Industry experts with institutional trading experience dedicated to your success
Founder of Ironis Trading Institute & Core Architect of Smart Trading Mentor 7.0
"Markets fail traders not because predictions are wrong, but because execution breaks down when it matters most."
Professor Ethan Virel was born in Texas, USA in 1961. With his outstanding academic abilities and strong interest in financial markets, he studied at the University of Pennsylvania and MIT, earning a bachelor's degree in economics and a master's degree in financial engineering, and gradually developed into a financial expert with both theoretical depth and practical experience.
Throughout his career, he held key positions at several leading U.S. asset management firms and hedge funds. At Citadel LLC, he played a pivotal role in the early architectural design of Smart Trading Mentor 7.0.
With decades of hands-on experience in high-volatility markets and derivatives trading, Professor Virel came to a profound realization: market failures stem not from incorrect predictions, but from the inability to execute correctly during critical moments. This insight was repeatedly validated during major events such as the 2018 crypto market crash, the volatility collapse, and the 2020 COVID-19 market turmoil with multiple circuit breakers.
Driven by this understanding, he founded Ironis Trading Institute with the mission to democratize institutional-grade structured trading systems, risk management frameworks, and stable execution capabilities, making them accessible and trainable for ordinary traders. Smart Trading Mentor 7.0 represents the culmination of this vision: not merely an AI trading tool, but a true intelligent mentor that grows with each student.
Professor Virel's educational philosophy is results-oriented. He insists that all training must occur in real-market environments and that true mastery comes from high-frequency repetition. His goal is to help ordinary individuals achieve a fundamental transformation in trading cognition and build lasting competitive advantages in the AI-driven financial era.
