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Original Articles

The predictive power of price patterns

Pages 181-205 | Published online: 14 Oct 2010

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Tsung-Hsun Lu & Yung-Ming Shiu. (2016) Can 1-day candlestick patterns be profitable on the 30 component stocks of the DJIA?. Applied Economics 48:35, pages 3345-3354.
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Olivier Brandouy, Jean-Paul Delahaye & Lin Ma. (2014) A computational definition of financial randomness. Quantitative Finance 14:5, pages 761-770.
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Tsung-Hsun Lu & Yung-Ming Shiu. (2012) Tests for Two-Day Candlestick Patterns in the Emerging Equity Market of Taiwan. Emerging Markets Finance and Trade 48:sup1, pages 41-57.
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Ahmet Duran & Michael J. Bommarito. (2011) A profitable trading and risk management strategy despite transaction costs. Quantitative Finance 11:6, pages 829-848.
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Ahmet Duran & Gunduz Caginalp. (2008) Parameter optimization for differential equations in asset price forecasting. Optimization Methods and Software 23:4, pages 551-574.
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Vincent Wing-Shing Lam, Terence Tai-Leung Chong & Wing-Keung Wong. (2007) Profitability of intraday and interday momentum strategies. Applied Economics Letters 14:15, pages 1103-1108.
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Wenyang Huang, Tianxiao Gao, Yun Hao & Xiuqing Wang. (2023) Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices. Energy Economics 127, pages 107106.
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Gil Cohen. (2023) Technical Analysis in Investing. Review of Pacific Basin Financial Markets and Policies 26:02.
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Isaac Tonkin, Adrian Gepp, Geoff Harris & Bruce Vanstone. (2022) Adapting deep learning models between regional markets. Neural Computing and Applications 35:2, pages 1483-1492.
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Habeeba Tabassum Shaik, B. Sunil Kumar & Bhasha Pydala. 2023. Innovations in Bio-Inspired Computing and Applications. Innovations in Bio-Inspired Computing and Applications 466 475 .
Yi Liang & James Unwin. (2022) COVID-19 forecasts via stock market indicators. Scientific Reports 12:1.
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Patrick Eugster & Matthias W. Uhl. (2022) Technical analysis: Novel insights on contrarian trading. European Financial Management.
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Shangkun Deng, Zhihao Su, Yanmei Ren, Haoran Yu, Yingke Zhu & Chenyang Wei. (2022) Can Japanese Candlestick Patterns be Profitable on the Component Stocks of the SSE50 Index?. SAGE Open 12:3, pages 215824402211178.
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Shangkun Deng, Yingke Zhu, Xiaoru Huang, Shuangyang Duan & Zhe Fu. (2022) High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method. Future Internet 14:6, pages 180.
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Robert Jarusek, Eva Volna & Martin Kotyrba. (2022) FOREX rate prediction improved by Elliott waves patterns based on neural networks. Neural Networks 145, pages 342-355.
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Kin-Hon Ho, Tse-Tin Chan, Haoyuan Pan & Chin Li. (2021) Do Candlestick Patterns Work in Cryptocurrency Trading?. Do Candlestick Patterns Work in Cryptocurrency Trading?.
Carla L.G. Fonseca, Charlene C. de Resende, Danilo H.C. Fernandes, Rodrigo T.N. Cardoso & A.R. Bosco de Magalhães. (2021) Is the choice of the candlestick dimension relevant in econophysics?. Physica A: Statistical Mechanics and its Applications 582, pages 126233.
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Shangkun Deng, Xiaoru Huang, Zhaohui Qin, Zhe Fu & Tianxiang Yang. (2021) A novel hybrid method for direction forecasting and trading of Apple Futures. Applied Soft Computing 110, pages 107734.
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Gil Cohen. (2021) Optimizing candlesticks patterns for Bitcoin's trading systems. Review of Quantitative Finance and Accounting 57:3, pages 1155-1167.
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Mi-Hsiu Chiang, Hsin-Yu Chiu & Wei-Yu Kuo. (2021) Predictive ability of similarity-based futures trading strategies. Pacific-Basin Finance Journal 68, pages 101616.
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Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu & Bingbing Jiang. (2021) Improving stock trading decisions based on pattern recognition using machine learning technology. PLOS ONE 16:8, pages e0255558.
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Yaohu Lin, Shancun Liu, Haijun Yang & Harris Wu. (2021) Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme. IEEE Access 9, pages 101433-101446.
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JuHyok U, PengYu Lu, ChungSong Kim, UnSok Ryu & KyongSok Pak. (2020) A new LSTM based reversal point prediction method using upward/downward reversal point feature sets. Chaos, Solitons & Fractals 132, pages 109559.
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Гарик Адамян. (2020) Forecasting the trend reversal with the pattern recognition methods on the example of RTS index. Управление финансовыми рисками Financial Risk Management 3, pages 178-188.
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Yaohu Lin, Shancun Liu, Haijun Yang & Harris Wu. 2020. Decision Economics: Complexity of Decisions and Decisions for Complexity. Decision Economics: Complexity of Decisions and Decisions for Complexity 61 69 .
Khalid ABOULOULA, Ali OU-YASSINE, Salah-ddine KRIT & Mohamed ELHOSENY. (2019) Lower the loss ratio when using a Fibonacci Indicator Retracement to Restore Accuracy by Avoiding Wrong Forecasts using enhanced indicators. Lower the loss ratio when using a Fibonacci Indicator Retracement to Restore Accuracy by Avoiding Wrong Forecasts using enhanced indicators.
Yoshihisa Udagawa. (2018) Predicting Stock Price Trend Using Candlestick Chart Blending Technique. Predicting Stock Price Trend Using Candlestick Chart Blending Technique.
