Stock markets, like the seasons, have their rhythms. During earnings season, the pace quickens, and the air crackles with uncertainty. Prices can leap or plummet in response to a single earnings report, sending investors scrambling to catch up or recalibrate. For options traders, this uncertainty isn’t a hurdle—it’s an opportunity.
Central to trading options during earnings is the concept of the expected move. It’s not a prediction, but a probabilistic range, derived from option prices, that reflects how much the market anticipates a stock might move. Calculating this range and positioning trades accordingly can be the difference between riding the wave of volatility or being swept away by it.
In this report, we’ll explore what expected moves are, how to calculate them, and how to use them to position high-probability options trades like iron condors or credit spreads just outside these ranges.
1. What Is an Expected Move?
At its core, an expected move is the market’s best guess about how far a stock’s price might fluctuate during a specific timeframe. It’s calculated from the price of options, which are themselves driven by implied volatility (IV). The higher the IV, the larger the expected move—and the more expensive the options.
Why It Matters
Expected moves are a trader’s roadmap. By knowing where the market expects a stock to travel, you can:
Position Trades Effectively: Sell options outside the expected range to maximize the likelihood of profit.
Manage Risk: Avoid trading too close to high-risk price levels.
Avoid Emotional Decisions: Trade based on probabilities rather than speculation.
2. The Formula for Calculating Expected Moves
The calculation for an expected move may seem intimidating at first glance, but it’s surprisingly straightforward. The formula is:
Expected Move=Stock Price×Implied Volatility252×Days to Expiration\text{Expected Move} = \text{Stock Price} \times \frac{\text{Implied Volatility}}{\sqrt{252}} \times \sqrt{\text{Days to Expiration}}Expected Move=Stock Price×252Implied Volatility×Days to Expiration
Breaking It Down
Stock Price: The current price of the underlying stock.
Implied Volatility (IV): The market’s forecast of future volatility, expressed as an annual percentage.
252: The number of trading days in a year.
Days to Expiration: The number of trading days until the options contract expires.
Example
Let’s say AAPL is trading at $150, and its IV for options expiring in three days is 50%.
Expected Move=150×0.50252×3\text{Expected Move} = 150 \times \frac{0.50}{\sqrt{252}} \times \sqrt{3}Expected Move=150×2520.50×3
Step-by-step:
252≈15.87\sqrt{252} \approx 15.87252≈15.87
0.50/15.87≈0.03150.50 / 15.87 \approx 0.03150.50/15.87≈0.0315
3≈1.732\sqrt{3} \approx 1.7323≈1.732
0.0315×1.732≈0.05460.0315 \times 1.732 \approx 0.05460.0315×1.732≈0.0546
Multiply by the stock price:
150×0.0546=8.19150 \times 0.0546 = 8.19150×0.0546=8.19
Result: The expected move for AAPL over the next three days is approximately ±$8.19. This means the market anticipates AAPL will trade between $141.81 and $158.19.
3. How to Position Trades Using Expected Moves
Once you’ve calculated the expected move, the next step is to position your trades strategically. The goal is simple: sell options outside the expected range to maximize the probability of success.
Step 1: Sell Out-of-the-Money Options
Options farther from the expected range are less likely to be hit, allowing you to profit from time decay and volatility contraction.
High-probability trades typically involve selling options with deltas between 0.10 and 0.30, representing a 70–90% probability of expiring worthless.
Example:
AAPL’s expected range: $141.81–$158.19.
Sell a $160 call and buy a $165 call to create a bear call spread.
Sell a $140 put and buy a $135 put to create a bull put spread.
Step 2: Use Iron Condors for Non-Directional Trades
An iron condor combines a bear call spread and a bull put spread, creating a profit zone between the sold strikes.
Example Setup:
Bear Call Spread:
Sell $160 call for $1.00.
Buy $165 call for $0.50.
Bull Put Spread:
Sell $140 put for $1.20.
Buy $135 put for $0.70.
Net Credit: $1.00.
Outcome Scenarios:
Stock Stays Within Range ($141.81–$158.19):
All options expire worthless.
Profit = $1.00 × 100 shares = $100 per contract.
Stock Moves Outside Range:
Maximum loss is limited to the width of one spread minus the credit received.
Loss = $5.00 (spread width) − $1.00 = $4.00 × 100 shares = $400 per contract.
Step 3: Use Credit Spreads for Directional Bias
If you have a directional bias (e.g., slightly bullish or bearish), use a single credit spread:
Bull Put Spread: If you expect the stock to stay above the lower bound of the expected range.
Bear Call Spread: If you expect the stock to stay below the upper bound.
Example:
Sell a $145 put and buy a $140 put to create a bull put spread if you expect AAPL to stay above $145.
4. The Role of Volatility and Probability
Volatility’s Impact
High Volatility: Increases expected moves and option premiums, making selling options more profitable.
Low Volatility: Reduces expected moves, creating tighter ranges but smaller premiums.
Probability of Success
Options pricing reflects probabilities. Selling options outside the expected range inherently gives you a statistical edge because the market has already priced in extreme moves.
5. Risk Management: The Key to Striking the Balance
While expected moves offer a statistical edge, no strategy is without risk. Proper risk management ensures you can weather unexpected moves.
Best Practices
Position Sizing: Limit each trade to no more than 1–2% of your total account value.
Set Stop-Losses: Exit trades if the stock breaches the short strike.
Adjustments: Roll threatened strikes further out if the stock approaches the expected range boundary.
6. Case Studies: Applying Expected Moves in Real Trades
Case 1: Successful Iron Condor
Stock: MSFT at $250.
Expected Range: $240–$260.
Setup:
Sell $265 call, buy $270 call.
Sell $235 put, buy $230 put.
Outcome: MSFT closes at $255. All options expire worthless.
Profit: Net credit collected.
Case 2: Adjusting a Threatened Spread
Stock: TSLA at $900.
Expected Range: $850–$950.
Setup:
Sell $960 call, buy $970 call.
Outcome: TSLA rallies to $960 pre-earnings. Adjust by rolling the call spread to $980/$990.
Final Outcome: TSLA closes at $965. Adjusted spread expires worthless. Reduced profit but avoided a loss.
7. Conclusion: The Art of Expected Moves
Mastering expected moves is about understanding probabilities, managing risk, and executing trades with precision. By positioning options trades just outside these probabilistic ranges, you create high-probability opportunities that capitalize on market inefficiencies.
Expected moves aren’t guarantees—they’re tools for informed decision-making. Like a map, they guide but don’t dictate. For traders who respect their power and combine them with disciplined risk management, they can transform market uncertainty into a reliable edge.