Scotty2Cues
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risk:reward and Kelly's criterion
Been reading about Kelly's criterion. It gives the fraction of your account you should bet to give you the most optimal account growth if you know the probabilities of a win/loss.
The formula is f = [p(R+1)-1]/r
f = fraction to risk,
p = probability of win
R = reward as in 1: R
Then on average, each trade would grow the account by
y = [(1+Rf)^p][(1-f)^(1-p)]
Assume we have a trade setup with 60% probability of winning and our risk:reward is 1:1
Kelly's formula gives f = 20%!! and y = 1.020 so after 10 trades we can expect our starting account to have grown by 22%
Or if we risk 3% then after 10 trades we can expect account to have grown by 5.7%
(excellent article on Kellys criterion by Tom Weideman here http://groups.google.com/group/rec.gambling.poker/msg/7bb09884cfac7678
Been reading about Kelly's criterion. It gives the fraction of your account you should bet to give you the most optimal account growth if you know the probabilities of a win/loss.
The formula is f = [p(R+1)-1]/r
f = fraction to risk,
p = probability of win
R = reward as in 1: R
Then on average, each trade would grow the account by
y = [(1+Rf)^p][(1-f)^(1-p)]
Assume we have a trade setup with 60% probability of winning and our risk:reward is 1:1
Kelly's formula gives f = 20%!! and y = 1.020 so after 10 trades we can expect our starting account to have grown by 22%
Or if we risk 3% then after 10 trades we can expect account to have grown by 5.7%
(excellent article on Kellys criterion by Tom Weideman here http://groups.google.com/group/rec.gambling.poker/msg/7bb09884cfac7678
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