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A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
7 references·16 citing·53 second hop
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters (2017)A Deep Neural-Network Based Stock Trading…A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)A hybrid evolutionary dynamic…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…Forecasting model of global stock index by stochastic time effective neural network (2009)Forecasting model of global s…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…A Hybrid Neurogenetic Approach for Stock Forecasting (2007)A Hybrid Neurogenetic Approac…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Financial asset price prediction with graph neural network-based temporal deep learning models (2025)Financial asset price predict…Deep Transformer-Based Asset Price and Direction Prediction (2024)Deep Transformer-Based Asset …Artificial intelligence techniques in financial trading: A systematic literature review (2024)Artificial intelligence techn…A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting (2024)A Deep Learning Based Expert …Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach (2023)Using Social Network Sentimen…Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market (2023)Improving Stock Market Predic…An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction (2022)An Intelligent Fusion Model w…A Review on Machine 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Stock Daily Trading Strategy (2019)An Empirical Study of Machine…An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model (2019)An Effective Time Series Anal…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting daily stock market return using dimensionality reduction (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to 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(1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Modern Portfolio Theory and Investment Analysis. 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References

  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2007A Hybrid Neurogenetic Approach for Stock Forecasting175 cited
  • 2009Forecasting model of global stock index by stochastic time effective neural network151 cited
  • 2014A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter120 cited

Cited by

  • 2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019112 cited
  • 2020Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network90 cited
  • 2022A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting77 cited
  • 2024Artificial intelligence techniques in financial trading: A systematic literature review73 cited
  • 2024Deep Transformer-Based Asset Price and Direction Prediction68 cited
  • 2019An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy66 cited
  • 2021

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Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric
65 cited
  • 2019An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market64 cited
  • 2024A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting44 cited
  • 2023Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach38 cited
  • 2025Financial asset price prediction with graph neural network-based temporal deep learning models34 cited
  • 2021Survey on the application of deep learning in algorithmic trading32 cited
  • 2019An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model29 cited
  • 2023Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market28 cited
  • 2022A Review on Machine Learning for Asset Management27 cited
  • 2022An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction27 cited