A hybrid stock trading framework integrating technical analysis with machine learning techniques
Open Access
- 1 March 2016
- journal article
- Published by Elsevier BV in The Journal of Finance and Data Science
- Vol. 2 (1), 42-57
- https://doi.org/10.1016/j.jfds.2016.03.002
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Comparative study of stock market forecasting using different functional link artificial neural networksInternational Journal of Data Analysis Techniques and Strategies, 2012
- CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicatorExpert Systems with Applications, 2011
- A dynamic threshold decision system for stock trading signal detectionApplied Soft Computing, 2011
- Extreme learning machines: a surveyInternational Journal of Machine Learning and Cybernetics, 2011
- Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock ExchangeExpert Systems with Applications, 2011
- A method for automatic stock trading combining technical analysis and nearest neighbor classificationExpert Systems with Applications, 2010
- Automatic stock decision support system based on box theory and SVM algorithmExpert Systems with Applications, 2010
- A neural network with a case based dynamic window for stock trading predictionExpert Systems with Applications, 2009
- A Multiagent Approach to $Q$-Learning for Daily Stock TradingIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2007
- An effective application of decision tree to stock tradingExpert Systems with Applications, 2006