SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Stock Price Prediction Method Based on BiLSTM and Improved Transformer
14 references·3 citing·50 second hop
A Stock Price Prediction Method Based on BiLSTM and Improved Transformer (2023)A Stock Price Prediction Method Based on …Transformer-based attention network for stock movement prediction (2022)Transformer-based attention n…Stock market index prediction using deep Transformer model (2022)Stock market index prediction…Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Stock Price Prediction Using …Stock Prediction Based on Optimized LSTM and GRU Models (2021)Stock Prediction Based on Opt…Stock price forecast based on combined model of ARI-MA-LS-SVM (2020)Stock price forecast based on…Optimizing LSTM for time series prediction in Indian stock market (2020)Optimizing LSTM for time seri…Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Hierarchical Multi-Scale Gaus…Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)Forecasting stock prices with…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…Stock price prediction based on deep neural networks (2019)Stock price prediction based …A Machine Learning Based Method for Customer Behavior Prediction (2019)A Machine Learning Based Meth…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersA feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)Deep learning for algorithmic…Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets (2024)Enhancing Stock Market Predic…A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Support vector machine with adaptive parameters in financial time series forecasting (2003)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)Predicting stock market index using LSTM (2022)Application of support vector machines in financial time series forecasting (2001)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Stock closing price prediction based on sentiment analysis and LSTM (2019)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Financial time series forecasting using independent component analysis and support vector regression (2009)Deep learning with long short-term memory networks for financial market predictions (2017)NSE Stock Market Prediction Using Deep-Learning Models (2018)Novel optimization approach for stock price forecasting using multi-layered sequential LSTM (2022)A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model (2023)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (2021)Stock market prediction using deep learning algorithms (2021)Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory (2023)A CNN–LSTM model for gold price time-series forecasting (2020)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)Stock Price Prediction Using the ARIMA Model (2014)Cryptocurrency trading: a comprehensive survey (2022)Machine learning techniques and data for stock market forecasting: A literature review (2022)The Behavior of Stock-Market Prices (1965)Fitting autoregressive models for prediction (1969)The Adjustment of Stock Prices to New Information (1969)Series decomposition Transformer with period-correlation for stock market index prediction (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)Deep Transformer-Based Asset Price and Direction Prediction (2024)The Sharpe Ratio (1994)2013 IEEE International Conference on Big Data (2013)Development of a Robust Stock Market Prediction Mechanism based on Enhanced Comprehensive Learning Principles (2023)Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)Data-driven stock forecasting models based on neural networks: A review (2024)
this work references cited by second hop

References

  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
  • 2019Stock price prediction based on deep neural networks378 cited
  • 2022Stock market index prediction using deep Transformer model371 cited
  • 2020Optimizing LSTM for time series prediction in Indian stock market367 cited
  • 2020Forecasting stock prices with long-short term memory neural network based on attention mechanism366 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2022Transformer-based attention network for stock movement prediction241 cited
  • 2020Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction231 cited
  • 2021Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models205 cited
  • 2021Stock Prediction Based on Optimized LSTM and GRU Models168 cited
  • 2020Stock price forecast based on combined model of ARI-MA-LS-SVM125 cited
  • 2019A Machine Learning Based Method for Customer Behavior Prediction77 cited

Cited by

  • 2024Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

48 cited
  • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited
  • 2025Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies39 cited