IBM’s computer “DeepBlue” has been beating the very best chess players for some time. Now Google’s computer “DeepMind” is beating professional players in the ancient Chinese game of Go.
We have likened chess to trading before. In the book “think, fast and slow” Daniel Kahneman explains how chess is like learning a language, but more so. There are a good deal more chess moves than there are letters of the alphabet.
Trading, and the number of trading signals, is another level again. Also, institutional traders can afford the very best computers, and more importantly, the very best programmers of algorithms. The big difference, however, is that, unlike Chess or Go, in trading we are not competing against the computers, but with them. With them we win, against them, we lose. We need to think regarding algorithms; we need to be very precise. That involves our system two (logical) thinking not our system one (instinctive) thinking.
Kahneman explains that it takes about 6 – 10 years, 5 hours a day amounting to about 10,000 hours, to become a master chess player. We know that this is true for other skills: a junior doctor about seven years, a tennis player takes a similar time (the 17-year old that wins Wimbledon started at age seven, or earlier) and as a fighter pilot I considered myself no more than competent after seven years.
Trading has three distinct areas that need mastering: trade knowledge (is the price to go up or down and over what time frame), the management of the trade and the emotion of trading. Each of which need to be mastered equally.