In discussion of the post below, Jonathan Gewirtz observes:
But you can reduce "path risk" by reducing bet size.....a participant in the experiment is likely to lose money if, as Paulos assumes, he bets his entire stake on each trade, because in that case it takes only a few losses in a brief sequence of trades effectively to wipe him out. But in real life you don’t have to bet that big. Your odds of long-term profitability are much better if you risk only a small fraction of your total capital on each trade. Bet-size optimization can't transform a losing game into a winning game, but you can blow up in a winning game if you bet too big. Small systematic variations in bet size can create enormous differences in end-state wealth in positive-expectation games.
It is a fascinating paradox and begs questions about practical applications. Obviously you can't just superimpose two losing systems and expect to make money!
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