Candlestick stock analysis with genetic algorithms

摘要

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.