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Machine Learning for Stock Prediction Based on Fundamental Analysis
12 references·1 citing·43 second hop
Machine Learning for Stock Prediction Based on Fundamental Analysis (2021)Machine Learning for Stock Prediction Bas…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Proof that Properly Anticipated Prices Fluctuate Randomly (2015)Proof that Properly Anticipat…Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015)Application of evolutionary c…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Forecasting stock market shor…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Separating Winners from Losers among LowBook-to-Market Stocks using Financial Statement Analysis (2005)Separating Winners from Loser…Neural network techniques for financial performance prediction: integrating fundamental and technical analysis (2003)Neural network techniques for…Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers (2000)Value Investing: The Use of H…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction (2022)A random forest-based model f…Mutual Fund Performance (1966)Modern Portfolio Theory and Investment Analysis. (1982)Investment Under Uncertainty. (1994)Predicting the daily return direction of the stock market using hybrid machine learning algorithms (2019)Optimizing LSTM for time series prediction in Indian stock market (2020)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Using artificial neural network models in stock market index prediction (2011)Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Evaluating multiple classifiers for stock price direction prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Corporate financing and investment decisions when firms have information that investors do not have (1984)The Cross-Section of Expected Stock Returns (1992)Investor Psychology and Security Market Under‐ and Overreactions (1998)Market Reactions to Tangible and Intangible Information (2006)Profitability, investment and average returns (2006)Replicating Anomalies (2018)DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES (1956)Portfolio Selection: Efficient Diversification of Investments (1959)Dividend Policy, Growth, and the Valuation of Shares (1961)Risk, Return, and Equilibrium: Empirical Tests (1973)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)Applications of deep learning in stock market prediction: Recent progress (2021)Contrarian Investment, Extrapolation, and Risk (1994)Do Stock Prices Fully Reflect Information in Accruals and Cash Flows About Future Earnings? (1996)Delisting returns and their effect on accounting-based market anomalies (2007)The Book‐to‐Price Effect in Stock Returns: Accounting for Leverage (2007)Identifying Expectation Errors in Value/Glamour Strategies: A Fundamental Analysis Approach (2012)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Stochastic Convenience Yield and the Pricing of Oil Contingent Claims (1990)Inefficient Markets (2000)Equity Premia as Low as Three Percent? Evidence from Analysts' Earnings Forecasts for Domestic and International Stock Markets (2001)
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References

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2015Proof that Properly Anticipated Prices Fluctuate Randomly2,078 cited
  • 2000Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers1,204 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications771 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2003Neural network techniques for financial performance prediction: integrating fundamental and technical analysis380 cited
  • 2005Separating Winners from Losers among LowBook-to-Market Stocks using Financial Statement Analysis361 cited
  • 2009Forecasting stock market short-term trends using a neuro-fuzzy based methodology307 cited
  • 2015Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review184 cited

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  • 2022A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction

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34 cited