Study Plan

The "Complete Algo Trading Diploma With Aseem Singhal" course is meticulously designed to equip participants with comprehensive expertise and hands-on proficiency in algorithmic trading. The curriculum covers a wide spectrum of trading techniques, including time-based, level-based, indicator-based, and volume-based strategies automated with ChatGPT. Participants will delve into these topics through a structured study plan, gaining invaluable insights into the dynamic world of algorithmic trading and emerging with enhanced capabilities to navigate the market successfully.

What will you learn from this course?

• Algorithmic Trading Principles: Develop a solid understanding of algorithmic trading principles, starting from the basics, and gain the expertise to navigate the dynamic trading landscape effectively.
• Data Gathering and Management: Learn data scraping techniques and database management, vital for sourcing and organizing financial data for analysis..
• Master the art of technical analysis and price action strategies, enabling you to interpret market trends and make informed trading decisions..
• Acquire practical skills in implementing trading strategies using Python, from fundamental to advance.
• Backtesting and Strategy Validation: Acquire the ability to evaluate and backtest trading strategies using cutting-edge online tools, validating their effectiveness with historical data to optimize future performance.
• Apply your learning to real-time live doubt sessions.

Details about the course

Guided by the expertise of Aseem Singhal, the "Complete Algo Trading Diploma 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.