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The FinTech Trader Terminator

The lovers of Science Fiction already know the perils of allowing machines to do too much in our world (i.e. Skynet and the Terminator series). Given these concerns, I continue to hear more and more cool ways automated systems make our lives better (and will improve overall lifestyle). Beware the concept of the Trader Terminator, or as others call it, FinTech.

Many trading systems (i.e. FinTech) have automated heuristics out there to deal with situations on the Equities markets. A lot of these are simple rules like if BCM (substantial equity) goes below $12/share sell or if BCM trends upwards buy (as bad examples). Thanks to brilliant programmers, these rules and systems have (luckily) become much more complex, and with complexity comes opportunities. I have worked on early “artificial intelligence” systems, but the heuristics these days are extraordinary (in my simple understanding of them).

Trader Terminator
Eniac was the most fantastic piece of technology of its era. Now my digital watch has more computing power than this marvel of technology. Technology always evolves.

The interesting question is, even with advanced “thinking” systems, will it make things better for me (the individual investor), us (the collective that holds a mutual fund) or we (all investors in general)?

What if I design an automated trading system (the XROB2013 (or by its nickname, the Trader Terminator) ) that uses as many cool and exciting algorithms and ideas as possible? The Trader Terminator could be an exciting and new way of doing things if (as the designer) I chose the suitable algorithms and heuristics. It would be easy to test the Trader Terminator against all the old data from the market to see how the trading system might do. The problem is this is only a test environment.

XROB2013 The Next Big Fund ?

I launch my XROB2013 Mutual Fund (with a spiffy ad campaign about the Trader Terminator being the last mutual Fund you might need). It uses these algorithms to buy and sell the best stocks to hold (at the time), and for argument’s sake, we’ll say the axis we worry about is growth (i.e. we’ll ignore dividends and such). If my XROB2013 is successful, suddenly many folks want to buy shares in the Mutual Fund, and the Fund Maxes out and might be declared “Best in the show” for a while (is best in show an actual investing fund award?).

What happens next? Looking into my technology history books, there is no such thing as a secret. Since Patenting a trading heuristic isn’t likely, there will be “rip-offs” of XROB2013 that might appear (that maybe have lower MERs or such, to make them more attractive (it would be cheaper because there was no R&D, it was simply a rip off)). Suddenly XROB2013 loses its lustre for a lot of investors. Worse, the algorithms now are working against each other, creating an orthogonal change in trading ideas, so the XROB2013 “smarts” would have to be changed, or there might be further erosion of the value of the Mutual Fund.

Technology for the Sake of Technology ?

All of this is to say that no matter how great an automated trading/investing system anyone puts together, the market ends up finding ways to lower the impact of any new idea in a short time and going back to a relative level of stasis. Don’t be enticed by claims of “the next big thing” in market trading unless you are sure it’s going to work.

Feel Free to Comment

  1. Love the example, any system like this would be risk prone because even if you programmed it with all the best known rules you could find there are still unknowns such as natural disasters that it wouldn’t be able to properly factor in without human help.

    The one piece to this idea you brought up is regardless of the systems humans can still beat them (yes I am going to bring up Warren Buffett).

    But if you were to take this line of thinking for an automated system and instead of tyring to get the best returns possible settled in on a more modest but more guarenteed rate of return. I think this is where your XROB could do well – say XROB2013 – 5%.

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