Yoshihisa Udagawa. (2018) Predicting Stock Price Trend Using Candlestick Chart Blending Technique. Predicting Stock Price Trend Using Candlestick Chart Blending Technique.
Mattias Wahde. 2018. Intelligent Systems and Applications. Intelligent Systems and Applications 1 14 .
Mattias Wahde. 2018. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 16 32 .
Nikitas Goumatianos, Ioannis T. Christou, Peter Lindgren & Ramjee Prasad. (2017) An algorithmic framework for frequent intraday pattern recognition and exploitation in forex market. Knowledge and Information Systems 53:3, pages 767-804.
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Piyapas Tharavanij, Vasan Siraprapasiri & Kittichai Rajchamaha. (2017) Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand. SAGE Open 7:4, pages 215824401773679.
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Yang An & Ngai Hang Chan. (2017) Short-Term Stock Price Prediction Based on Limit Order Book Dynamics. Journal of Forecasting 36:5, pages 541-556.
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Lv Tao, Yongtao Hao, Hao Yijie & Shen Chunfeng. (2017) K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering. Mathematical Problems in Engineering 2017, pages 1-11.
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Chee-Ling Chin, Mohamad Jais, Sophee Sulong Balia & Michael Tinggi. (2017) Is candlestick continuation patterns applicable in Malaysian stock market?. SHS Web of Conferences 34, pages 07009.
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Tao Lv & Yongtao Hao. 2017. Data Science. Data Science 73 87 .
Shi Chen, Si Bao & Yu Zhou. (2016) The predictive power of Japanese candlestick charting in Chinese stock market. Physica A: Statistical Mechanics and its Applications 457, pages 148-165.
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Min Zhu, Said Atri & Eyub Yegen. (2016) Are candlestick trading strategies effective in certain stocks with distinct features?. Pacific-Basin Finance Journal 37, pages 116-127.
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Juszczuk Przemyslaw, Kozak Jan & Trynda Katarzyna. 2016. Intelligent Decision Technologies 2016. Intelligent Decision Technologies 2016 127 138 .
Timothy Little, Xiao-Ping Zhang & Fang Wang. (2015) State switching in US equity index returns based on SETAR model with Kalman filter tracking. State switching in US equity index returns based on SETAR model with Kalman filter tracking.
Tsung-Hsun Lu, Yi-Chi Chen & Yu-Chin Hsu. (2015) Trend definition or holding strategy: What determines the profitability of candlestick charting?. Journal of Banking & Finance 61, pages 172-183.
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Nikitas Goumatianos, Ioannis Christou & Peter Lindgren. 2015. Artificial Intelligence Perspectives and Applications. Artificial Intelligence Perspectives and Applications 247 256 .
Prodromos E. Tsinaslanidis & Dimitris Kugiumtzis. (2014) A prediction scheme using perceptually important points and dynamic time warping. Expert Systems with Applications 41:15, pages 6848-6860.
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Patrick Uhr, Johannes Zenkert & Madjid Fathi. (2014) Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports. Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports.
Devavrat Shah & Kang Zhang. (2014) Bayesian regression and Bitcoin. Bayesian regression and Bitcoin.
Anindya Chakrabarty, Anupam De & Rameshwar Dubey. (2014) A Flexible Approach Towards Multi-frequency Re-engineering of the Moving Average Convergence Divergence Indicator. Global Journal of Flexible Systems Management 15:3, pages 219-234.
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Chih-Fong Tsai & Zen-Yu Quan. (2014) Stock Prediction by Searching for Similarities in Candlestick Charts. ACM Transactions on Management Information Systems 5:2, pages 1-21.
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Tsung-Hsun Lu. (2014) The profitability of candlestick charting in the Taiwan stock market. Pacific-Basin Finance Journal 26, pages 65-78.
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Weihong Huang & Wanying Wang. 2014. Handbook of Asian Finance. Handbook of Asian Finance 171 184 .
Zen-Yu Quan. (2013) Stock prediction by searching similar candlestick charts. Stock prediction by searching similar candlestick charts.
Nikitas Goumatianos, Ioannis Christou & Peter Lindgren. (2013) Stock Selection System: Building Long/Short Portfolios Using Intraday Patterns. Procedia Economics and Finance 5, pages 298-307.
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Tsung‐Hsun Lu, Yung‐Ming Shiu & Tsung‐Chi Liu. (2012) Profitable candlestick trading strategies—The evidence from a new perspective. Review of Financial Economics 21:2, pages 63-68.
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Hongbing Ouyang. (2011) The information content of high, low and close prices. The information content of high, low and close prices.
Milad Jasemi, Ali M. Kimiagari & A. Memariani. (2011) A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick. Expert Systems with Applications 38:4, pages 3884-3890.
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Yan Chen, Shingo Mabu & Kotaro Hirasawa. (2010) A model of portfolio optimization using time adapting genetic network programming. Computers & Operations Research 37:10, pages 1697-1707.
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Xiaoming Wang, Martin D. Sykora, Robert Archer, David Parish & Helmut E. Bez. (2009) Case based reasoning approach for transaction outcomes prediction on currency markets. Case based reasoning approach for transaction outcomes prediction on currency markets.
Myeong-gu Seo & Remus Ilies. (2009) The role of self-efficacy, goal, and affect in dynamic motivational self-regulation. Organizational Behavior and Human Decision Processes 109:2, pages 120-133.
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Marshall J. Horton. (2009) Stars, crows, and doji: The use of candlesticks in stock selection. The Quarterly Review of Economics and Finance 49:2, pages 283-294.
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Cheol-Ho Park & Scott H. Irwin. (2007) WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS?. Journal of Economic Surveys 21:4, pages 786-826.
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