A novel data-driven stock price trend prediction systemJing Zhang, Shicheng Cui, Yan Xu, Qianmu Li, Tao Li2017-12-13articleExpert Systems with Applications159 citationsclosedNo readable copy stored yet — this record is metadata only.Stock Market Forecasting MethodsFinancial Markets and Investment StrategiesTime Series Analysis and ForecastingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 159 citations exist upstream.References2011Twitter mood predicts the stock market1998Forecasting with artificial neural networks:2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data2013Data mining with big data2003Financial time series forecasting using support vector machines1995Random Walks in Stock Market Prices2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1994Market Statistics and Technical Analysis: The Role of VolumeCited by2018Predicting the Effects of News Sentiments on the Stock Market2021Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models2018Lagged correlation-based deep learning for directional trend change prediction in financial time series2022Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques2020Sentiment Analysis for Stock Price Prediction2023Stock Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach2022A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost2022Prediction of stock market index based on ISSA-BP neural network