policy
btc_ppo
arnav-ds · PyTorch
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Overview
Name
btc_ppo
Author
arnav-ds
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
Proximal Policy Optimization (PPO) Bitcoin Trading Bot — Reinforcement Learning model trained on historical BTC price data, benchmarked against Buy & Hold. Includes performance analytics, risk metrics (Sharpe, Sortino, Max Drawdown), and visual equity curve comparisons.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list btc_ppo as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list btc_ppo yet.
Datasets that reference this policy
0No datasets reference btc_ppo yet.