, provides a comprehensive guide to mastering algorithmic trading using AmiBroker and API Bridge. Designed for traders looking to automate their strategies and enhance their trading efficiency, this course covers everything from the basics of algorithmic trading to advanced strategies and integration techniques.

What the Course Offers:

1. Introduction to Algorithmic Trading:
   • Understanding the fundamentals of algorithmic trading.
   • Advantages and challenges of using algorithms in trading.
   • Overview of the trading ecosystem and necessary tools.
2. Getting Started with AmiBroker:
   • Introduction to AmiBroker and its features.
   • Setting up AmiBroker for algorithmic trading.
   • Basic navigation and understanding the user interface.
3. Developing Trading Strategies in AmiBroker:
   • Writing and backtesting trading strategies using AFL (AmiBroker Formula Language).
   • Implementing technical indicators and custom formulas.
   • Analyzing backtest results and optimizing strategies.
4. Introduction to API Bridge:
   • Understanding the role of API Bridge in algorithmic trading.
   • Setting up and configuring API Bridge for integration with AmiBroker.
   • Overview of supported brokers and exchanges.
5. Integrating AmiBroker with API Bridge:
   • Step-by-step guide to connecting AmiBroker with API Bridge.
   • Automating order placement and execution.
   • Monitoring and managing automated trades in real-time.
6. Advanced Trading Strategies:
   • Developing and implementing advanced trading algorithms.
   • Incorporating machine learning and AI techniques.
   • Strategies for high-frequency trading and low-latency execution.
7. Risk Management and Trade Monitoring:
   • Techniques for managing risk in algorithmic trading.
   • Setting stop-loss, take-profit, and position-sizing rules.
   • Monitoring and adjusting strategies based on market conditions.
8. Debugging and Troubleshooting:
   • Common issues and challenges in algorithmic trading.
   • Techniques for debugging AFL code and API Bridge integration.
   • Best practices for maintaining and updating trading systems.
9. Real-World Applications and Case Studies:
   • Practical examples of successful algorithmic trading strategies.
   • Detailed case studies illustrating the application of AmiBroker and API Bridge.
   • Learning from both successful and unsuccessful trades.
10. Tools and Resources:
    • Introduction to additional tools and resources for algorithmic trading.
    • Access to code libraries, plugins, and extensions for AmiBroker.
    • Recommendations for continuous learning and staying updated with market trends.
11. Interactive Learning and Community Engagement:
    • Participation in live webinars and Q&A sessions with Ankush Bajaj.
    • Engaging with a community of algorithmic traders for discussions and support.
    • Ongoing updates and supplementary materials based on market developments.

This course empowers traders to leverage the power of AmiBroker and API Bridge for creating, testing, and executing sophisticated algorithmic trading strategies, enhancing their trading efficiency and profitability.