Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data
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Recent studies show the potential of using technical analysis in fully developed economies.
“The recent studies also show the potential of using TA in fully developed economies [22].”
From Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market (2023) · cites this paper as [22]
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Cites
EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*
Malkiel, B. G., & Fama, E. F. (1970) · The Journal of Finance · doi:10.1111/j.1540-6261.1970.tb00518.x · Cited by 15,733 · see citing works
Efficient capital markets: A review of theory and empirical work
Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635 · see citing works
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301 · see citing works
Patel, J., Shah, S., Thakkar, P., & Kotecha, K. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.07.040 · Cited by 1,141 · see citing works
Data-snooping, technical trading rule performance and the Bootstrap
Sullivan, R., Timmermann, A., & White, H. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00163 · Cited by 1,028 · cited 1× · see citing works
“Since the technique used was not available to investors during the sample period, we do not believe that such evidence would contradict weak-form market efficiency” (Sullivan et al., 1999).”
MethodUsing artificial neural network models in stock market index prediction
Güreşen, E., Kayakutlu, G., & Daim, T. U. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.02.068 · Cited by 788 · see citing works
WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS?
Park, C., & Irwin, S. H. (2007) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00519.x · Cited by 606 · see citing works
Efficient market hypothesis and forecasting
Timmermann, A., & Granger, C. W. J. (2004) · International Journal of Forecasting · doi:10.1016/s0169-2070(03)00012-8 · Cited by 517 · see citing works
Leigh, W. E., Purvis, R. L., & Ragusa, J. M. (2002) · Decision Support Systems · doi:10.1016/s0167-9236(01)00121-x · Cited by 277 · see citing works
(2001) · Medical Entomology and Zoology · Cited by 223 · see citing works
de Oliveira, F. A., Nobre, C. N., & Zárate, L. E. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.06.071 · Cited by 220 · see citing works
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
Bagheri, A., Peyhani, H. M., & Akbari, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.04.003 · Cited by 199 · see citing works
Dictionary of Finance and Investment Terms
Downes, J. M., & Goodman, J. E. (1985) · Cited by 172 · see citing works
Teixeira, L. A., & Oliveira, A. L. I. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.03.033 · Cited by 172 · see citing works
Expert system for predicting stock market timing using a candlestick chart
Lee, K. H., & Jo, G. (1999) · Expert Systems with Applications · doi:10.1016/s0957-4174(99)00011-1 · Cited by 168 · see citing works
Kao, L., Chiu, C., Lu, C.-J., & Chang, C. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.11.012 · Cited by 158 · see citing works
Automated trading with performance weighted random forests and seasonality
Booth, A., Gerding, E., & McGroarty, F. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.12.009 · Cited by 154 · see citing works
Stock market trading rule discovery using technical charting heuristics
Leigh, W. E., Modani, N. K., Purvis, R. L., & Roberts, T. (2002) · Expert Systems with Applications · doi:10.1016/s0957-4174(02)00034-9 · Cited by 131 · see citing works
Żbikowski, K. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.10.001 · Cited by 115 · see citing works
A SVM Stock Selection Model within PCA
Yu, H., Chen, R., & Zhang, G. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.05.284 · Cited by 106 · see citing works
A decision support system for stock investment recommendations using collective wisdom
Gottschlich, J., & Hinz, O. F. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.10.005 · Cited by 105 · see citing works
Stock market trading rule discovery using pattern recognition and technical analysis
Wang, J.-L., & Chan, S.-H. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.05.002 · Cited by 90 · see citing works
Stock trading rule discovery with an evolutionary trend following model
Hu, Y. Q., Feng, B., Zhang, X., Ngai, E. W. T., & Liu, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.07.059 · Cited by 70 · see citing works
