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Ultimate Algorithmic Trading System

Using automated systems for trading in stock markets

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GENETIC OPTIMIZATION, WALK FORWARD

FIGURE 8.9

AmiBroker Monte Carlo settings dialog.

trades suggest this important correlation is ignored when trades are jumbled. If

you think about it, it sort of makes sense when dealing with a trend-following

algorithm. Trend-following trades can follow a cyclical pattern—one large winner

due to a trend, followed by a series of small losers that occur in the absence of a

trend. You can see that the small losers are a consequence of the dissipation of the

trend. This series of trades, big winner, small losers demonstrates a level of trade

interdependency. The Turtles felt like a loser might follow a winner and therefore

utilized the Last Trade Was a Loser filter. There has been much research on this topic

and the consensus has been that if serial correlation existed, it only applied to the first

subsequent trade. All other trades were independent events. If serial correlation is

a concern, a Monte Carlo simulation on equity curve segments would be a solution.

Each segment would contain the same series of trades and therefore maintain the

correlation. Since we are dealing with a large majority of alternate paths I don’t

necessarily think you need to concern yourself with serial correlation. So just go

www.rasabourse.com

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