market returns, negative & positive, displayed on a histogram, resemble cauchy distribution not normal distribution. this actually may help your case of placing flies ATM because in a cauchy distribution, you get more narrow, higher peaks in the middle, and heavyyy tails on both sides.
also, fun fact, if you turn all market returns to positive numbers and turn it into a histogram; you get pareto. check the tails, they're heavy and they have allll the effect on the "mean"; if a mean even exists....
Hey Ama, thanks for the post.
I agree yes market returns do not resemble a normal curve, I don't think anyone has thought that since the days of Bachelier lol but I think it was Osbourne who first discovered
this phenomena with the Cauchy distribution. I agree with you, it makes sense
intuitively, you returns should cluster right around break-even, while having some big outliers positive/negative.
In regards to this helping my case, I'm not too sure. First off I don't just place flies ATM. Yes, usually I do but its not the only way I structure these set ups. I use volatility and expected moves as well for pin risk plays. Spray and pray baby.
Cauchy distro looks like a Low IV distro in the body, and high IV distro in the wings. The lower the volatility the more expensive the fly will be, and the higher the vol the cheaper.
I'm not sure what you mean by the "mean" not existing. Its a statistical equation, measuring dispersion of data, its to measure relativeness and averages. I know you know this but yeah lol.
Or, do you mean in regard to the Cauchy distribution compared to the normal? The Cauchy doesn't obey the law of large numbers, the avg location never converges to any fixed number. Meaning highly "unstable average". Cauchy mathematically also has no finite moments, I.e., mean, variance, but can be normalized.Its very interesting.
The only thing the Cauchy and normal distro have in common is their modes (ii think)