robster970
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I came across this post which is an excellent response to a great post from Shakone....
It got me thinking about the nature of discretionary trading and the difficulty in following the maxim, trade what you see, not what you think and how automation takes care of that non-trivial problem.
I can also see from a institutional point of view that automation is the most viable way of scaling a trading operation. The benefits are obvious.
However, after reading 'The Hour between the Dog and Wolf' which is written by a (now) neuroscientist who was a bond trader, covering the neurological and physiological mechanisms that come into play whilst trading, I cannot help but feel that humans, when at their peak, will always outperform machinery. This is largely down to the massively parallel processing capabilities of the brain which still cannot be replicated by machine.
So I believe that human based, discretionary trading will always outperform an algorithm and that system/algo based trading is useful when trying to scale an operation and in itself is a compromise between scaling and individual, human excellence.
Anyway, am curious about other's opinions on this.
Can I be even more simplistic and just say that humans also struggle to understand, visually, basic geometry. I'm yet to show anyone an example of a smooth MA crossover who, looking at the trades taken, think it isn't overall profitable and are always surprised to find that the ranging periods are actually often more harmful than the trending periods are profitable. The same logic applies to visual confirmation of breakouts, support and resistance, key areas etc. The brain somehow blots out what they don't want to see. Institutions don't trade anything they can't test empirically (any instrument that has been around for years anyway - ignore certain ETFs and exotic indices traded by a certain Whale for this example). Yet retail traders do on the basis that it 'looks right' and all they need to do is sort out their psychology. This, for me, is the most startling difference and a tragic mistake. Method trumps psychology every time. Laziness and ignorance of technology can barely be tolerated in this industry these days - you must be able to thoroughly test your ideas. Go to almost any IB's careers page and see if they are looking for entry level traders. No, they want developer associates and the odd VP P&L controller. Nearly all senior traders will be ex Python dorks in another induction cycle and frankly they deserve it. Market forces at work....
It got me thinking about the nature of discretionary trading and the difficulty in following the maxim, trade what you see, not what you think and how automation takes care of that non-trivial problem.
I can also see from a institutional point of view that automation is the most viable way of scaling a trading operation. The benefits are obvious.
However, after reading 'The Hour between the Dog and Wolf' which is written by a (now) neuroscientist who was a bond trader, covering the neurological and physiological mechanisms that come into play whilst trading, I cannot help but feel that humans, when at their peak, will always outperform machinery. This is largely down to the massively parallel processing capabilities of the brain which still cannot be replicated by machine.
So I believe that human based, discretionary trading will always outperform an algorithm and that system/algo based trading is useful when trying to scale an operation and in itself is a compromise between scaling and individual, human excellence.
Anyway, am curious about other's opinions on this.