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A Master Project implementing a Deep Reinforcement Learning (DDPG) agent for transaction-cost-aware option hedging. Features Behavioral Cloning for a "warm start" and is backtested on real-world SPY ETF data.

  • Updated Aug 2, 2026
  • Jupyter Notebook

A reinforcement learning project that trains DQN and PPO agents to trade SPY using technical indicators and portfolio data. Built with Python, Gymnasium, Stable-Baselines3, PyTorch, yfinance, pandas, and scikit-learn, it compares the agents against traditional trading strategies and evaluates them using financial performance metrics.

  • Updated Jun 19, 2026
  • Python

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