SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Stock transaction prediction modeling and analysis based on LSTM
1 references·12 citing·44 second hop
Stock transaction prediction modeling and analysis based on LSTM (2018)Stock transaction prediction modeling and…Clustering of financial time series with application to index and enhanced index tracking portfolio (2005)Clustering of financial time …News-driven stock market index prediction based on trellis network and sentiment attention mechanism (2024)News-driven stock market inde…Stock Market Trends Analysis using Extreme Gradient Boosting (XGBoost) (2023)Stock Market Trends Analysis …Stock Market Analysis and Prediction Using LSTM: A Case Study on Technology Stocks (2023)Stock Market Analysis and Pre…Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs (2023)Real-time forecasting of time…Stock Price Prediction using LSTM (2022)Stock Price Prediction using …Stock Market Prediction using Bi-Directional LSTM (2021)Stock Market Prediction using…Research on a hybrid prediction model for stock price based on long short-term memory and variational mode decomposition (2021)Research on a hybrid predicti…Predicting LQ45 financial sector indices using RNN-LSTM (2021)Predicting LQ45 financial sec…Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches (2020)Sentiment-Driven Price Predic…A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD (2020)A Hybrid Prediction Method fo…Prediction of Satellite Time Series Data Based on Long Short Term Memory-Autoregressive Integrated Moving Average Model (LSTM-ARIMA) (2019)Prediction of Satellite Time …A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning (2019)A Novel Approach to Short-Ter…The Cross-Section of Expected Stock Returns (1992)Hierarchical structure in financial markets (1999)An evolutionary heuristic for the index tracking problem (2003)Sparse Portfolios for High-Dimensional Financial Index Tracking (2017)Prediction of Stock Price Based on LSTM Neural Network (2019)A Review of Two Decades of Correlations, Hierarchies, Networks and Clustering in Financial Markets (2021)Twitter mood predicts the stock market (2011)Stock Price Prediction Using the ARIMA Model (2014)Deep learning with long short-term memory networks for financial market predictions (2017)Multimodal Multi-Task Financial Risk Forecasting (2020)Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately (2022)Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network (2022)Time Series Analysis: Forecasting and Control (1977)Prophetic Analysis of Bitcoin price using Machine Learning Approaches (2021)Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions (2022)Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions (2024)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting (2020)An XGBoost-based multivariate deep learning framework for stock index futures price forecasting (2022)Decision Fusion for Stock Market Prediction: A Systematic Review (2022)Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions (2024)Predicting stock market index using fusion of machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)NSE Stock Market Prediction Using Deep-Learning Models (2018)Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches (2022)Stock price forecasting in Indonesia stock exchange using deep learning: a comparative study (2023)Time Series Analysis: Forecasting and Control. (1978)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Performance analysis of bitcoin forecasting using deep learning techniques (2023)A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities (2024)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)The Adjustment of Stock Prices to New Information (1969)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Predicting Economic Trends and Stock Market Prices with Deep Learning and Advanced Machine Learning Techniques (2024)Stock Price Prediction in the Financial Market Using Machine Learning Models (2024)Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)A multi-factor two-stage deep integration model for stock price prediction based on intelligent optimization and feature clustering (2022)MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)
this work references cited by second hop

References

  • 2005Clustering of financial time series with application to index and enhanced index tracking portfolio150 cited

Cited by

  • 2023Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs83 cited
  • 2019A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning73 cited
  • 2021Predicting LQ45 financial sector indices using RNN-LSTM72 cited
  • 2023Stock Market Analysis and Prediction Using LSTM: A Case Study on Technology Stocks68 cited
  • 2020Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches63 cited
  • 2020A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD50 cited
  • 2021Research on a hybrid prediction model for stock price based on long short-term memory and variational mode decomposition37 cited
  • 2024News-driven stock market index prediction based on trellis network and sentiment attention mechanism34 cited
  • 2023Stock Market Trends Analysis using Extreme Gradient Boosting (XGBoost)29 cited
  • 2019Prediction of Satellite Time Series Data Based on Long Short Term Memory-Autoregressive Integrated Moving Average Model (LSTM-ARIMA)29 cited
  • 2022Stock Price Prediction using LSTM29 cited
  • 2021Stock Market Prediction using Bi-Directional LSTM28 cited

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