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Persona: Senior Derivatives Strategist


Abstract:

This presentation outlines a systematic, data-driven methodology for trading equity options during corporate earnings cycles. The core thesis rejects directional speculation in favor of volatility-based strategies—specifically Long Strangles and Short Iron Condors—tailored to the historical "expected move" of a given ticker. The speaker emphasizes an "asymmetrical" approach: utilizing tools like Market Chameleon and Unusual Whales to backtest how often a stock’s realized volatility exceeds or stays within the options market's implied move.

The strategy dictates that for tickers with a high historical frequency (>70%) of breaching the expected move (e.g., Tesla), a Long Strangle at the 25 Delta is preferred to maximize percentage gains while limiting capital outlay. Conversely, for tickers that historically remain within the expected range (e.g., Zoom), a Short Iron Condor is deployed to profit from the post-earnings Implied Volatility (IV) crush and Theta decay. This risk-defined framework aims to transform earnings trading from "gambling" into a probability-based exercise in volatility arbitrage.


Strategic Overview: Non-Directional Earnings Arbitrage

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