Quote from joesan:
The following C is intended to measure the "painfulness" of a system if traded in realtime. The bigger C the better
A=average win/ average loss
B=loss rate / win rate
C= A-B
if C<0.5 system not ideal for realtime trading
if C falls in (0.5-.075) system can be traded , but there is stress and pain involved ,need to be improved
if C falls in (0.75,1) good system, not stressful if traded in realtime
if c>1 perfect system
joesan, interesting calculation, but this method immediately rejects as "not ideal for realtime trading" any strategy where the average win is less than half of the average loser.
So if I have a strategy where my win rate is 90/100, and my loss rate is 10/100, and my average loss is 4x my average win, I get:
C=1/4-10/90=0.139
On the other hand, if we look at expectation, lets assume the average winner is $100 and the average loser is $400, with a 90% win rate. The expectation of this strategy is $50/trade, not including commissions, etc.
Based on the positive expectation, I would dig further into the strategy. How efficient is it, i.e. how much of your profit are you eating up in commissions? Are you making 10 cents on 1000 shares, or a full point on 100, for example? Are you hitting the bids or asks, or letting the market come to you (and getting rebates)? Now what is the real expectation?
Going a step further, what is the likelihood you're going to blow up? As I mentioned earlier, I think risking 35% per trade might be a bit high. But if you're lucky, you'll get away with it... Just think hedge fund manager...
But, all things being equal, I would much prefer a strategy with a C close to one!

If anybody out there wants to show me how to do that, I would appreciate it.
