I'll post the results of my study once it's completed. It was doing very well in chop but getting killed in trending, as expected.
Anyway, I wanted to post the findings of an Economics experiment at my university. The experiment goes like this:
- bidders bid on a product of value unknown to them that is random between 0.00 and 1.00
- sellers see their value and the bid from the bidder, and retain the highest of the two
- bidders earn 1.5x the true value of the product if their bid is accepted.
The funny think is that accepted bids are at a random interval between 0 and the bid, so the average accepted bid is at bid/2. The bidder gets a value 1.5x this to receive 0.75*bid, but then gives his bid money to the seller and earns a net earnings of -0.25*bid. In the experiment, people's average bids are around 0.40 and never progress towards 0, the optimal bid.
The importance of this is that people constantly accept losses because they get a small value from winning. So, people's utility looks something like this:
Utility(win, value) = a*p(win) + b*EMV(bid), where a and b are some kind of constant or function.
This easily explains why people still trade when they are losing, and why people gamble in slots when they lose. It also probably explains why I continue to trade at EMVs at or slightly below zero in the long run. I only stop when the disutility of my negative bottom line or huge time costs are large enough to warrant that my habits immediately cease.
So from this I now have greater assurance that intuitivel trading (i.e. non-analytic or non-quant) is a poor decision. Results should continue to be analytically and statistically based (as mine have), but approaches should be as well (as mine have not). On with studies, down with the often pathetic limitations of the human brain.