Learn how to systematically harvest the Volatility Risk Premium using strangles, spreads, and risk-first portfolio design. We cover 45 DTE entries, 21 DTE exits, rolling tactics, margin efficiency, assignment mechanics, and tail hedging with VIX.

Why most premium sellers lose in the final week. Discover the data behind the 45 DTE entry / 21 DTE exit framework, the Theta–Gamma tradeoff, and how to avoid the Gamma explosion that destroys Sharpe ratios.

Discover how the Volatility Risk Premium (VRP) creates a structural edge in options trading. Learn how implied volatility consistently overstates realized moves—and how disciplined traders harvest income from fear, earnings IV crush, and macro uncertainty.

A deep dive into auction theory, VWAP, order flow, and institutional liquidity—revealing how markets really move and why price seeks value, not sentiment.

Markets look liquid—until you trade. In this episode, we expose phantom liquidity, slippage, and how execution quality quietly destroys alpha. Learn why the real edge isn’t strategy, but how your trades hit the market.

Markets don’t move randomly—they shift between distinct volatility regimes that determine which strategies work and which fail. In this episode, we explain why volatility clusters, how markets transition from calm to crisis, and how those shifts move the structural edge between option sellers and buyers.

Drawing on a century of market data and the work of Benoit Mandelbrot and Robert Engle, we break down ARCH-style regime analysis, variance risk premia, dealer gamma, and volatility term structures—connecting theory to real trading decisions.

This episode is about understanding what regime you’re in, managing risk through transitions, and surviving when markets change character.

In this episode, we explore how income traders generate consistent returns by selling volatility and managing risk like an insurance business. You’ll learn why options are systematically overpriced, how the Variance Risk Premium creates an edge, and why time decay—not prediction—is the real product.