A hybrid approach to portfolio composition based on fundamental and technical indicators
Silva, A., Neves, R. F., & Horta, N. C. G. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.09.050 · Cited by 61 · see citing works
Leigh, W. E., Modani, N. K., & Hightower, R. (2003) · Decision Support Systems · doi:10.1016/s0167-9236(03)00084-8 · Cited by 61 · see citing works
Liao, S.-H., & Chou, S.-Y. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.075 · Cited by 53 · see citing works
Market timing: a test of a charting heuristic
Leigh, W. E., Paz, N. M., & Purvis, R. L. (2002) · Economics Letters · doi:10.1016/s0165-1765(02)00110-6 · Cited by 52 · see citing works
A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes
Dymova, L., Sevastianov, P., & Kaczmarek, K. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.077 · Cited by 45 · see citing works
A hybrid stock trading system using genetic network programming and mean conditional value-at-risk
Chen, Y., & Wang, X. (2014) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.07.034 · Cited by 41 · see citing works
Trading rule discovery in the US stock market: An empirical study
Wang, J.-L., & Chan, S.-H. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.06.119 · Cited by 39 · see citing works
Zapranis, A. D., & Tsinaslanidis, P. E. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.11.079 · Cited by 34 · see citing works
Come Into My Trading Room: A Complete Guide to Trading
Elder, A. (2002) · Cited by 28 · see citing works
Ng, W. W. Y., Liang, X.-L., Li, J., Yeung, D., & Chan, P. P. K. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.04.066 · Cited by 26 · see citing works
Flagged first, then by citations
Research works printed but not linked: 8
- Alexander, S. (1961). Price movement in speculative markets: trends or random walks. In P. Cootner (Eds.), The random character of stock market prices (pp. 199-218). Cambridge, Mass: MIT Press.
- Hansen, P. (2005). A test for superior predictive ability. Journal of Business and Economic Statistics, 23(4), 365-380.
- Jensen, M., Bennington, G. (1970). Random walks and technical theories: some additional evidences. Journal of Finance, 25(2), 469-482.
- Lo, A., Mamaysky, H., Wang, J. (2000). Foundations of technical analysis: computational algorithms, statistical inference, and empirical implementation. Journal of Finance, 55(4), 1705-1770.
- Marshall, B., Cahan, R., Cahan, J. (2008) Does intraday technical analysis in the US equity market have value? Journal of Empirical Finance, 15, 199-210.
- Neftci, S. (1991). Naive trading rules in financial markets and Weiner-Kolmogorov prediction theory: a study of technical analysis. Journal of Business, 64(4), 549-571.
- Ratner, M., Leal, R. (1999). Test of technical trading strategies in the emerging equity markets of Latin America and Asia. Journal of Banking and Finance, 23(12), 1887-1905.
- White, H. (2000). A reality check for data snooping. Econometrica, 68(5), 1097-1126.
Cited by
Sorted by citations
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Cagliero, L., Fior, J., & Garza, P. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119493 · Cited by 46 · see citing works
Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market
Zatwarnicki, M., Zatwarnicki, K., & Stolarski, P. (2023) · Sensors · doi:10.3390/s23031664 · Cited by 22 · see citing works
- Authors
- Cervelló-Royo, R., Guijarro, F., & Michniuk, K.
- Affiliations
- Universitat Politècnica de València (ES)
- Corresponding author
- Guijarro, Francisco
- ORCID
- Guijarro, Francisco
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 42
- Issue
- 14
- Pages
- 5963-5975
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2074250525
- Cited by
- 186
- References
- 33
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 13 · 2023: 14 · 2022: 16 · 2021: 25 · 2020: 28 · 2019: 19 · 2018: 19 · 2017: 21 · 2016: 13 · 2015: 5
- FWCI
- 37.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Expert Systems with Applications (publishedVersion)
- RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Business, Management and Accounting › Accounting › Financial Analysis and Corporate Governance
- Keywords
- trading rules, technical analysis, Dow Jones Industrial Average, intraday data, efficient market hypothesis, market efficiency, risk-adjusted returns, DAX, FTSE, stock market prediction, pattern recognition
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