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Stock price nowcasting and forecasting with deep learning
16 references·0 citing·46 second hopsampled
Stock price nowcasting and forecasting with deep learning (2024)Stock price nowcasting and forecasting wi…Survey of feature selection and extraction techniques for stock market prediction (2023)Survey of feature selection a…Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model (2023)Prediction of Complex Stock M…A high-frequency trading volume prediction model using neural networks (2023)A high-frequency trading volu…A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)A Survey of Forex and Stock P…Stock price forecasting model based on modified convolution neural network and financial time series analysis (2019)Stock price forecasting model…Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Forecasting stock prices with…AT-LSTM: An Attention-based LSTM Model for Financial Time Series Prediction (2019)AT-LSTM: An Attention-based L…Time series forecasting using artificial neural networks methodologies: A systematic review (2018)Time series forecasting using…Hybrid Deep Learning Model for Stock Price Prediction (2018)Hybrid Deep Learning Model fo…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX (2013)A hybrid model based on ANFIS…A complex systems approach to constructing better models for managing financial markets and the economy (2012)A complex systems approach to…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)A systematic review of fundamental and technical analysis of stock market predictions (2019)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Time Series Analysis Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Time Series Analysis: Forecasting and Control. (1978)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)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM (2022)A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems (2024)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Cross-Section of Expected Stock Returns (1992)Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions (2020)Stock price prediction using deep learning and frequency decomposition (2020)Long-term dependence in common stock returns (1977)Intraday periodicity and volatility persistence in financial markets (1997)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM (2020)Forecasting Agricultural Commodity Prices Using Dual Input Attention LSTM (2022)Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models (2023)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm (2023)Random Walks in Stock Market Prices (1995)The Efficient Market Hypothesis and Its Critics (2003)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting (2023)Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction (2024)Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis (2024)
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References

  • 2014Stock Price Prediction Using the ARIMA Model1,169 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,019 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies854 cited
  • 2018Time series forecasting using artificial neural networks methodologies: A systematic review494 cited
  • 2021A Survey of Forex and Stock Price Prediction Using Deep Learning432 cited
  • 2011Stock index forecasting based on a hybrid model394 cited
  • 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data357 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)307 cited
  • 2023Survey of feature selection and extraction techniques for stock market prediction237 cited
  • 2019AT-LSTM: An Attention-based LSTM Model for Financial Time Series Prediction184 cited
  • 2012A complex systems approach to constructing better models for managing financial markets and the economy161 cited
  • 2018Hybrid Deep Learning Model for Stock Price Prediction136 cited
  • 2023Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model133 cited
  • 2019Stock price forecasting model based on modified convolution neural network and financial time series analysis

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120 cited
  • 2023A high-frequency trading volume prediction model using neural networks95 cited
  • 2013A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX75 cited
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