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Stock price forecasting using PSO hypertuned neural nets and ensembling
16 references·0 citing·45 second hopsampled
Stock price forecasting using PSO hypertuned neural nets and ensembling (2023)Stock price forecasting using PSO hypertu…Stock Prediction Based on Optimized LSTM and GRU Models (2021)Stock Prediction Based on Opt…A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)A novel ensemble deep learnin…Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane (2020)Predicting stock price trends…Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Modeling the Stock Relation w…Universal features of price formation in financial markets: perspectives from deep learning (2019)Universal features of price f…Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock Market Analysis: A Revi…N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)N-BEATS: Neural basis expansi…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction (2017)Wavelet Neural Network Predic…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Stock trend prediction based on fractal feature selection and support vector machine (2010)Stock trend prediction based …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…Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30 (2008)Technical analysis and the Lo…Stock market forecasting using hidden Markov model: a new approach (2005)Stock market forecasting usin…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…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)Applications of deep learning in stock market prediction: Recent progress (2021)Business research methods (1978)Stock market prediction system with modular neural networks (1990)Technical analysis of stock trends (1997)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Financial Forecasting Using Support Vector Machines (2001)A fusion model of HMM, ANN and GA for stock market forecasting (2006)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A Random Walk Down Wall Street (1973)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)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)PORTFOLIO SELECTION* (1952)Price Momentum and Trading Volume (2000)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Another look at measures of forecast accuracy (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Twitter mood predicts the stock market (2011)Machine learning techniques and data for stock market forecasting: A literature review (2022)Empirical properties of asset returns: stylized facts and statistical issues (2001)Empirical Market Microstructure (2007)A Stochastic Model for Order Book Dynamics (2010)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Cryptocurrency trading: a comprehensive survey (2022)Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Deep learning for stock prediction using numerical and textual information (2016)A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model (2023)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)
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References

  • 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecasting1,149 cited
  • 2017Stock market's price movement prediction with LSTM neural networks986 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange892 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2019Stock Market Analysis: A Review and Taxonomy of Prediction Techniques508 cited
  • 2018An innovative neural network approach for stock market prediction501 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction500 cited
  • 2005Stock market forecasting using hidden Markov model: a new approach382 cited
  • 2019Universal features of price formation in financial markets: perspectives from deep learning292 cited
  • 2021A novel ensemble deep learning model for stock prediction based on stock prices and news247 cited
  • 2008Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30220 cited
  • 2020Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction186 cited
  • 2021Stock Prediction Based on Optimized LSTM and GRU Models168 cited
  • 2010

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Stock trend prediction based on fractal feature selection and support vector machine
121 cited
  • 2017Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction109 cited
  • 2020Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane96 cited
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