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Deep Learning for Multivariate Financial Time Series
2 references·5 citing·33 second hop
Deep Learning for Multivariate Financial Time Series (2015)Deep Learning for Multivariate Financial …An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network (2001)An intelligent stock trading …Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Returns to Buying Winners and…A survey of deep learning applications in cryptocurrency (2023)A survey of deep learning app…Ensemble deep learning framework for stock market data prediction (EDLF-DP) (2021)Ensemble deep learning framew…Stock Price Prediction using Technical Indicators: A Predictive Model using Optimal Deep Learning (2019)Stock Price Prediction using …A Practical Machine Learning Approach for Dynamic Stock Recommendation (2018)A Practical Machine Learning …Deep Learning for Financial Time Series Forecasting in A-Trader System (2017)Deep Learning for Financial T…Stock market prediction system with modular neural networks (1990)The max-min Delphi method and fuzzy Delphi method via fuzzy integration (1993)Predicting stock price using fuzzy grey prediction system (2002)Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning (2018)Artificial Intelligence Applied to Stock Market Trading: A Review (2021)Risk, Return, and Equilibrium: Empirical Tests (1973)Does the Stock Market Overreact? (1985)The Cross-Section of Expected Stock Returns (1992)Multifactor Explanations of Asset Pricing Anomalies (1996)On Persistence in Mutual Fund Performance (1997)Investor Psychology and Security Market Under‐ and Overreactions (1998)MULTIASSET MARKET DYNAMICS (2004)Neural networks in finance : gaining predictive edge in the market (2005)Technical analysis: the complete resource for financial market technicians (2011)Deep Learning Based Forecasting in Stock Market with Big Data Analytics (2019)Deep learning in exchange markets (2019)Editor's Choice Digesting Anomalies: An Investment ApproachThe implied cost of capital: A new approach (2011)Digesting Anomalies: An Investment Approach (2012)Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis (2019)Time series forecasting using a hybrid ARIMA and neural network model (2003)The text mining handbook: advanced approaches in analyzing unstructured data (2007)Textual analysis of stock market prediction using breaking financial news (2009)A novel study on deep learning framework to predict and analyze the financial time series information (2021)Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps (2025)Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)An innovative neural network approach for stock market prediction (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)Importance of Machine Learning in Making Investment Decision in Stock Market (2021)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Deep learning with long short-term memory networks for financial market predictions (2017)
this work references cited by second hop

References

  • 1993Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency11,575 cited
  • 2001An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network306 cited

Cited by

  • 2023A survey of deep learning applications in cryptocurrency53 cited
  • 2021Ensemble deep learning framework for stock market data prediction (EDLF-DP)48 cited
  • 2018A Practical Machine Learning Approach for Dynamic Stock Recommendation47 cited
  • 2019Stock Price Prediction using Technical Indicators: A Predictive Model using Optimal Deep Learning46 cited
  • 2017Deep Learning for Financial Time Series Forecasting in A-Trader System44 cited

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