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Original Articles

Embedding technical analysis into neural network based trading systems

Pages 523-542 | Published online: 26 Nov 2010

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Konstandinos Chourmouziadis & Prodromos D. Chatzoglou. (2019) Intelligent Stock Portfolio Management Using a Long-Term Fuzzy System. Applied Artificial Intelligence 33:9, pages 775-795.
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Fouad Ben Abdelaziz, Mohamed Amer & Hazim El-Baz. (2014) An Epsilon Constraint Method for selecting Indicators for use in Neural Networks for Stock Market Forecasting. INFOR: Information Systems and Operational Research 52:3, pages 116-125.
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Articles from other publishers (16)

Jangmin OH. (2022) Short-Term Stock Price Prediction by Supervised Learning of Rapid Volume Decrease Patterns. IEICE Transactions on Information and Systems E105.D:8, pages 1431-1442.
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Konstandinos Chourmouziadis, Dimitra K. Chourmouziadou & Prodromos D. Chatzoglou. (2020) Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach. Computational Economics 57:4, pages 1183-1216.
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Vasana Chandrasekara, Chandima Tilakaratne & Musa Mammadov. (2019) An Improved Probabilistic Neural Network Model for Directional Prediction of a Stock Market Index. Applied Sciences 9:24, pages 5334.
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Xiaokang Qiu, Yuan Zuo & Guannan Liu. (2018) ETCF: An Ensemble Model for CTR Prediction. ETCF: An Ensemble Model for CTR Prediction.
Adam Atkins, Mahesan Niranjan & Enrico Gerding. (2018) Financial news predicts stock market volatility better than close price. The Journal of Finance and Data Science 4:2, pages 120-137.
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Samit Ahlawat. (2017) Empirical evaluation of price-based technical patterns using probabilistic neural networks. Algorithmic Finance 5:3-4, pages 49-68.
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Selva Staub, Emin Karaman, Seyit Kaya, Hatem Karapınar & Elçin Güven. (2015) Artificial Neural Network and Agility. Procedia - Social and Behavioral Sciences 195, pages 1477-1485.
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Mininder Sethi, Philip Treleaven & Sebastian Del Bano Rollin. (2014) Beating the S&P 500 index — A successful neural network approach. Beating the S&P 500 index — A successful neural network approach.
Li Meng & Yang Sun. (2013) Research on Automated Forex Trading System Based on BP Neural Network. Advanced Materials Research 753-755, pages 3080-3083.
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Alejandro Rodríguez-González, Ángel García-Crespo, Ricardo Colomo-Palacios, Fernando Guldrís Iglesias & Juan Miguel Gómez-Berbís. (2011) CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator. Expert Systems with Applications 38:9, pages 11489-11500.
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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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Jeff Schott & Jugal Kalita. (2011) Neuro-fuzzy time-series analysis of large-volume data. Intelligent Systems in Accounting, Finance and Management 18:1, pages 39-57.
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Thira Chavarnakul & David Enke. (2009) A hybrid stock trading system for intelligent technical analysis-based equivolume charting. Neurocomputing 72:16-18, pages 3517-3528.
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Jae Won Lee, Jonghun Park, Jangmin O, Jongwoo Lee & Euyseok Hong. (2007) A Multiagent Approach to <formula formulatype="inline"><tex>$Q$</tex></formula>-Learning for Daily Stock Trading. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 37:6, pages 864-877.
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Arit Thammano & Sirinda Palahan. (2006) Time-Series Forecasting Using Fuzzy-Neural System with Evolutionary Rule Base. Journal of Robotics and Mechatronics 18:5, pages 672-679.
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Suraphan Thawornwong & David Enke. (2004) The adaptive selection of financial and economic variables for use with artificial neural networks. Neurocomputing 56, pages 205-232.
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