Personal

• Name: Navnoor Bawa
• Author with FX Empire since: June 2026

Education & Work

• School(s) Attended: B.Tech in Computer Science and Engineering (Financial Derivatives specialization), Thapar Institute of Engineering and Technology
• Honours and Distinctions: 1st Place, Trilemma Beta Bitcoin Prediction Tournament (214 teams)
• Job Title: Quantitative Researcher
• Company / Organization: Independent
• Former Jobs: Quantitative Research Intern, Quant Insider
• Published on: Substack, Medium

Investing Profile

• Investing Style: Systematic and quantitative
• Area of Expertise: Volatility, derivatives, statistical arbitrage, commodity and equity futures
• Favorite instruments: S&P 500 (SPX) options, VIX, WTI crude oil futures

Contact Details

• Twitter / X: @navnoorquant
• LinkedIn: linkedin.com/in/navnoorbawa

About

Navnoor Bawa is a quantitative researcher and writer specializing in volatility, derivatives, and systematic trading strategies. He has published more than 300 forensic analyses of how leading hedge funds and market makers operate, covering firms such as Citadel, Millennium, and Squarepoint, working entirely from primary sources including SEC and CFTC filings, 13F disclosures, and court documents.

Alongside his writing, he builds live quantitative systems. These include a Transformer based statistical arbitrage model on the Russell 3000, a joint SPX and VIX volatility calibration platform, and a WTI crude oil futures forecasting system.

His research translates complex institutional strategies into clear, primary source driven analysis for traders and investors, and has been read more than 327,000 times across Substack and Medium by readers in over 80 countries.