When I sat down this morning and prepared that summary spreadsheet I was surprised how many pips were produced (I don't normally think in pips I think in R).
But if you think about it, it makes sense that that many are possible when you look at the number of markets traded and how many trades - the average is only 10 pips per trade.
What it highlights to me is what is possible when you automate trading because automation allows you to do things you simply can't do manually - I've said before I simply couldn't place all those trades manually not just because of the number but also the times of day. But through automation you can set programs to run 24 hours a day 5 days a week whether you're awake or asleep. And the beauty of it is all those pips are produced with very little screen time (actually only need to check what the EA's have done once a day). Yes 1000's of pips sounds a little nuts, but that's what happens when you replace people with machines or software.
I'm absolutely convinced it's the way to go. The work is all upfront - it goes into the development and testing of the EA's - and once developed and validated the work is done, apart from checking the results once a day.
I suspect the results I've posted are probably close to the average expectancy based on the backtesting results. The backtesting showed that over a 3 year period the portfolio did have a couple of negative months, so it won't always be positive, but in theory the results I showed should be close to average for the EA portfolio I have developed.
