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The Impact of Sentiment Indices on the Stock Exchange—The Connections between Quantitative Sentiment Indicators, Technical Analysis, and Stock Market
16 references·0 citing·54 second hop
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References

  • 2020Stock market prediction using machine learning classifiers and social media, news364 cited
  • 2021S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis162 cited
  • 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis162 cited
  • 2020An empirical examination of investor sentiment and stock market volatility: evidence from India137 cited
  • 2022Investor sentiments and stock markets during the COVID-19 pandemic119 cited
  • 2022Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets95 cited
  • 2019Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis94 cited
  • 2019Stock returns and investor sentiment: textual analysis and social media93 cited
  • 1996An Analysis of Criterion Variable Reliability in Conjoint Analysis84 cited
  • 2022Short-term stock trends prediction based on sentiment analysis and machine learning73 cited
  • 2021Volatility, Valuation Ratios, and Bubbles: An Empirical Measure of Market Sentiment72 cited
  • 2016Media, sentiment and market performance in the long run59 cited
  • 2022Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak52 cited
  • 2023

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Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment
51 cited
  • 2022RETRACTED ARTICLE: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis50 cited
  • 2022Forecasting stock market volatility with a large number of predictors: New evidence from the MS-MIDAS-LASSO model49 cited
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