Top Bull Put Candidates
Columns show symbol, average put option chain implied volatility, historical volatility (annualized), median and max theoretical return*, and median and max theoretical net win %.
| Symbol | Avg Put Volatility | Historical Volatility† | Median Hypothetical Gross Return-on-Risk* | Median Theoretical Net Win % | Max Hypothetical Gross Return-on-Risk* | Max Theoretical Net Win % |
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* These calculations are for educational purposes only and should not be used to make investment decisions.
† Historical Volatility is expressed as an annualized percentage via ATR% × √252.
Hypothetical gross return on risk is modeled per bull put spread as: Hypothetical Gross Return-on-Risk ≈ (Expected Net Credit ÷ Max Theoretical Loss) × (365 ÷ Days to Expiration). Expected Net Credit is the modeled net premium received for opening the spread, Max Theoretical Loss is the structural spread width minus that credit, and Days to Expiration is the number of calendar days until option expiration.
For each symbol, we scan eligible bull put spread candidates that pass current risk and pricing gates. Median Hypothetical Gross Return-on-Risk* is the middle model-derived annualized gross return-on-risk across those candidates. The maximum hypothetical gross return-on-risk* column shows the highest model-derived annualized gross return-on-risk among those candidates when that column is enabled.
Theoretical Net Win % measures modeled edge across many similar trades. It is roughly: Theoretical Net Win % ≈ Modeled Probability of Profit − Breakeven Win Rate. Median Theoretical Net Win % is the middle value of that modeled edge across eligible bull put candidates for the symbol. The maximum theoretical net win percentage column shows the highest modeled edge across those candidates when that column is enabled. Even when Hypothetical Gross Return-on-Risk appears high, realized losses in stressed markets or gap scenarios can approach the full structural max loss (spread width minus net credit) before costs.