Candlestick technical analysis is an old trading technique that tracks the short-term price movements by employing the relationship between open, high, low, and close prices. The purpose of this thesis is to examine the predictive power of candlestick trading strategies by using the Taiwan 151 component stocks daily data for the period from 2 January 1992 to 31 December 2009. The main contribution of this thesis is using a fourprice- level approach to categorize the single-line patterns constructed by candlestick charting in a systematical manner. The approach adopted in this thesis permits us to release for the limitation of recognition in a manner not previously possible. Moreover, we not only consider transaction costs and risk but also mitigate data-snooping problems conscientiously by several appropriate methods, including the bootstrap methodology and sub-sample and out-of-sample tests. We find evidence that four patterns are profitable for the Taiwan stock market after transaction costs, including one bullish pattern and three bearish ones.