There is some very good information in this thread but for me it doesnt quite come together.
Glenn is quite correct in favouring expectancy as a nice measure of trade outcomes that, if one had to take only one measure, would be better than win/loss ratio or average win/average loss. But to me it is only one part of the equation. Also, simple equity curves based on the historical sequence of trades are only looking at the sequence that did take place. They ignore the other possibilities and, sadly, those other sequences all to often seem to occur when one trades long term systems (the old back test vs real results problem).
For me you need to include:
Win loss ratio
Average Win and Average Loss
which combine to give you an expectancy and also based on historical outcomes an equity curve.
You also need to take into account the frequency with which the opportunity appears. When day trading I might get 6 opportunities a day whereas when eod futures trading on I might see 1 opportunity every 6 weeks (for one futures contract).
Finally, expectancy is not enough, one needs to understand ones risk of ruin. And thats why I favour high win rate systems over lower win rate systems. When you run montecarlo or other sims where you resequence the trades you discover that low winrate systems have a much higher chance of catastrophic failure than a high winrate system. Said another way, a 70% win system with an expectancy of 1.5 is much better than a 30% win system with an expectancy of 1.5.
Growltiger alluded to this in that the low winrate system can expect long sequences of losing trades ... and some of those sequences will ruin the trader/account. As well as being safer the equal expectancy high winrate system will be much easier to trade.
(I am assuming that in both cases you take the same risk and that the trader doesnt make any mistakes)
Hopefully that makes sense.