Master Thesis: Limit order placement with Reinforcement Learning
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Updated
Aug 22, 2018 - Jupyter Notebook
Master Thesis: Limit order placement with Reinforcement Learning
An intelligent Reinforcement Learning based trade execution engine trained on real SPY 1-minute data to minimize market impact and cost. Uses PPO in a custom Gym environment to dynamically decide execution quantities and outperforms traditional TWAP/VWAP strategies.
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