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Intelligent stock trading system based on improved technical analysis and Echo State Network
4 references·11 citing·49 second hop
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References

  • 1994Fractal Market Analysis: Applying Chaos Theory to Investment and Economics983 cited
  • 2005Encyclopedia of information science and technology276 cited
  • 2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
  • 2005An evolutionary approach to the combination of multiple classifiers to predict a stock price index121 cited

Cited by

  • 2021Time series forecasting based on echo state network and empirical wavelet transformation93 cited
  • 2019Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends86 cited
  • 2020Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction82 cited
  • 2022Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection78 cited
  • 2015Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick65 cited
  • 2018Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding54 cited
  • 2019Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach54 cited
  • 2025Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review45 cited
  • 2025A Hybrid LSTM-GRU Model for Stock Price Prediction

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45 cited
  • 2014Biclustering Learning of Trading Rules44 cited
  • 2020Machine learning applied in the stock market through the Moving Average Convergence Divergence (MACD) indicator36 cited