Quant and Algo Trading using AI/ML with Aseem Singhal

Study Plan

The "Quant and Algo Trading using AI/ML with Aseem Singhal" course is structured to provide participants with a comprehensive understanding of utilizing AI/ML for quantitative and algorithmic trading. The curriculum is meticulously designed to guide learners through essential topics, ensuring a solid foundation to navigate the dynamic world of trading strategies enhanced by advanced technologies.

What will you learn from this course?

• Python Proficiency: Develop a strong grasp of Python's fundamentals and modules, crucial for efficient data manipulation and analysis in trading contexts.
• Data Gathering and Management: Learn data scraping techniques and database management, vital for sourcing and organizing financial data for analysis.
• Technical and Price Action Analysis: Master the art of technical analysis and price action strategies, enabling you to interpret market trends and make informed trading decisions.
• Backtesting and Strategy Validation: Acquire the ability to backtest trading strategies, validating their effectiveness using historical data to optimize future performance.
• Cloud Deployment and API Integration: Learn to deploy strategies on cloud platforms and integrate broker APIs, ensuring seamless execution of trading decisions.
• Introduction to Machine Learning: Gain a foundational understanding of machine learning concepts, setting the stage for integrating AI/ML in trading strategies.

Details about the course

Guided by the expertise of Aseem Singhal, the "Quant and Algo Trading using AI/ML with Aseem Singhal" course is a transformative journey into the realms of quantitative and algorithmic trading. The curriculum encompasses a comprehensive array of topics, starting from Python basics and modules, essential for data handling, to technical analysis, price action strategies, and backtesting.

The course's unique feature lies in its practical orientation. Participants will engage in hands-on exercises and real-world simulations to apply acquired knowledge directly to trading scenarios. This approach builds a robust skill set that extends to cloud deployment, broker API integration, and the fundamentals of machine learning. Upon completing this course, participants will possess a holistic understanding of the interplay between AI/ML technologies and trading strategies, positioning them at the forefront of innovation in the evolving landscape of quantitative trading.