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Predicting Close Price in Emerging Saudi Stock Exchange: Time Series Models
16 references·0 citing·43 second hop
Predicting Close Price in Emerging Saudi Stock Exchange: Time Series Models (2022)Predicting Close Price in Emerging Saudi …Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning (2022)Stock Market Prediction Using…Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms (2022)Framework for Predicting and …Forecasting directional movements of stock prices for intraday trading using LSTM and random forests (2022)Forecasting directional movem…Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)Stock Market Prediction Using…Stock Market Prediction Using Optimized Deep-ConvLSTM Model (2020)Stock Market Prediction Using…Augmented Textual Features-Based Stock Market Prediction (2020)Augmented Textual Features-Ba…An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market (2020)An integrated framework of de…Stock Market Trend Prediction Using High-Order Information of Time Series (2019)Stock Market Trend Prediction…Predicting the daily return direction of the stock market using hybrid machine learning algorithms (2019)Predicting the daily return d…Is Deep Learning for Image Recognition Applicable to Stock Market Prediction? (2019)Is Deep Learning for Image Re…Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)Genetic algorithm-optimized m…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis (2017)Predicting Stock Market Behav…Predictive Sentiment Analysis of Tweets: A Stock Market Application (2013)Predictive Sentiment Analysis…Stock market prediction with multiple classifiers (2006)Stock market prediction with …The Behavior of Stock-Market Prices (1965)Fractional Brownian Motions, Fractional Noises and Applications (1968)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)Sentiment analysis on social media for stock movement prediction (2015)Forecasting Intraday stock price trends with text mining techniques (2004)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)Evaluating multiple classifiers for stock price direction prediction (2015)Forecasting daily stock market return using dimensionality reduction (2016)Predicting the Price of Bitcoin Using Machine Learning (2018)Deep Learning for Stock Market Prediction (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Deep learning with long short-term memory networks for financial market predictions (2017)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)PORTFOLIO SELECTION* (1952)Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy? (2007)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A CNN-BiLSTM-AM method for stock price prediction (2020)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)2013 IEEE International Conference on Big Data (2013)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies (2022)Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting (2024)Random Walks in Stock Market Prices (1995)Using artificial neural network models in stock market index prediction (2011)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges (2023)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models (2023)
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References

  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables671 cited
  • 2018An innovative neural network approach for stock market prediction501 cited
  • 2021Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions329 cited
  • 2019Predicting the daily return direction of the stock market using hybrid machine learning algorithms276 cited
  • 2020An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market267 cited
  • 2006Stock market prediction with multiple classifiers239 cited
  • 2019Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction204 cited
  • 2019Stock Market Trend Prediction Using High-Order Information of Time Series191 cited
  • 2022Forecasting directional movements of stock prices for intraday trading using LSTM and random forests187 cited
  • 2017Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis169 cited
  • 2013Predictive Sentiment Analysis of Tweets: A Stock Market Application133 cited
  • 2020Stock Market Prediction Using Optimized Deep-ConvLSTM Model124 cited
  • 2019Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?116 cited
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Augmented Textual Features-Based Stock Market Prediction
105 cited
  • 2022Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms104 cited
  • 2022Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning88 cited
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