policy
FinRL-Crypto-Deep-RL-For-Portfolio-Optimization-
Neha-M333 · TensorFlow
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Overview
Name
FinRL-Crypto-Deep-RL-For-Portfolio-Optimization-
Author
Neha-M333
Framework
TensorFlow
License
unknown
Skill type
other
Evidence level
untested
Task description
Developed a DRL-based crypto trading model using Proximal Policy Optimization (PPO) in the FinRL framework. Trained the agent on historical data to optimize portfolio returns, incorporating feature engineering and financial indicators for improved performance.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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