Identifying and evaluating horizontal support and resistance levels: an empirical study on US stock markets

References

• Achelis , SB . 1995 . Technical Analysis from A to Z , Chicago : Probus Publishing .
   Google Scholar
• Bessembinder , H and Chan , K . 1995 . The profitability of technical trading rules in the Asian stock markets . Pacific-Basin Finance Journal , 3 : 257 – 84 .
   Google Scholar
• Brock , W , Lakonishok , J and Lebaron , B . 1992 . Simple technical trading rules and the stochastic properties of stock returns . Journal of Finance , 48 : 1731 – 64 .
   Web of Science ®Google Scholar
• Bulkowski , TN . 2002 . Trading Classic Chart Patterns , New Jersey : John Wiley and Sons, Inc. .
   Google Scholar
• Cheung , W , Lam , KSK and Yeung , H . 2011 . Intertemporal profitability and the stability of technical analysis: evidences from the Hong Kong Stock Exchange . Applied Economics , 43 : 1945 – 63 .
   Web of Science ®Google Scholar
• Chong , TT-L and Ng , W-K . 2008 . Technical analysis and the London Stock Exchange: testing the MACD and RSI rules using the FT30 . Applied Economics Letters , 15 : 1111 – 14 .
   Web of Science ®Google Scholar
• Coutts , JA and Cheung , K-C . 2000 . Trading rules and stock returns: some preliminary short run evidence from the Hang Seng 1985–1997 . Applied Financial Economics , 10 : 579 – 86 .
   Google Scholar
• Curcio , R , Goodhart , C , Guillaume , D and Payne , R . 1997 . Do technical trading rules generate profits? Conclusions from the intra-day foreign exchange market . International Journal of Finance and Economics , 2 : 267 – 80 .
   Web of Science ®Google Scholar
• De Zwart , G , Markwat , T , Swinkels , L and van Dijk , D . 2009 . The economic value of fundamental and technical information in emerging currency markets . Journal of International Money and Finance , 28 : 581 – 604 .
   Web of Science ®Google Scholar
• Edwards , RD and Magee , J . 1997 . Technical Analysis of Stock Trends , 7th , Boston : John Magee, Inc. .
   Google Scholar
• Efron , B . 1979 . Bootstrap methods: another look at the jackknife . The Annals of Statistics , 7 : 1 – 26 .
   Web of Science ®Google Scholar
• Efron , B . 1982 . The Jackknife, the Bootstrap and Other Resampling Plans , Philadelphia : Society for Industrial and Applied Mathematics .
   Google Scholar
• Falbo , P and Cristian , P . 2011 . Stable classes of technical trading rules . Applied Economics , 43 : 1769 – 85 .
   Web of Science ®Google Scholar
• Fama , E . 1970 . Efficient capital markets: a review of theory and empirical work . Journal of Finance , 25 : 383 – 417 .
   Web of Science ®Google Scholar
• Goodhart , C and Figliuoli , L . 1991 . Every minute counts in financial markets . Journal of International Money and Finance , 10 : 23 – 52 .
   Web of Science ®Google Scholar
• Hudson , R , Dempsey , M and Keasey , K . 1996 . A note on weak form efficiency of capital markets: the application of simple technical trading rules to UK prices 1935–1994 . Journal of Banking and Finance , 20 : 1121 – 32 .
   Web of Science ®Google Scholar
• Kavajecz , KA and Odders-White , ER . 2004 . Technical analysis and liquidity provision . The Review of Financial Studies , 17 : 1043 – 71 .
   Web of Science ®Google Scholar
• Kwon , K-Y and Kish , RJ . 2002 . Technical trading strategies and return predictability: NYSE . Applied Financial Economics , 12 : 639 – 53 .
   Google Scholar
• Leigh , W , Modani , N and Hightower , R . 2004 . A computational implementation of stock charting: abrupt volume increase as signal for movement in New York Stock Exchange composite index . Decision Support Systems , 37 : 515 – 30 .
   Web of Science ®Google Scholar
• Lo , AW , Mamaysky , H and Wang , J . 2000 . Foundations of technical analysis: computational algorithms, statistical inference, and empirical implementation . Journal of Finance , 55 : 1705 – 65 .
   Web of Science ®Google Scholar
• Marshall , BR , Cahan , RH and Cahan , JM . 2008a . Can commodity futures be profitably traded with quantitative market timing strategies? . Journal of Banking and Finance , 32 : 1810 – 19 .
   Web of Science ®Google Scholar
• Marshall , BR , Cahan , RH and Cahan , JM . 2008b . Does intraday technical analysis in the US equity market have value? . Journal of Empirical Finance , 15 : 199 – 210 .
   Web of Science ®Google Scholar
• Marshall , BR , Qian , S and Young , M . 2009 . Is technical analysis profitable on US stocks with certain size, liquidity or industry characteristics? . Applied Financial Economics , 19 : 1213 – 21 .
   Google Scholar
• Milionis , AE and Papanagiotou , E . 2009 . A study of the predictive performance of the moving average trading rule as applied to NYSE, the Athens Stock Exchange and the Vienna Stock Exchange: sensitivity analysis and implications for weak-form market efficiency testing . Applied Financial Economics , 19 : 1171 – 86 .
   Google Scholar
• Milionis , AE and Papanagiotou , E . 2011 . A test of significance of the predictive power of the moving average trading rule of technical analysis based on sensitivity analysis: application to the NYSE, the Athens stock exchange and the Vienna Stock Exchange. Implications for weak-form market efficiency testing . Applied Financial Economics , 21 : 421 – 36 .
   Google Scholar
• Mizrach , B and Weerts , S . 2009 . Highs and lows: a behavioural and technical analysis . Applied Financial Economics , 19 : 767 – 77 .
   Google Scholar
• Murphy , J . 1986 . Technical Analysis of the Future Markets: A Comprehensive Guide to Trading Methods and Applications , New York : Prentice Hall .
   Google Scholar
• Murray , S . 1975 . Schaum's Outline of Theory and Problems of Probability and Statistics , New York : McGraw-Hill .
   Google Scholar
• Osler , CL . 2000 . Support for resistance: technical analysis and intraday exchange rates . FRBNY Economic Policy Review , 6 : 53 – 68 .
   Google Scholar
• Park , C-H and Irwin , SH . 2004 . The profitability of technical analysis: a review AgMAS Project Research Report
   Google Scholar
• Pring , MJ . 2002 . Technical Analysis Explained: The successful Investor's Guide to Spotting Investment Trends and Turning Points , 4th , New York : McGraw-Hill .
   Google Scholar
• Qi , M and Wu , Y . 2006 . Technical trading-rule profitability, data snooping, and reality check: evidence from the foreign exchange market . Journal of Money, Credit and Banking , 38 : 2135 – 58 .
   Web of Science ®Google Scholar
• Raj , M and Thurston , D . 1996 . Effectiveness of simple technical trading rules in the Hong Kong futures markets . Applied Economics Letters , 3 : 33 – 6 .
   Web of Science ®Google Scholar
• Wang , J and Chan , S . 2007 . Stock market trading rule discovery using pattern recognition and technical analysis . Expert Systems with Applications , 33 : 304 – 15 .
   Web of Science ®Google Scholar
• Wang , J and Chan , S . 2009 . Trading rule discovery in the US stock market: an empirical study . Expert Systems with Applications , 36 : 5450 – 5 .
   Web of Science ®Google Scholar