GitHub - apolanco3225/Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPG: Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.

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Name		Name	Last commit message	Last commit date
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text_images		text_images
DRL.ipynb		DRL.ipynb
ddpg_agent.py		ddpg_agent.py
model.py		model.py
syntheticChrissAlmgren.py		syntheticChrissAlmgren.py
utils.py		utils.py

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Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.

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