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PREDICTING NEXT TRADING DAY CLOSING PRICE OF QATAR EXCHANGE INDEX USING TECHNICAL INDICATORS AND ARTIFICIAL NEURAL NETWORKS
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PREDICTING NEXT TRADING DAY CLOSING PRICE OF QATAR EXCHANGE INDEX USING TECHNICAL INDICATORS AND ARTIFICIAL NEURAL NETWORKS (2014)PREDICTING NEXT TRADING DAY CLOSING PRICE…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…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…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)An Adaptive Network-Based Fuz…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Forecasting stock indices: a comparison of classification and level estimation models (2000)Forecasting stock indices: a …A case study on using neural networks to perform technical forecasting of forex (2000)A case study on using neural …Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…ChatGPT’s crystal ring: simulating auditors’ use of machine learning in stock price prediction (2024)ChatGPT’s crystal ring: simul…Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Time Series Analysis: Forecasting and Control (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)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 image conversion approach (2018)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with fuzzy time series — part II (1994)The application of neural networks to forecast fuzzy time series (2005)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Neural network credit scoring models (2000)Deep learning for financial applications : A survey (2020)Stock market movement forecast: A Systematic review (2020)Artificial intelligence and machine learning in finance: A bibliometric review (2022)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Natural language based financial forecasting: a survey (2017)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)NSE Stock Market Prediction Using Deep-Learning Models (2018)
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References

  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2000Forecasting stock indices: a comparison of classification and level estimation models428 cited
  • 2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited

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  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 2000A case study on using neural networks to perform technical forecasting of forex398 cited
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    • 2024ChatGPT’s crystal ring: simulating auditors’ use of machine learning in stock price prediction4 cited