Hello I would like to add some comments to the above…
The formula is not simple at all. Only if you assume a Bernoulli distribution for your trades it takes this simple form.
Then why are we trading?
Uncertain but quantifiable within limits. Nothing is 100% certain but you can use your data to take an estimation for a range of your edge.
Correct.
Wrong. Kelly optimizes for the median wealth. Taking additional risk will optimize your average wealth. The problem is that rare events are the main contributors for this average wealth so in the vast majority of scenarios what you are interested in is the median (most probable scenario). Additional risk doesn’t always compensate with extra return but on average and I explained from where this average originates.
Wrong. It is applicable in every case. An example of a ‘system’ with 3 possible outcomes…
R-multiple Probability
-1 ----- 1%
-0.05 ----- 10%
+0.13 ----- 89%
1/10 Kelly = 9%
Monte Carlo of Wealth after 100 trades (median 248, starting capital 100)
Again for anyone interested how Kelly is implemented in the real world, read Ed Thorp’s paper. He has managed billions of dollars for decades using Kelly and is one of the best mathematicians around.
Regards
This famous formula seems simple enough [Edge/Odds].
The formula is not simple at all. Only if you assume a Bernoulli distribution for your trades it takes this simple form.
This is because you typically have no edge within an efficient market.
Then why are we trading?
And, the odds are truly uncertain. It is a random variable with an undefined distribution (it is not normal).
Uncertain but quantifiable within limits. Nothing is 100% certain but you can use your data to take an estimation for a range of your edge.
This formula, per the author, also suggests that there is an optimal level of risk beyond which you are going to get hurt and wipe out your capital.
Correct.
This is contrary to investment theory that suggests that additional risk should always be compensated with extra return otherwise no investors would be willing to take on this additional risk.
Wrong. Kelly optimizes for the median wealth. Taking additional risk will optimize your average wealth. The problem is that rare events are the main contributors for this average wealth so in the vast majority of scenarios what you are interested in is the median (most probable scenario). Additional risk doesn’t always compensate with extra return but on average and I explained from where this average originates.
However, the Kelly formula is only applicable to strategies where every winner is the same size and every loser is the same size - hardly the case in actual trading.
Wrong. It is applicable in every case. An example of a ‘system’ with 3 possible outcomes…
R-multiple Probability
-1 ----- 1%
-0.05 ----- 10%
+0.13 ----- 89%
1/10 Kelly = 9%
Monte Carlo of Wealth after 100 trades (median 248, starting capital 100)
Again for anyone interested how Kelly is implemented in the real world, read Ed Thorp’s paper. He has managed billions of dollars for decades using Kelly and is one of the best mathematicians around.
Regards
