Thanks. Fortunately I figured out what was nagging at me so no need for gutfeel empiricism.Quote from dom993:
Take 10 strategies, do a manual ranking of them based on your gutfeel / preferences / etc, then look for formulas that will rank them accordingly.
Include CL always-in / 1 contract in the mix if you want.
For the same reasons that you rank anything else. So you can focus on the best and discard the ones that aren't worth the time and effort.Quote from vicirek:
Why would you rank profitable systems.
What does that mean?Quote from vicirek:
Put them all to work in real time and enjoy the money they make for you. Use your math skills to add the profits.
Quote from kut2k2:
Incidentally the CL data you included is insufficient for calculation of the Kelly fraction. Weird but true.
Sorry, I don't have Excel. But it's not hard for you to get your Kelly fraction. Just use Excel's Solver routine to solve the Kelly equation in the first post.Quote from dom993:
Trade-list attached - I don't use the Kelly fraction, so I wouldn't be able to compute the SAS for this system, but if you don't mind doing it and sharing the result that would be great.
I trade this system using a 50,000 account for 1 contract.
Quote from kut2k2:
Here's what I hope is the final upgrade to the System Achievement Score :
SAS == 4*k*max[ 0, E ]*PF*min[ 1, N/1000 ] ,
where
k is the solution to the Kelly equation (see the OP),
E is the expectation (%/100),
PF is the profit factor (see below),
N is the number of trades in the performance evaluation.
PF is the ratio of the gain total to the absolute value of the loss total.
PF == sum[ max[ 0, Ri ] ]_i=1toN / sum[ max[ 0, -Ri ] ]_i=1toN
SAS[ +2, -1 ] = 4*.25*.5*2 = +1.0000