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Currency orders and exchange-rate dynamics: explaining the success of technical analysis

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Abstract

This paper provides a microstructural explanation for the success of two familiar predictions from technical analysis: 1) trends tend to be reversed at predictable support and resistance levels, and 2) trends gain momentum once predictable support and resistance levels are crossed. ; The explanation is based on a close examination of stop-loss and take-profit orders at a large foreign exchange dealing bank. Take-profit orders tend to reflect price trends, and stop-loss orders tend to intensify trends. The requested execution rates of these orders are strongly clustered at round numbers, which are often used as support and resistance levels. Significantly, there are marked differences between the clustering patterns of stop-loss and take-profit orders, and between the patterns of stop-loss buy and stop-loss sell orders. These differences explain the success of the two predictions.

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  • Carol L. Osler, 2001. "Currency orders and exchange-rate dynamics: explaining the success of technical analysis," Staff Reports 125, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:125
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    Cited by:

    1. Akram, Q. Farooq & Rime, Dagfinn & Sarno, Lucio, 2008. "Arbitrage in the foreign exchange market: Turning on the microscope," Journal of International Economics, Elsevier, vol. 76(2), pages 237-253, December.
    2. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    3. Carol Osler & Xuhang Wang, 2012. "The Microstructure of Currency Markets," Working Papers 49, Brandeis University, Department of Economics and International Business School.
    4. Konstantin Tyurin, 2004. "High-Frequency Principal Components and Evolution of Liquidity in a Limit Order Market," Econometric Society 2004 North American Summer Meetings 579, Econometric Society.
    5. Ken Chung & Anthony Bellotti, 2021. "Evidence and Behaviour of Support and Resistance Levels in Financial Time Series," Papers 2101.07410, arXiv.org.
    6. Gehrig, Thomas & Menkhoff, Lukas, 2003. "Technical Analysis in Foreign Exchange - The Workhorse Gains Further Ground," Hannover Economic Papers (HEP) dp-278, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Robin Pope & Reinhard Selten & Johannes Kaiser & Sebastian Kube & Jürgen Hagen, 2012. "Exchange rate determination: a theory of the decisive role of central bank cooperation and conflict," International Economics and Economic Policy, Springer, vol. 9(1), pages 13-51, March.
    8. Martin D. D. Evans(Georgetown University and NBER) and Richard K. Lyons(U.C. Berkeley and NBER, Haas School of Business), 2005. "Exchange Rate Fundamentals and Order Flow (July 2004)," Working Papers gueconwpa~05-05-03, Georgetown University, Department of Economics.

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