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LSTM Model Optimization on Stock Price Forecasting
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LSTM Model Optimization on Stock Price Forecasting (2018)LSTM Model Optimization on Stock Price Fo…A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (2017)A Deep Reinforcement Learning…Dividend yields and expected stock returns (1988)Dividend yields and expected …A survey on uncertainty quantification in deep learning for financial time series prediction (2024)A survey on uncertainty quant…Stock Market Trends Analysis using Extreme Gradient Boosting (XGBoost) (2023)Stock Market Trends Analysis …A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis (2022)A cooperative deep learning m…Forecast of LSTM-XGBoost in Stock Price Based on Bayesian Optimization (2021)Forecast of LSTM-XGBoost in S…Prediction of Short-term Stock Prices Based on EMD-LSTM-CSI Neural Network Method (2020)Prediction of Short-term Stoc…Optimizing LSTM Based Network For Forecasting Stock Market (2020)Optimizing LSTM Based Network…The General Theory of Employment, Interest and Money. (1936)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Noise Trader Risk in Financial Markets (1990)Efficient Capital Markets: II (1991)Common risk factors in the returns on stocks and bonds (1993)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Forecasting seasonals and trends by exponentially weighted moving averages (2004)Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach (2020)Deep learning for financial applications : A survey (2020)Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States (2020)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Stock price prediction using deep learning and frequency decomposition (2020)Intelligent Asset Allocation using Predictions of Deep Frequency Decomposition (2021)Stock price nowcasting and forecasting with deep learning (2024)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Prediction of Stock Market Index Using a Hybrid Technique of Artificial Neural Networks and Particle Swarm Optimization (2021)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid TCN-XGBoost model for agricultural product market price forecasting (2025)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Aleatory or epistemic? Does it matter? (2008)A Bayesian regularized artificial neural network for stock market forecasting (2013)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)Survey of stock market prediction using machine learning approach (2017)Deep Learning-Based Stock Price Prediction Using LSTM and Bi-Directional LSTM Model (2020)Stock Price prediction using LSTM and SVR (2020)
this work references cited by second hop

References

  • 1988Dividend yields and expected stock returns3,574 cited
  • 2017A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem310 cited

Cited by

  • 2024A survey on uncertainty quantification in deep learning for financial time series prediction47 cited
  • 2021Forecast of LSTM-XGBoost in Stock Price Based on Bayesian Optimization45 cited
  • 2020Optimizing LSTM Based Network For Forecasting Stock Market42 cited
  • 2023Stock Market Trends Analysis using Extreme Gradient Boosting (XGBoost)29 cited
  • 2020Prediction of Short-term Stock Prices Based on EMD-LSTM-CSI Neural Network Method27 cited
  • 2022A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis26 cited

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