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prajeeta15
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Train RL agents using PPO (or any SB3 algorithm) with a TradingEnv built on top of Jesse’s backtesting engine.
train_rl.py: Train a model with synthetic or historical candles
test_rl.py: Evaluate trained models across multiple episodes
rl_env.py: Custom gym.Env wrapper for RL agent interaction

@saleh-mir
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I'm really curious about reinforcement learning. Have you had any luck with it? Have you seen any progress or anything like that?

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2 participants