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Jack's avatar

Great post, James! I have two questions, want to hear your takes. 1. I sometime see far ITM put sales in your database. They likely won’t expire worthless, how do we interpret that? 2, in put selling, a key is to manage the loss when the put is broken. Even if I win 90% the time, that 1-put loss may take away almost all the profits from the 90% wins.(I had a tough lesson on $$SMCI last year☹️) With a sudden gap down on non-ER event, I don’t even have the time to stop-loss. Then weather to hold it further or cut with huge loss was a poisonous pill. Do you have any suggestions on how to mitigate/avoid such situations?

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Russ Abbott's avatar

Two questions.

1. What do you recommend when the underlying breaks its 21-day but the S&P doesn't -- or vice versa?

2. GB's data presumably counted a position as a win even if it fell below break-even but recovered before expiration. Does it make sense to hold below break-even hoping for a recovery? (An argument against that: it's likely that once a position breaks below break-even, the 21-day will break soon after.)

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MDTK's avatar

This is great additional information, thank you GB for providing it. However I hope all who use it have the critical thinking skills to realise they need to compare this to a benchmark and can’t look at it in isolation. The win rate of blinding selling 30 delta puts on broad index ETFs a daily basis over this sample period is a high number, high enough that I think it would surprise many. The t-stat of this sample vs that strategy would be interesting.

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Trumplestiltskin's avatar

High win rates are certainly easy to get behind, but what's the average win/average loss ratio ?

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Garrett Heator's avatar

thanks Geoff Bezos! love it

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BagOfTwizzlers's avatar

JB, GB - thanks very much for the work you’ve put in here. Really impressive stuff.

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C4pusher's avatar

Thank you James, truly..

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Frank Mazzeo's avatar

awesome analysis!

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