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Stock price prediction using reinforcement learning
1 references·16 citing·48 second hop
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(2021)Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis (2022)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Forecasting the turning time of stock market based on Markov–Fourier grey model (2008)Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction (2017)Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)
this work references cited by second hop

References

  • 2003An intelligent forecasting system of stock price using neural networks144 cited

Cited by

  • 2008A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting117 cited
  • 2009Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis113 cited
  • 2019Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction108 cited
  • 2009Automatic stock decision support system based on box theory and SVM algorithm102 cited
  • 2024FNSPID: A Comprehensive Financial News Dataset in Time Series61 cited
  • 2005Brain-inspired Genetic Complementary Learning for Stock Market Prediction59 cited
  • 2007BIOLOGICAL BRAIN‐INSPIRED GENETIC COMPLEMENTARY LEARNING FOR STOCK MARKET AND BANK FAILURE PREDICTION158 cited
  • 2010Trend discovery in financial time series data using a case based fuzzy decision tree54 cited
  • 2019Reinforcement Learning in Stock Trading54 cited
  • 2022AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators48 cited
  • 2021Stock trading rule discovery with double deep Q-network48 cited
  • 2004AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN44 cited
  • 2018An investor sentiment reward-based trading system using Gaussian inverse reinforcement learning algorithm

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42 cited
  • 2013Adapting financial rationality: Is a new paradigm emerging?36 cited
  • 2022Pairs trading via unsupervised learning35 cited
  • 2011Evolutional RBFNs prediction systems generation in the applications of financial time series data33 cited