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The Profitability of Technical Analysis: A Review

Citations

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Cited by:

  1. Olivier Brandouy & Philippe Mathieu, 2006. "A Broad-Spectrum Computational Approach for Market Efficiency," Computing in Economics and Finance 2006 492, Society for Computational Economics.
  2. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
  3. Janice How & Martin Ling & Peter Verhoeven, 2010. "Does size matter? A genetic programming approach to technical trading," Quantitative Finance, Taylor & Francis Journals, vol. 10(2), pages 131-140.
  4. Moews, Ben & Ibikunle, Gbenga, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
  5. Roscoe, Philip & Howorth, Carole, 2009. "Identification through technical analysis: A study of charting and UK non-professional investors," Accounting, Organizations and Society, Elsevier, vol. 34(2), pages 206-221, February.
  6. Alexeev, Vitali & Tapon, Francis, 2011. "Testing weak form efficiency on the Toronto Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 661-691, September.
  7. Perlin, M., 2007. "M of a kind: A Multivariate Approach at Pairs Trading," MPRA Paper 8309, University Library of Munich, Germany.
  8. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
  9. Stefanescu, Răzvan & Dumitriu, Ramona, 2015. "Buy and sell signals on Bucharest Stock Exchange," MPRA Paper 89014, University Library of Munich, Germany, revised 05 Jan 2016.
  10. Achilleas Zapranis & Prodromos E. Tsinaslanidis, 2012. "Identifying and evaluating horizontal support and resistance levels: an empirical study on US stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 22(19), pages 1571-1585, October.
  11. Jaroslaw Klepacki, 2024. "Co-variance in Action: Analyzing the Impact of EUR/USD Exchange Rate Changes on Polish Zloty (PLN) Valuation (2019–2022) as a Predictive Tool in Forex Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 952-966.
  12. Schulmeister, Stephan, 2006. "The interaction between technical currency trading and exchange rate fluctuations," Finance Research Letters, Elsevier, vol. 3(3), pages 212-233, September.
  13. David Garcia & Frank Schweitzer, 2015. "Social signals and algorithmic trading of Bitcoin," Papers 1506.01513, arXiv.org, revised Sep 2015.
  14. Stephan Schulmeister, 2008. "Components of the profitability of technical currency trading," Applied Financial Economics, Taylor & Francis Journals, vol. 18(11), pages 917-930.
  15. Shangkun Deng & Haoran Yu & Chenyang Wei & Tianxiang Yang & Shimada Tatsuro, 2021. "The profitability of Ichimoku Kinkohyo based trading rules in stock markets and FX markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5321-5336, October.
  16. Cheol‐Ho Park & Scott H. Irwin, 2010. "A reality check on technical trading rule profits in the U.S. futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(7), pages 633-659, July.
  17. Jorge Faleiro & Edward Tsang, 2018. "Black Magic Investigation Made Simple: Monte Carlo Simulations and Historical Back Testing of Momentum Cross-Over Strategies Using FRACTI Patterns," Papers 1808.07949, arXiv.org.
  18. Charlotte, Christiansen, 2011. "Intertemporal risk-return trade-off in foreign exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 535-549, October.
  19. Perlin, M., 2007. "Evaluation of pairs trading strategy at the Brazilian financial market," MPRA Paper 8308, University Library of Munich, Germany.
  20. Batchelor, Roy & Kwan, Tai Yeong, 2007. "Judgemental bootstrapping of technical traders in the bond market," International Journal of Forecasting, Elsevier, vol. 23(3), pages 427-445.
  21. Ben Marshall & Sun Qian & Martin Young, 2009. "Is technical analysis profitable on US stocks with certain size, liquidity or industry characteristics?," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1213-1221.
  22. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability Of Technical Trading Rules In Us Futures Markets: A Data Snooping Free Test," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19011, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  23. Stephan Schulmeister, 2007. "The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics," WIFO Working Papers 290, WIFO.
  24. Stephan Schulmeister, 2009. "Technical Trading and Trends in the Dollar-Euro Exchange Rate," WIFO Studies, WIFO, number 37582.
  25. Schulmeister, Stephan, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, Elsevier, vol. 18(4), pages 190-201, October.
  26. Ben Moews & Gbenga Ibikunle, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Papers 2002.10385, arXiv.org.
  27. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Can commodity futures be profitably traded with quantitative market timing strategies?," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1810-1819, September.
  28. Jiali Fang & Ben Jacobsen & Yafeng Qin, 2014. "Predictability of the simple technical trading rules: An out‐of‐sample test," Review of Financial Economics, John Wiley & Sons, vol. 23(1), pages 30-45, January.
  29. Hannah Thinyane & Jonathan Millin, 2011. "An Investigation into the Use of Intelligent Systems for Currency Trading," Computational Economics, Springer;Society for Computational Economics, vol. 37(4), pages 363-374, April.
  30. Huishu Zhang & Jianrong Wei & Jiping Huang, 2014. "Scaling and Predictability in Stock Markets: A Comparative Study," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-5, March.
  31. Chen, Shi & Bao, Si & Zhou, Yu, 2016. "The predictive power of Japanese candlestick charting in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 148-165.
  32. Shangkun Deng & Kazuki Yoshiyama & Takashi Mitsubuchi & Akito Sakurai, 2015. "Hybrid Method of Multiple Kernel Learning and Genetic Algorithm for Forecasting Short-Term Foreign Exchange Rates," Computational Economics, Springer;Society for Computational Economics, vol. 45(1), pages 49-89, January.
  33. Andreas Grönlund & Il Gu Yi & Beom Jun Kim, 2012. "Fractal Profit Landscape of the Stock Market," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-5, April.
  34. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
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