Model: Adilbai/stock-trading-rl-agent
Author: Adilbai
Pipeline: reinforcement-learning
Library: stable-baselines3
Tags: stable-baselines3, tensorboard, reinforcement-learning, trading, finance, stock-market, ppo, quantitative-finance, algorithmic-trading, deep-reinforcement-learning, portfolio-management, financial-ai, dataset:yahoo-finance, arxiv:1707.06347, license:mit, model-index, region:us
Card metadata: library_name: stable-baselines3
tags: reinforcement-learning, trading, finance, stock-market, ppo, quantitative-finance, algorithmic-trading, deep-reinforcement-learning, portfolio-management, financial-ai
license: mit
base_model: PPO
model-index: name: Stock Trading RL Agent
results: task: type: reinforcement-learning
name: Stock Trading
dataset: name: FAANG Stocks (5Y Historical Data)
type: financial-time-series
metrics: type: total_return
value: 162.87
name: Best Total Return (AMZN)
verified: no, type: sharpe_ratio
value: 0.74
name: Best Sharpe Ratio (AMZN)
verified: no, type: max_drawdown
value: 145.29
name: Best Max Drawdown (TSLA)
verified: no, type: win_rate
value: 52.11
name: Best Win Rate (MSFT)
verified: no
datasets: yahoo-finance
pipeline_tag: reinforcement-learning
widget: text: Technical Analysis Trading Agent
example_title: Stock Trading Decision
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Created: 2025-07-04 17:14:46