In other words, log(wealth) is the ONLY utility function that is consistent with the prefers-an-almost-surely-dominant-strategy heuristic (in the model, in the long run)
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to be explicit: are you saying that you are always trying to maximize ev(log(wealth)), or only in the case of infinitely repeating log-identical bets where you can only choose a single % of your wealth to bet each time?
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If the outcomes are i.i.d., maximizing ev(log(wealth))) yields an optimal fixed fraction strategy.
If they are not i.i.d., with no restrictions on the distribution of the process, maximizing the conditionally expected log given current information is asymptotically optimal.
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what do you mean by "optimal"?
I think (?) the following strategy will beat your proposed strategy more than 50% of the time:
a) bet 1.1x Kelly until you're in the 75th percentile outcome that Kelly would be at or the 25th percentile
b) afterwards, do Kelly
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Optimal in that it induces terminal wealth W* such that E(W/W*) <=1 for all other strategies W (Cover's "Elements of Info Theory" 16.33).
Then by Markov's inequality, P(W>= tW*) <= 1/t, t>=1: an opponent can't outperform W* by a factor t with p > 1/t.
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sorry to be clear here by wealth do you mean $ or log($) or something else?
if you mean $ then the first part is false
if you mean log($) then the second is false
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$'s - the amount of $'s you have at the end of the period [1,t] as you take the limit t->inf.
I do not think this is false, actually a long-time known result? It is a concrete claim so could you explain why you believe it is false?
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Replying to @_charlienoyes @danrobinson and 2 others
what do you mean by "optimal"?
I think (?) the following strategy will beat your proposed strategy more than 50% of the time:
a) bet 1.1x Kelly until you're in the 75th percentile outcome that Kelly would be at or the 25th percentile
b) afterwards, do Kelly
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Replying to @_charlienoyes @SBF_Alameda and 3 others
If you suggest some gamble dynamics we can simulate this and show that the Kelly strategy dominates yours in the limit, as expected.
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twitter.com/SBF_Alameda/st
TO BE CLEAR when you say "dominates yours in the limit" are you using E(W/W*), where W* is the $ you end up with W is the $ I end up with?
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if that is what your claim is then I'm happy to go with "go all in every time" though note that, the further out in time we are simulating, we'll need to simulate exponentially many cases in order for mine to win