Achelis, Steven B., (2001). Technical Analysis from A to Z, McGraw Hill, Inc., New York.
Bajalan, S., Eyvazlu, R. & Akbari, Guilda (2018). Pair Trading in Tehran Stock Exchange based on Smooth Transition GARCH Model, Iranian Journal of Finance, 2(2), 7-28. [In Persian]
Brock, W., Lakonishok, J., & LeBaron, B., (1992). Simple technical trading rules and the stochastic properties of stock returns, Journal of Finance, 47, 1731–1764
Charles, D., Kirkpatric, J., & Dahlquistk, A. (2016). Technical Analysis: The Complete Resource for Financial Market Technicians (3nd Ed.). Pearson Education.
Cheol-HO, P., & Scott, H. I. (2007). What Do You Know about the Profitability of Technical Analysis? Journal of Economic Surveys, 21, 786-826.
Edwards R. D., & Magee J., (1997). Technical analysis of stock trends (7th ed.). Chicago.
Ellis C.A., & Parbery S.A., (2005). Is smarter better? A comparison of adaptive, and, simple moving average trading strategies, Research in International Business and Finance, 19, 399–411
Engle, R.F., & Lilien, D.M., Robins, R.P., (1987). Estimating time varying risk premia in the term structure: The ARCH-M model. Econometrica 55, 391–408.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25, 383-417.
Frank,J.;Markowitz Harry,M.(2002).The Theory and Practice of Investment Management. John Wiley & Sons, Inc., Hoboken, New Jersey.
Gencay, R., (1997a). Linear, nonlinear and essential foreign exchange prediction. Journal of International Economics, forthcoming.
Gencay, R., (1997b). The predictability of security returns with technical trading rules. Journal of Empirical Finance, forthcoming.
Graham,B. & Dodd, D.L (1934). Security analysis, first edition, Mc-Graw Hill, New York.
Gunasekarage, A., & Power, D. M. (2001). The profitability of moving average trading rules in South Asian stock markets. Emerging Markets Review, 2, 17-33.
Jafari samimi, A. & Asghar Tabar Ledari, M. (2017). Optimization of moving averages in Tehran Stock Exchange using adaptive genetic algorithm, Scientific & Research Journals Management System, 25 (1), 127-148, [In Persian].
Jahankhani, A., & Abdoh Tabrizi, H., (1993). Efficient Capital Market Hypothesis. Financial Researches Journal, vol0(1), 7-23, [In Persian]
Kwon K., Kish R.J., (2002). A comparative study of technical trading strategies and return predictability: an extension of Brock, Lakonishok, and LeBaron (1992) using NYSE and NASDAQ indices, The Quarterly Review of Economics and Finance, 42, 611–631
Lo A.W., & Mamaysky H., Wang J., (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation, the Journal of Finance 4, 1705-1765.
Marshall B.R., Young M.R., & Rose L.C., (2005). Candlestick technical trading strategies: Can they create value for investors? Journal of Banking & Finance, In Press.
Masry, M., (2017). The impact of technical analysis on stock returns in an emerging capital markets (ECM’S) country:Theoretical and empirical study, international journal of economics and finance; Vol.9, No.3, 91-107.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York: New York Institute of Finance.
Murphy, J. J., (1991). Inter-market Technical Analysis, Wiley.
Nelson, D.B., (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica 59, 347–370.
Pesaran, M.H., Timmermann, A., 1992. A simple nonparametric test of predictive performance. Journal of Business and Economic Statistics 10, 461–465.
Pesaran, M.H., & Timmermann, A., (1994). Forecasting stock returns, an examination of stock market trading in the presence of transaction costs. Journal of Forecasting 13, 335–367.
Pesaran, M.H., & Timmermann, A., (1995). Predictability of stock returns: Robustness and economic significance. Journal of Finance 50, 1201–1228.
Peterson, I. D. (2006). The Relationship between Technical Analysis Generated Returns and the Fama and Frensh Risk Factors as Applied to Individual Securities (PhD thesis). The Florida State University.
Potvin J., Soriano P., & Vallee M., (2004). Generating trading rules on the stock markets with genetic programming, Computers & Operations Research, 31, 1033–1047
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, 1887-1905
Rezvani Aghdam, M & Pourzamani, Z. (2017). Compare the Efficiency of Technical Analysis Strategies with Buy and Hold Rule for the Stock Purchase in Bullish and Bearish periods. Financial Knowledge of Securities Analysis 10 (33), 17-31. [In Persian]
Rostami, M.R., Alipour P. and Behzadi, A. (2018). Analyzing the Causal Relations between Trading Volume and Stock Returns and between Trading Volume and Return Volatility in Tehran Stock Exchange, Iranian Journal of Finance, 2(4), 27-40. [In Persian]
Saleh Ardestani A & varzeshkar H. (2015). Study and comparison of Returns resulting from accessing share on base of fundamental and technical analysis in Tehran stock exchange, Management Research in Iran 19(2), 53-64. [In Persian]
Setayesh, M & Taghizadeh, T. (2007). Feasibility of Applying Technical Analysis Indicators to Predict the Stock Price Trend in Tehran Stock Exchange, Strategic Management Researches 42(1), 155-177. [In Persian]
Tehrani,R. & Esmaili, M.(2012). Reviewing the use of main technical indices on investor's short term return in Tehran Stock Exchange. Financial Knowledge of Securities Analysis13 (1), 21-33. [In Persian]