[1] Alexander, S. S. (1964). Price Movements in Speculative Markets: Trends or Random Walks. Industrial Management Review, 5, 25-46.

[2] Allen, F. & Karjalainen, R. (1999). Using genetic algorithms to find technical trading rules. Journal of Financial Economics, 51, 245-271.

[3] Bacon, C. (2008). Practical Portfolio Performance Measurement and Attribution (2nd ed.). London: John Wiley & Sons.

[4] Bajgrowicz, P. & Scaillet, O. (2012). Technical trading revisited: False discoveries, persistence tests, and transaction costs. Journal of Financial Economics, 106(3), 473-491.

[5] Becker, L.A. & Seshadri, M. (2003). Comprehensibility and Overfitting Avoidance in Genetic Programming for Technical Trading Rules. Worcester Polytechnic Institute, Computer Science Technical Report WPI-CS-TR-03-09.

[6] Becker, L.A. & Seshadri, M. (2003). Cooperative Coevolution of Technical Trading Rules, Worcester Polytechnic Institute, Computer Science Technical Report WPI-CS-TR-03-15

[7] Brock, W., Lakonishock, J., & LeBaron B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. Journal of Finance, 47, 1731-1764.

[8] Cootner, P. H. (1962). Stock Prices: Random vs. Systematic Changes. Industrial Management Review, 3, 24-45.

[9] Dragotă, V., Căruntu, M. & Stoian, A. (2008). An Analysis of Closed-end Fund Puzzle for Emerging Capital Markets. Theoretical and Applied Economics, 10, 53-60.

[10] Dragotă, V. & Mitrică, E. (2004). Emergent capital markets efficiency: The case of Romania. European Journal of Operational Research, 155, 353-360.

[11] Dragotă, V., Stoian, A., Pele, D.T., Mitrica, E. & Bensafta, K.M. (2009). The Development of the Romanian Capital Market: Evidences on Information Efficiency. Romanian Journal of Economic Forecasting, 2009, 6(2), 147-160.

[12] Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25, 383-417.

[13] Fama, E. F., & Blume, M. E. (1966). Filter Rules and Stock Market Trading. Journal of Business, 39, 226-241.

[14] Gunasekarage, A. & Power, D. M (2001). The Profitability of Moving Average Trading Rules in South Asian Stock Markets. Emerging Markets Review, 2, 17-33.

[15] Hansen, P.R. (2005). A Test for Superior Predictive Ability. Journal of Business and Economic Statistics, 23(4), 365-380.

[16] Heyman, D., Inghelbrecht, K. & Pauwels, S. P. (2012). Technical Trading Rules in Emerging Stock Markets. Available at SSRN: http://ssrn.com/abstract=1998036 or http://dx.doi.org/10.2139/ssrn.1998036

[17] Hsu, P.-H. & Kuan, C.-M. (2005). Reexamining the profitability of technical analysis with data snooping checks. Journal of Financial Econometrics, 3, 606–628.

[18] Hsu, P.-H., Hsu, Y.-C. & Kuan, C.-M. (2010). Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias. Journal of Empirical Finance, 17, 471–484.

[19] Irwin, S. H. & J. W. Uhrig. (1984). Do Technical Analysts Have Holes in Their Shoes? Review of Research in Futures Markets, 3, 264-277.

[20] Kannan, K. S., Sekar, P. S., Sathik, M. M. & Arumugam, P. (2010). Financial Stock Market Forecast using Data Mining Techniques. In Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS ’10), vol. 1, 555–559.

[21] Kirkpatrick II, C.D. & Dahlquist, J.R. (2006). Technical Analysis: The Complete Resource for Financial Market Technicians. New Jersey: Financial Times Press.

[22] Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by means of Natural Selection. Cambridge, Master Dissertation, MIT Press.

[23] Lo, A., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. Journal of Finance, 55, 1705-1765.

