Reinforcement Learning for Optimal Trade Execution
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Updated
Jan 18, 2020 - Python
Reinforcement Learning for Optimal Trade Execution
Logistic‑Normal Actor‑Critic für optimale Trade‑Ausführung in einem realistischen Limit‑Order‑Book‑Simulator (Noise/Tactical/Strategic); PyTorch‑Training inkl. TWAP/SL‑Baselines & Evaluation.
Literature survey of order execution strategies implemented in python
We consider the execution of portfolio transactions with the aim of minimizing a combination of risk and transaction costs arising from permanent and temporary market impact.
This is for the capstone project "Optimal Execution of a VWAP order".
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