https://github.com/pablodieaco/quant-drl-core
quant-drl-core is a modular and extensible framework for applying Deep Reinforcement Learning (DRL) techniques to portfolio management and financial decision-making. Built with flexibility and research in mind, it provides tools for data processing, environment simulation, agent training, and performance evaluation.
https://github.com/pablodieaco/quant-drl-core
deep-reinforcement-learning pytorch quantitative-finance quantitative-trading stable-baselines3 yfinance
Last synced: 4 months ago
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quant-drl-core is a modular and extensible framework for applying Deep Reinforcement Learning (DRL) techniques to portfolio management and financial decision-making. Built with flexibility and research in mind, it provides tools for data processing, environment simulation, agent training, and performance evaluation.
- Host: GitHub
- URL: https://github.com/pablodieaco/quant-drl-core
- Owner: pablodieaco
- License: mit
- Created: 2025-04-03T14:50:29.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-06-10T22:00:59.000Z (4 months ago)
- Last Synced: 2025-06-10T22:19:38.615Z (4 months ago)
- Topics: deep-reinforcement-learning, pytorch, quantitative-finance, quantitative-trading, stable-baselines3, yfinance
- Language: Jupyter Notebook
- Homepage:
- Size: 23.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE