New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic

Author:

Ahmadi Elham,Jasemi Milad,Monplaisir Leslie,Nabavi Mohammad Amin,Mahmoodi Armin,Amini Jam Pegah

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

1. A nonlinear autoregressive model with exogenous variables neural network for stock market timing: The candlestick technical analysis;Ahmadi;International Journal of Engineering,2016

2. Classification and prediction of stock market index based on fuzzy metagraph;Anbalagan;Procedia Computer Science,2015

3. Optimization of SVM multiclass by particle swarm (PSO-SVM);Ardjani;I.J.Modern Education and Computer Science,2010

4. Surveying stock market forecasting techniques–Part II: Soft computing methods;Atsalakis;Expert Systems with Applications,2009

5. Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick;Barak;Expert Systems with Applications,2015

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