Practitioners first, educators second. Every curriculum decision, every program standard, and every institutional relationship flows through this team.
Sovit is one of India's most credible voices in capital markets education — a Chartered Market Technician (CMT) and Certified Financial Technician (CFTe) with an M.Com in Financial Research & Technical Analysis and over 15 years of hands-on experience in Indian financial markets.
Actively trading and investing since 2007, Sovit has designed and developed multiple profitable algorithmic trading systems leveraging technical indicators across stocks, futures, and indices — consistently maintaining a 30%+ CAGR since January 2017. His strategies are a testament to how rigorous theory translates into disciplined, repeatable execution.
At CapLearn, he drives the overarching vision: translating deep practitioner insight into structured, institution-grade learning experiences. His work spans technical analysis, systematic trading, and market research — built on a foundation few educators can claim: he has actually done what he teaches.
A dedicated mentor, Sovit has coached numerous CMT aspirants across all three levels and conducted workshops on rule-based trading and algorithmic strategies. His training programs have benefited CFA charterholders, CMTs, MBAs, and CAs. He previously served as faculty at the BSE Institute — teaching the Certificate Program on Technical Analysis — and at NISM, across the Summer School and PGP programs in Portfolio Management, Investment Advisory, and Research Analysis.
Vivek is a Certified Financial Technician (CFTe) and quantitative analyst with over 10 years of investment experience and 6 years of profitable trading. He blends deep domain expertise with a rare ability to turn complex financial concepts into learnable, institution-grade frameworks.
He has cleared all three levels of the Chartered Market Technician (CMT) program in his first attempt, and has been awarded the EPAT Certificate of Excellence in Algorithmic Trading by QuantInsti — where his Long/Short Mean Reversion project using Statistical Arbitrage (Python) was selected for publication.
At CapLearn, Vivek architects the curriculum from the ground up — ensuring every program reflects real-world market realities. As head of operations, he also manages key academic and corporate partnerships, building the infrastructure that makes CapLearn's programs scalable and credible across institutions.
Previously, he worked as a Technical and Quantitative Analyst at a unified stock broking firm, where he led the Equity Team, supervised real-time evaluation of equity strategies, and revamped the risk management framework to embed systematic discipline across the desk. He also designed algorithm-driven strategies in cash markets across short-term and positional horizons.
A committed educator, Vivek serves as a Knowledge Partner with Trading Heads for their Trading Transformation Program — teaching Python and building algorithmic trading systems. He has served as Guest Faculty at SIES College of Commerce & Economics, Mumbai, delivering sessions on statistics, financial technologies, and algorithmic trading to M.Com (Financial Research and Technical Analysis) students.
Notably, he ranked in the top 3% globally in TradingView's The Leap competition — competing against over 59,000 traders worldwide — cementing his standing as both a practitioner and a competitor at the highest level.
Every instructor has operated in live Indian markets — on trading desks, in research roles, managing portfolios. Theory is a tool, not the curriculum.