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Home > Economists > Christopher Neely > What does genetic programming teach us about the foreign exchange market?
E) Structure of the rules
1) Rules were usually too complex to analyze by hand but those that
were understandable had extrapolative features.
2) The 55th best $/DM rule over the selection period, whose excess return was 7.34, number of
trades was 37 and correlation with the median rule was 0.9911, prescribed: "Take a long position
if the four-day minimum of the normalized exchange rate is greater than one."
F) Rules trained on $/DM data proved profitable on other exchange
rates, out of sample.
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