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Alqama-svg / fx_triplet_rl_algorithmic_trading

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A Reproducible Framework of the Research Paper "Deep Reinforcment Learning for Algorithmic Trading by Alvaro Cartea, Sebastian Jaimungal, and Leandro Sanchez-Betancourt": Architectures, Strategies, and Practical Implementation.

python machine-learning reinforcement-learning numpy pandas neural-networks trading-strategies hft quantitative-finance stochastic-processes gym-environment quant-trading pytorch-implementation matplotlib-pyplot scikitlearn optimal-strategy
  • Updated Aug 21, 2025
  • Jupyter Notebook

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