[24] Lohpetch, D. & Corne, D. (2009). Discovering Effective Technical Trading Rules with Genetic Programming: Towards Robustly Outperforming Buy-and-Hold. Nature & Biologically Inspired Computing, NaBIC 2009 World Congress.

[25] Lohpetch, D. & Corne, D. (2010). Outperforming Buy-and-Hold with Evolved Technical Trading Rules: Daily, Weekly and Monthly Trading. Applications of Evolutionary Computation, 6025, 171-181.

[26] Lu, J. (2009). The Relative Efficient Markets Hypothesis: Information Space and Refutable Models (September 9, 2009). Available at SSRN: http://ssrn.com/abstract=1129145 or http://dx.doi.org/10.2139/ssrn.1129145

[27] Malkiel, B.G. (2003). The Efficient Market Hypothesis and Its Critics. The Journal of Economic Perspectives, 17(1), 59-82.
[28] Menkhoff, L. (2010). The Use of Technical Analysis by Fund Managers: International Evidence. Journal of Banking and Finance, 34, 2573–2586.
[29] Modigliani, F. & Modigliani, L. (1997). Risk-Adjusted Performance. Journal of Portfolio Management, 23(2), 45–54.
[30] Neftci, S. N. (1991). Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of ‘Technical Analysis’. Journal of Business, 64, 549-571.

[31] Neftci, S. N. & Policano, A. J. (1984). Can Chartists Outperform the Market? Market Efficiency Tests for ‘Technical Analysis.’ Journal of Futures Markets, 4, 465-478.

[32] Olson, D. (2004). Have Trading Rule Profits in the Currency Markets Declined over Time? Journal of Banking and Finance, 28, 85-105.

[33] Papathanasiou, S. & Samitas A. (2010). Profits from Technical Trading Rules: The Case of Cyprus Stock Exchange. Journal of Money, Investment and Banking, 13, 35-43.

[34] Park, C-H & Irwin, S. H. (2007). What do we know about the profitability of Technical Analysis?. Journal of Economic Surveys, 21(4), 786-826.

[35] Pele, D.T. & Voineagu, V. (2008). Testing Market Efficiency via Decomposition of Stock Return. Application to Romanian Capital Market. Romanian Journal of Economic Forecasting, 5(3), 63-79.

[36] Romano, J. P. & Wolf, M. (2005). Stepwise multiple testing as formalized data snooping. Econometrica, 73, 1237–1282.

[37] Shiller, Robert J. (2003). From Efficient Markets Theory to Behavioral Finance. Journal of Economic Perspectives 17(1), 83-104.

[38] Sullivan, R., Timmermann, A., & White, H. (1999). Data Snooping, Technical Trading Rule Performance, and the Bootstrap. Journal of Finance, 54, 1647-1691.

[39] Taylor, M. P. & Allen, H. (1992). The use of technical analysis in the foreign exchange market. Journal of International Money and Finance, 11, 304 – 314.

[40] Taylor, S. J. (2000). Stock Index and Price Dynamics in the UK and the US: New Evidence from a Trading Rule and Statistical Analysis. European Journal of Finance, 6, 39-69.

[41] Timmermann, A. & Granger, C.W.J. (2004). Efficient market hypothesis and forecasting. International Journal of Forecasting, 20(1), 15-27.

[42] Todea, A. & Zoicaş-Ienciu, A. (2011). Technical Analysis and Stochastic Properties of Exchange Rate Movements: Empirical Evidence from the Romanian Currency Market. Romanian Journal of Economic Forecasting, 14(1), 175-192.

[43] White, H. (2000). A reality check for data snooping. Econometrica, 68, 1097-1126.

[44] Wong, W.-K., Manzur, M. & Chew, B.-K.(2010). How rewarding is technical analysis? Evidence from Singapore stock market. Applied Financial Economics, 13(7), 543-551.

[45] Zhu, Y. & Zhou, G. (2009). Technical analysis: An asset allocation perspective on the use of moving averages. Journal of Financial Economics, 92(3), 519-544.