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20

GECCO
2006
Springer

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Candlestick stock analysis with genetic algorithms

13 years 8 months ago

Candlestick stock analysis with genetic algorithms

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Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these two techniques by creating agents that attempt to identify stocks that will change in price. The best of run individuals, produced by the genetic algorithm, performed statistically better than an agent that makes random investment decisions. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving Control Methods, and Search

Peter Belford

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Added	23 Aug 2010
Updated	23 Aug 2010
Type	Conference
Year	2006
Where	GECCO
Authors	Peter Belford

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