Strategy Overview
Core Strategy
The earnings volatility selling strategy involves selling short-term options (straddles or calendar spreads) before earnings announcements to profit from two key factors: the rapid drop in Implied Volatility (IV) post-announcement (IV Crush), and the tendency for stocks to move less than the options market has priced in.
Why It Works
- • IV typically exceeds realized volatility pre-earnings
- • Uncertainty premium disappears post-announcement
- • Market makers price in larger moves than typically occur
Edge Sources
- • Hedgers overpay for protection
- • Retail speculators chase lottery tickets
- • Statistical arbitrage in volatility pricing
Theoretical Foundations
Implied vs. Realized Volatility
Historically, the implied volatility (IV) priced into options before an earnings event is higher than the realized volatility (RV) of the actual stock move. This premium exists because of uncertainty.
We profit when this uncertainty resolves and IV “crushes” back to normal levels.
Who Overpays for Options?
Hedgers (Institutions)
Price-insensitive participants who buy protection regardless of cost to secure portfolios.
Speculators (Retail)
Buy short-dated calls hoping for lottery-like payouts, inflating demand and prices.
Step-by-Step Execution Guide
Step 1: Screen for Opportunities
Filter the universe of upcoming earnings announcements for high-probability setups using three key criteria:
Term Structure Backwardation
Front-month IV must be significantly higher than back-month IV, indicating overpriced short-term volatility.
High IV/RV Ratio
Implied volatility should be inflated relative to historical realized volatility (ideally ratio > 1.5).
Sufficient Liquidity
High average trading volume ensures minimal slippage on entry and exit.
Step 2: Trade Entry
Execution Time
Open position 15 minutes before market close on earnings announcement day.
Step 3: Trade Exit
Execution Time
Close position 15 minutes after market open the following trading day.
Step 4: Position Sizing (Critical)
Short Straddles
≤ 2%
of capital per trade
Calendar Spreads
≤ 6%
of capital per trade
Never use full Kelly sizing. Even with statistical edge, improper sizing leads to ruin.
Trade Structures & Mechanics
Short Straddle
The most direct way to short volatility. Involves selling one at-the-money call and one at-the-money put with the same expiration.
Key Points:
- Profit when stock moves less than premium collected
- Benefits from sharp IV crush post-earnings
- Unlimited loss potential (tail risk)
- High gamma risk near expiration
- 9% mean return per trade
Long Calendar Spread
A defined-risk alternative involving selling front-month and buying back-month options at the same strike.
Key Points:
- Front-month IV crushes more than back-month
- Profit from vega decay differential
- Limited loss to initial debit paid
- Safer return profile than straddles
- 7.3% mean return per trade
Data & Backtesting Evidence
Methodology
Dataset Scale
Key Finding
Blindly trading every earnings event results in near 0% mean return. The edge only exists when filtering for high-probability setups.
Filtered Results
Filter Criteria
Term Structure Slope
Most important predictor of success
IV/RV Ratio
Confirms overpriced volatility
High Volume
Indicates price-insensitive participants
Risk Management & Position Sizing
The Four Pillars of Risk Management
1. Never Trade Full Kelly
Kelly Criterion maximizes growth theoretically but leads to unacceptable volatility in practice.
2. Straddles ≤ 2% Capital
Strict sizing protects against devastating impact of tail risk events.
3. Calendars ≤ 6% Capital
Balance between meaningful returns and capital preservation.
4. Avoid Low Liquidity
Wide bid-ask spreads can completely erase the strategy's edge.
Long-Term Growth Simulation
Using 10% Kelly sizing (6% of capital per calendar trade) with 0% bankruptcy risk
Case Study: AMZN Earnings Trade
Real-World Application
Amazon (AMZN) earnings trade flagged as “RECOMMEND” by the screening criteria
Trade Setup
Results
Trade-off Analysis
A straddle on the same event would have yielded higher profits but with unlimited loss potential. The calendar's defined-risk structure provides crucial protection against large unexpected moves.
Building a Screening Tool
Implementation Guide
To build an effective scanner, you need to implement the filtering logic that identifies high-probability setups from the universe of earnings announcements.
Data Requirements
- • Earnings calendar
- • Options chains (IV, Greeks)
- • Historical stock prices
- • Volume data
Key Calculations
- • Term structure slope
- • IV/RV ratio
- • 30-day average volume
- • Realized volatility
Recommendation Engine
- • RECOMMEND: All criteria met
- • CONSIDER: Partial criteria
- • AVOID: Poor setup
Formulas & Implementation
Term Structure Slope
Negative values (backwardation) indicate favorable conditions
IV/RV Ratio
ratio = thirty_day_iv / rv
Values > 1.5 indicate overpriced volatility
Volume Filter
Minimum threshold typically 500k shares/day