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Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks
16 references·0 citing·38 second hop
Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks (2020)Assess deep learning models for Egyptian …Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Stock price prediction based on deep neural networks (2019)Stock price prediction based …Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)ModAugNet: A new forecasting …An innovative neural network approach for stock market prediction (2018)An innovative neural network …Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Stock market index prediction using artificial neural network (2016)Stock market index prediction…Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…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…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…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)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Generalized autoregressive conditional heteroskedasticity (1986)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Evaluating multiple classifiers for stock price direction prediction (2015)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)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)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Enhancing Stock Movement Prediction with Adversarial Training (2019)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Optimizing LSTM for time series prediction in Indian stock market (2020)Stock price prediction using deep learning and frequency decomposition (2020)Textual analysis of stock market prediction using breaking financial news (2009)Wikidata (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Transformer-based attention network for stock movement prediction (2022)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
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  • 2016Forecasting daily stock market return using dimensionality reduction395 cited

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  • 2019Stock price prediction based on deep neural networks378 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
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