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AdityaaXD
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Multi-Agent_Reinforcement_Learning_Trading_System_Models

Reinforcement Learning
stable-baselines3
finance
stock-trading
deep-reinforcement-learning
dqn
ppo
a2c
Eval Results (legacy)
Model card Files
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Add link to Dataset repo

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README.md CHANGED
@@ -43,6 +43,11 @@ The models were trained on technical indicators derived from historical daily pr
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  * **Volume Ratio**: Relative volume intensity.
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  * **Market Regime**: Bull/Bear trend classification.
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  ## 🎮 Environment (`TradingEnv`)
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  * **Action Space**: Discrete(3) - `0: HOLD`, `1: BUY`, `2: SELL`.
 
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  * **Volume Ratio**: Relative volume intensity.
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  * **Market Regime**: Bull/Bear trend classification.
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+ ## 🔗 Related Data
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+ * **Dataset Repository**: [AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Data](https://huggingface.co/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Data)
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  ## 🎮 Environment (`TradingEnv`)
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  * **Action Space**: Discrete(3) - `0: HOLD`, `1: BUY`, `2: SELL`.