What Is Option Probability?
Option probability calculations estimate the likelihood that an option will expire in-the-money or that a stock will reach a specific price by expiration. These probabilities are derived from implied volatility and assume a log-normal distribution of stock returns (the same assumption underlying the Black-Scholes model). While not exact predictions, they provide a data-driven framework for assessing the odds of different outcomes.
Understanding probabilities is essential for options traders because it allows them to evaluate whether the premium they are paying (or receiving) is fair relative to the odds. A call option with a 25% probability of expiring ITM should cost less than one with a 60% probability. Professional options traders think in terms of probabilities and expected values rather than simple directional bets.
For a quick probability estimate, use the option's Delta. A call with Delta of 0.30 has approximately a 30% probability of expiring ITM. A put with Delta of -0.40 has approximately a 40% probability. This approximation works well for near-term options.
Probability Formulas
- 1Expected move = $100 × 0.30 × sqrt(30/365) = $8.60
- 268% range: $91.40 to $108.60
- 395% range: $82.80 to $117.20
- 4d2 = [ln(100/105) + (0.05 - 0.045) × 0.0822] / [0.30 × 0.2867]
- 5d2 = [-0.04879 + 0.000411] / 0.08601 = -0.563
- 6P(ITM) = N(-0.563) = 28.7%
- 7P(OTM) = 1 - 28.7% = 71.3%
- 8P(reaching $110) = N(d2 at $110) ≈ 15.2%
| Delta | Prob ITM | Prob OTM | Typical Use |
|---|---|---|---|
| 0.85 | 85% | 15% | Deep ITM stock replacement |
| 0.70 | 70% | 30% | Conservative directional trade |
| 0.50 | 50% | 50% | ATM, maximum uncertainty |
| 0.30 | 30% | 70% | Moderate OTM, income selling |
| 0.16 | 16% | 84% | 1 std dev OTM, iron condor wings |
| 0.05 | 5% | 95% | Far OTM, very low probability |
Using Probabilities in Trading
- Probability calculations assume log-normal distribution (may underestimate tail events)
- Real-world probabilities differ from risk-neutral probabilities used in pricing
- Higher IV increases the expected move and widens probability ranges
- Probability does not account for direction, only magnitude
- Market events (earnings, Fed) can cause moves far beyond expected ranges
To estimate the expected earnings move, look at the ATM straddle price for the nearest post-earnings expiration. Divide by the stock price. If the $100 stock ATM straddle costs $7, the market expects about a 7% move. Compare this to the stock's average historical earnings move to assess if the market is overestimating or underestimating the move.
Option probabilities assume normal market conditions. Black swan events, earnings surprises, geopolitical shocks, and other unexpected events can cause moves far beyond what probabilities suggest. A 95% probability of staying in a range still means a 5% chance of breaking out, and those 5% events can be catastrophic for short option positions.