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A Discrete Stock Price Prediction Engine Based on Financial News
6 references·4 citing·48 second hop
A Discrete Stock Price Prediction Engine Based on Financial News (2010)A Discrete Stock Price Prediction Engine …Textual Analysis of Stock Market Prediction Using Financial News Articles (2006)Textual Analysis of Stock Mar…Forecasting Intraday stock price trends with text mining techniques (2004)Forecasting Intraday stock pr…Predicting stock price performance: a neural network approach (2002)Predicting stock price perfor…News Sensitive Stock Trend Prediction (2002)News Sensitive Stock Trend Pr…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Time series properties of an artificial stock market (1999)Time series properties of an …Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature (2021)Machine Learning in Finance: …Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic (2021)Bayesian neural networks for …Effect of Digitalized Rumor Clarification on Stock Markets (2018)Effect of Digitalized Rumor C…Using social media mining technology to assist in price prediction of stock market (2016)Using social media mining tec…The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information (2014)Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction (2016)Stock Price Prediction by Deep Neural Generative Model of News Articles (2018)Stock prediction: Integrating text mining approach using real-time news (2003)Technical Analysis from A to Z (2005)NewsCATS: A News Categorization and Trading System (2006)Combining News and Technical Indicators in Daily Stock Price Trends Prediction (2007)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Noise Trader Risk in Financial Markets (1990)Heterogeneous Agent Models in Economics and Finance (2005)Textual analysis of stock market prediction using breaking financial news (2009)DCCA cross-correlation coefficient: Quantifying level of cross-correlation (2010)The Econometrics of Financial Markets (2012)Content Analysis in Communication Research. (1952)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)A Hybrid Neurogenetic Approach for Stock Forecasting (2007)Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Market Making and Reversal on the Stock Exchange (1966)Predictability of Stock Market Prices. (1971)A quantitative stock prediction system based on financial news (2009)A survey of the applications of text mining in financial domain (2016)An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown (2017)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)Common risk factors in the returns on stocks and bonds (1993)A Survey of Corporate Governance (1997)Is microblogging data reflected in stock market volatility? Evidence from Sina Weibo (2019)PORTFOLIO SELECTION* (1952)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Where and how machine learning plays a role in climate finance research (2024)Deep learning applications and challenges in big data analytics (2015)The Global Macroeconomic Impacts of COVID-19: Seven Scenarios (2020)The socio-economic implications of the coronavirus pandemic (COVID-19): A review (2020)Assessing the Impact of the COVID-19 Crisis on Hotel Industry Bankruptcy Risk through Novel Forecasting Models (2022)A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A survey on uncertainty quantification in deep learning for financial time series prediction (2024)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)
this work references cited by second hop

References

  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 1999Time series properties of an artificial stock market729 cited
  • 2004Forecasting Intraday stock price trends with text mining techniques266 cited
  • 2002Predicting stock price performance: a neural network approach182 cited
  • 2002News Sensitive Stock Trend Prediction135 cited
  • 2006Textual Analysis of Stock Market Prediction Using Financial News Articles79 cited

Cited by

  • 2021Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic59 cited
  • 2021Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature49 cited
  • 2016Using social media mining technology to assist in price prediction of stock market46 cited
  • 2018Effect of Digitalized Rumor Clarification on Stock Markets30 cited

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