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Reinforcement Learning in Financial Markets
3 references·16 citing·47 second hop
Reinforcement Learning in Financial Markets (2019)Reinforcement Learning in Financial Marke…Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning (2018)Improving financial trading d…Learning to trade via direct reinforcement (2001)Learning to trade via direct …Performance functions and reinforcement learning for trading systems and portfolios (1998)Performance functions and rei…Machine learning in business and finance: a literature review and research opportunities (2024)Machine learning in business …FNSPID: A Comprehensive Financial News Dataset in Time Series (2024)FNSPID: A Comprehensive Finan…Deep Reinforcement Learning Approach for Trading Automation in the Stock Market (2022)Deep Reinforcement Learning A…A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading (2022)A Deep Reinforcement Learning…Text Mining of Stocktwits Data for Predicting Stock Prices (2021)Text Mining of Stocktwits Dat…Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Machine learning models predi…Learning to trade in financial time series using high-frequency through wavelet transformation and deep reinforcement learning (2021)Learning to trade in financia…Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating (2021)Feature Learning for Stock Pr…Dynamic portfolio rebalancing through reinforcement learning (2021)Dynamic portfolio rebalancing…Deep Reinforcement Learning for Trading—A Critical Survey (2021)Deep Reinforcement Learning f…Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic (2021)Bayesian neural networks for …Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price (2020)Wavelet Denoising and Attenti…Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change (2020)Wavelet Denoised-ResNet CNN a…Deep Reinforcement Learning in Agent Based Financial Market Simulation (2020)Deep Reinforcement Learning i…Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World (2020)Corporate Bankruptcy Predicti…A Q-learning agent for automated trading in equity stock markets (2020)A Q-learning agent for automa…Exposition of a New Theory on the Measurement of Risk (1954)Portfolio Selection: Efficient Diversification of Investments (1959)Mutual Fund Performance (1966)PAMR: Passive aggressive mean reversion strategy for portfolio selection (2012)Online portfolio selection (2014)Optimum consumption and portfolio rules in a continuous-time model (1971)Option pricing: A simplified approach (1979)A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (2017)DeepLOB: Deep Convolutional Neural Networks for Limit Order Books (2019)The Pricing of Options and Corporate Liabilities (1973)The Relation Between Price Changes and Trading Volume: A Survey (1987)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Deep reinforcement learning for automated stock trading (2020)How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda (2022)StockNet—GRU based stock index prediction (2022)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Machine learning models and bankruptcy prediction (2017)Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis (2023)Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction (2024)Mean Reversion of Standard & Poor's 500 Index Basis Changes: Arbitrage‐induced or Statistical Illusion? (1994)Adaptive stock trading strategies with deep reinforcement learning methods (2020)Multi-type data fusion framework based on deep reinforcement learning for algorithmic trading (2022)Stock Trading Strategies Based on Deep Reinforcement Learning (2022)Advances in prospect theory: Cumulative representation of uncertainty (1992)An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown (2017)Cryptocurrency portfolio management with deep reinforcement learning (2017)Enhancing portfolio management using artificial intelligence: literature review (2024)Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach (2025)Conditional value-at-risk for general loss distributions (2002)Deep learning with long short-term memory networks for financial market predictions (2017)Empirical Asset Pricing via Machine Learning (2020)Deep Learning in Stock Portfolio Selection and Predictions (2022)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)McVCsB: A new hybrid deep learning network for stock index prediction (2023)The Sharpe Ratio (1994)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction (2023)Stock Market Prediction Using Deep Reinforcement Learning (2023)From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques (2024)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)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Artificial Intelligence in Financial Behavior: Bibliometric Ideas and New Opportunities (2025)
this work references cited by second hop

References

  • 2001Learning to trade via direct reinforcement548 cited
  • 1998Performance functions and reinforcement learning for trading systems and portfolios292 cited
  • 2018Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning204 cited

Cited by

  • 2024Machine learning in business and finance: a literature review and research opportunities96 cited
  • 2022Deep Reinforcement Learning Approach for Trading Automation in the Stock Market88 cited
  • 2020Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World78 cited
  • 2020A Q-learning agent for automated trading in equity stock markets74 cited
  • 2021Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric65 cited
  • 2021Dynamic portfolio rebalancing through reinforcement learning62 cited
  • 2024FNSPID: A Comprehensive Financial News Dataset in Time Series61 cited
  • 2021Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic59 cited
  • 2021Learning to trade in financial time series using high-frequency through wavelet transformation and deep reinforcement learning55 cited
  • 2021Text Mining of Stocktwits Data for Predicting Stock Prices54 cited
  • 2021

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Deep Reinforcement Learning for Trading—A Critical Survey
53 cited
  • 2022A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading50 cited
  • 2020Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price45 cited
  • 2021Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating45 cited
  • 2020Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change39 cited
  • 2020Deep Reinforcement Learning in Agent Based Financial Market Simulation38 cited