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AlphaTrade
AlphaTrade
  • Introduction
  • Future Research Topics
  • Architecture of the package
  • Gym_exchange
  • Gymnax_exchange
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Mid Related ICAIF Papers#

  • ICAIF2022
    • Mid Related
      • Market Making under Order Stacking Framework: A Deep Reinforcement Learning Approach

      • Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books

      • Computationally Efficient Feature Significance and Importance for Predictive Models

      • LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering

      • Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions

      • Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization

  • ICAIF2021
    • Mid Related
      • Deep Q-learning market makers in a multi-agent simulated stock market

      • FinRL: deep reinforcement learning framework to automate trading in quantitative finance

      • Sig-wasserstein GANs for time series generation

      • Agent-based markets: equilibrium strategies and robustness

      • Intelligent trading systems: a sentiment-aware reinforcement learning approach

      • High frequency automated market making algorithms with adverse selection risk control via reinforcement learning

    • Low Realted
      • An automated portfolio trading system with feature preprocessing and recurrent reinforcement learning

      • Monte carlo tree search for trading and hedging

      • Visual time series forecasting: an image-driven approach

      • Trading via selective classification

      • Timing is money: the impact of arrival order in beta-bernoulli prediction markets

      • An agent-based model of strategic adoption of real-time payments

      • FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance

      • Stability effects of arbitrage in exchange traded funds: an agent-based model

  • ICAIF2020
    • Mid Related
      • A tabular sarsa-based stock market agent

      • Dynamic prediction length for time series with sequence to sequence network

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