Quote from cornix:
Comes from my own experience of what I saw: most trading algos and most algos in general still have relatively poor abilities of reading context (not just in trading, but anywhere). For example Google cars can't drive in winter, because surrounding reality look changes. Not a slightest problem for a human to recognize the same roads and other stuff in winter or when it rains.
And trading with ability to quickly recognize context is still something human brain is able to do very easy and very well compared to robots.
That's why "human algo" (trader who developed her/his skills to the stage of nearly perfect self-automation) is still superior.
Only in cases when discipline is perfect of course, we don't consider classic emotional lapses here.
Just my subjective experience. If someone created a trading robot, which can consider context to filter stuff that must be great.
P. S. I beg pardon for possibly Al Brooks like writing style today... yesterday's night tempranillo still in effect a bit.![]()
I mean the results I just said had less than a 52% win percentage and had a 55% win percentage before that.
In day trading, supply and demand's the tell, so back testing the purest information the market gives you should be profitable.