在國內有不少人運用技術分析去分析研究股票試圖獲利，最為耳熟能詳的指標便是「黃金交叉買入、死亡交叉賣出」。但股市是零和遊戲(未考慮手續費和證交稅)，若是大多數人都這麼做，即使原本可以獲利也會變成賠錢，因此在此時若換個方向思考，將「黃金交叉買入、死亡交叉賣出」改成「死亡交叉買入、黃金交叉賣出」，是否會比原來的獲利來得高呢？
　　
　　本文所選取的樣本為台灣股市中10檔股票，選用的技術指標為以下三種(1)移動平均線法則(2)隨機指標法則(3)相對強弱法則，將其分為正常組和對照組，正常組即依循「黃金交叉買入、死亡交叉賣出」，而對照組則依循「死亡交叉買入、黃金交叉賣出」，並將兩組報酬率以兩母體平均數差t檢定進行比較。研究結果顯示，30組股票中5組是對照組報酬率大於正常組報酬率，至於正常組大於對照組報酬率是0組，其他組股票皆不顯著。

　　Many people are trying to make profit by using technical analysis of stocks in Taiwan. The most popular indicator is the "Buying at gold cross and selling at dead cross." However, the stock market is a zero-sum game (without considering fees and license taxes), if most of people do the same way, even the profitable way might become losing way. This study attempts to change the stock trading direction by " Buying at gold cross and selling at dead cross "to" Buying at dead cross and selling at gold cross ", and tries to examine whether or not it is more profitable than the original way.
　　This study collected 10 stocks in the Taiwan stock market as the subjects. Three stock technical indicators are used (1) moving average (2) stochastic rule (3) the relative strength of the law. Samples are divided into two groups: normal group and control group. Normal group followed " Buying at gold cross and selling at dead cross", and control group followed the " Buying at dead cross and selling at gold cross ." The return rate of the two groups were examined by T-test. The results showed that the return rate of 5 stocks in the control group are greater than normal groups, and 25 of 30 stocks have no significant difference.

Bachelier, L. (1900). Theorie de la speculation: Gauthier-Villars.
Bessembinder, H., & Chan, K. (1995). The profitability of technical trading rules in the Asian stock markets* 1. Pacific-Basin Finance Journal, 3(2-3), 257-284.
Brown, P., Keim, D. B., Kleidon, A. W., & Marsh, T. A. (1983). Stock return seasonalities and the tax-loss selling hypothesis* 1:: Analysis of the arguments and Australian evidence. Journal of financial economics, 12(1), 105-127.
Chang, R. P., McLeavey, D., & Rhee, S. G. (1995). Short term abnormal returns of the contrarian strategy in the Japanese stock market. Journal of Business Finance & Accounting, 22(7), 1035-1048.
Conrad, J., & Kaul, G. (1998). An anatomy of trading strategies. Review of Financial Studies, 11(3), 489.
Cootner, P. H. (1964). The random character of stock market prices.
Cowles, A. (1933). Can stock market forecasters forecast? Econometrica: Journal of the Econometric Society, 309-324.
Cowles, A., & Jones, H. E. (1937). Some a posteriori probabilities in stock market action. Econometrica, Journal of the Econometric Society, 280-294.
Cross, F. (1973). The behavior of stock prices on Fridays and Mondays. Financial Analysts Journal, 29(6), 67-69.
De Bondt, W. F. M., & Thaler, R. (1985). Does the stock market overreact? Journal of finance, 793-805.
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417.
Fama, E. F. (1991). Efficient capital markets: II. Journal of finance, 1575-1617.
French, K. R. (1980). Stock returns and the weekend effect* 1. Journal of financial economics, 8(1), 55-69.
Granville, J. E. (1960). A strategy of daily stock market timing for maximum profit: Prentice-Hall.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society, 263-291.
Kendall, D. G. (1953). Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain. The Annals of Mathematical Statistics, 24(3), 338-354.
Mullainathan, S., & Thaler, R. H. (2000). Behavioral economics: National Bureau of Economic Research Cambridge, Mass., USA.
Ratner, M., & Leal, R. P. C. (1999). Tests of technical trading strategies in the emerging equity markets of Latin America and Asia. Journal of Banking & Finance, 23(12), 1887-1905.
Rozeff, M. S., & Kinney, W. R. (1976). Capital market seasonality: The case of stock returns. Journal of financial economics, 3(4), 379-402.
Thaler, R. H., Tversky, A., Kahneman, D., & Schwartz, A. (1997). The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test*. The Quarterly Journal of Economics, 112(2), 647-661.
Working, H. (1934). A random-difference series for use in the analysis of time series. Journal of the American Statistical Association, 29(185), 11-24.
Wyckoff, P. (1970). Technical Analysis. Edited by Zard, FF and Kerekes, GT, The Stock Market Handbook I, Homewood¡J Dow Jones-Irwin, Inc.
安芷誼. (2005). 技術分析對台灣股票市場投資績效之探討－移動平均線法. 銘傳大學國際企業學系碩士在職專班.
李良俊. (2003). 台灣股票市場技術分析有效性之研究. 實踐大學企業管理研究所.
李怡恬. (2004). 效率市場假說之實證研究 －以亞太地區股市為例. 銘傳大學管理科學研究所.
林天運. (2007). 大盤未來走勢預測-KD指標的實證分析. 成功大學企業管理所.
林琬蓁. (2006). 運用移動平均價與量實證研究－台灣與美國股市比較. 國立高雄應用科技大學工業工程與管理系碩士班.
林澤利. (2006). 從技術指標探討台灣股市效率之研究-以台灣五十指數成份股為例. 東吳大學經濟學系.
洪美慧. (1997). 技術分析應用於台灣股市之研究-移動平均線,乖離率指標與相對強弱指標. 東海大學管理研究所.
莊遵嚴. (2008). 台灣股票市場日內價量資訊與交易策略之研究. 臺灣大學財務金融學研究所.
陳志彬. (2005). 提升技術分析獲利能力之研究-以KD隨機指標為基礎. 國立高雄應用科技大學工業工程與管理系碩士班.
陳建全. (1998). 台灣股市技術分析之實證研究. 國立台灣大學商學研究所.
陳淑玲. (2010). 臺灣股票市場技術指標之研究-不同頻率資料之分析. 東海大學財務金融學系碩士在職專班.
曾英晉. (2008). 運用技術分析研究股票市場之買賣點－台灣股市之實證. 朝陽科技大學財務金融系碩士班.
黃旭鋒. (2004). 以技術分析法則與公司特性選股之投資績效. 東海大學管理碩士學程在職進修專班.
楊家維. (1999). 技術分析用於當沖之有效性研究------台灣股市之實證分析. 國立台北大學經濟學系.
廖清達. (1998). 綜合性技術指標的有效性驗證-兼論台灣股市的弱勢效率性假說. 東華大學國際經濟研究所.
趙志遠. (2003). 臺灣股市之效率檢定及多因素模型之探討─長期追蹤資料之計量分析. 國立中央大學產業經濟研究所.
蔡尚儒. (2000). 台灣店頭市場技術分析的實證研究. 國立中正大學財務金融研究所.
鐘仁甫. (2001). 技術分析簡單法則於台灣電子個股之應用. 東海大學企業管理學系碩士班.