rezvan98
/

trading-agent-rl

Reinforcement Learning

stable-baselines3

Model card Files Files and versions

Trading Agent RL

Kaggle-trained PPO, SAC, and A2C ensemble for AAPL. The Hugging Face Space at https://huggingface.co/spaces/rezvan98/trading-dashboard reads these artifacts and runs CPU inference for live model signals.

Latest Kaggle Run

Timesteps per agent: 30,000
Device: CPU
Train period: 2018-01-01 to 2023-12-31
Test period: 2024-01-01 to 2025-12-31

Metric	Value
Total Return	2.74%
Sharpe	-1.219
Max Drawdown	-2.03%
SPY Benchmark Return	48.95%

Artifacts

models/ppo_final.zip
models/sac_final.zip
models/a2c_final.zip
models/ensemble_weights.json
data/feature_schema.json
data/backtest_results.csv
data/trade_log.csv
report/metrics.json

Research and paper trading only. Not financial advice.

Downloads last month: 228

Video Preview

Reinforcement Learning

loading

Space using rezvan98/trading-agent-rl 1