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Predicting stock market using natural language processing
14 references·1 citing·48 second hop
Predicting stock market using natural language processing (2023)Predicting stock market using natural lan…Using Financial News Sentiment for Stock Price Direction Prediction (2022)Using Financial News Sentimen…Stock Price Prediction Using Sentiment Analysis (2021)Stock Price Prediction Using …Stock price prediction using BERT and GAN (2021)Stock price prediction using …Stock Price Prediction Based on LSTM Deep Learning Model (2021)Stock Price Prediction Based …Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments (2021)Combined deep learning classi…A stock price prediction method based on deep learning technology (2021)A stock price prediction meth…A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing (2021)A Robust Predictive Model for…Optimizing LSTM for time series prediction in Indian stock market (2020)Optimizing LSTM for time seri…Stock Price Prediction Using News Sentiment Analysis (2019)Stock Price Prediction Using …A Prediction Approach for Stock Market Volatility Based on Time Series Data (2019)A Prediction Approach for Sto…Predicting Closed Price Time Series Data Using ARIMA Model (2018)Predicting Closed Price Time …Applying long short term momory neural networks for predicting stock closing price (2017)Applying long short term momo…Using social media mining technology to assist in price prediction of stock market (2016)Using social media mining tec…A sentiment analysis of who participates, how and why, at social media sport websites (2016)A sentiment analysis of who p…XBRL Agent: Leveraging Large Language Models for Financial Report Analysis (2024)XBRL Agent: Leveraging Large …Forecasting with artificial neural networks: (1998)The Efficient Market Hypothesis and Its Critics (2003)Analysis of Financial Time Series (2006)Stock Price Prediction using Machine Learning and Sentiment Analysis (2021)Predicting NEPSE index price using deep learning models (2022)Analysis and prediction of Indian stock market: a machine-learning approach (2023)A review of stock market prediction with Artificial neural network (ANN) (2013)Recurrent neural network and a hybrid model for prediction of stock returns (2014)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Stock Market Forecasting using Machine Learning: Today and Tomorrow (2019)CREST: Cross-Reference to Exchange-based Stock Trend Prediction using Long Short-Term Memory (2020)How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting (2022)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting (2021)Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network (2022)Forecasting relative returns for S&P 500 stocks using machine learning (2024)Forecasting Economic Time Series (1979)Modeling and Forecasting Realized Volatility (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock Price prediction using LSTM and SVR (2020)Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis (2021)Textual analysis of stock market prediction using breaking financial news (2009)Artificial Intelligence Applied to Stock Market Trading: A Review (2021)A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model (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)Predicting stock market index using LSTM (2022)Noise Trader Risk in Financial Markets (1990)The Limits of Arbitrage (1995)Twitter mood predicts the stock market (2011)Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Stock Market Analysis using Supervised Machine Learning (2019)Sentiment Analysis for Stock Price Prediction (2020)The Behavior of Stock-Market Prices (1965)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Predicting the Present with Google Trends (2012)Stock price movement prediction based on Stocktwits investor sentiment using FinBERT and ensemble SVM (2023)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Text mining for market prediction: A systematic review (2014)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis (2024)Biased echoes: Large language models reinforce investment biases and increase portfolio risks of private investors (2025)
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References

  • 2020Optimizing LSTM for time series prediction in Indian stock market367 cited
  • 2019A Prediction Approach for Stock Market Volatility Based on Time Series Data275 cited
  • 2019Stock Price Prediction Using News Sentiment Analysis243 cited
  • 2021A stock price prediction method based on deep learning technology175 cited
  • 2017Applying long short term momory neural networks for predicting stock closing price74 cited
  • 2018Predicting Closed Price Time Series Data Using ARIMA Model64 cited
  • 2022Using Financial News Sentiment for Stock Price Direction Prediction62 cited
  • 2021Stock Price Prediction Using Sentiment Analysis49 cited
  • 2021Stock Price Prediction Based on LSTM Deep Learning Model46 cited
  • 2016Using social media mining technology to assist in price prediction of stock market46 cited
  • 2021Stock price prediction using BERT and GAN46 cited
  • 2021A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing43 cited
  • 2021Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments41 cited
  • 2016A sentiment analysis of who participates, how and why, at social media sport websites32 cited

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  • 2024XBRL Agent: Leveraging Large Language Models for Financial Report Analysis12 cited