About the Faculty
Varun Pothula is a Quantitative Analyst at QuantInsti, with extensive experience in trading and strategy development. He has held roles as a trader, global macro analyst, and algorithmic trading strategist. Varun’s academic credentials include a Master’s in Financial Engineering from WorldQuant University and a Bachelor’s in Mechanical Engineering from Vellore Institute of Technology.
At QuantInsti, Varun contributes to the Content & Research Team, where he develops educational offerings tailored to quantitative and algorithmic trading. His practical insights help learners bridge the gap between theory and application.
Varun’s diverse experience across trading and strategy development provides actionable knowledge for professionals looking to enhance their expertise in quantitative finance.
EPAT Teaching
This session introduces options trading, covering foundational concepts, pricing, and the Greeks. Participants learn about volatility measurement, forecasting, and trading, along with practical strategies like covered calls and hedging. With a focus on trade planning and risk evaluation, the session provides a solid foundation for understanding and applying options strategies in real-world markets.
Webinars Conducted
Algorithmic Trading with Python: Integrating with Various Brokers and Platforms
2024
Implementation of Machine Learning in Momentum Trading | Webinar
2024
Algorithmic Trading Workshop 2023
2023
Applications of Machine Learning in Options Trading
2023
ChatGPT and Machine Learning in Trading
2023
Introduction to Quantitative Factor Investing
2023
Machine Learning For Options Trading | Webinar
2023
Introduction To Price Action Trading [WEBINAR]
2022
Hands-On Introduction to Quantitative Trading
2022