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This skill ensures that trading dashboards accurately reflect the active symbols being traded by reinforcement learning models. It resolves common synchronization issues where dashboards display hardcoded or stale symbols by implementing a dynamic discovery pattern that scans for trained model files, accepts CLI overrides, and maintains a fallback system. This is particularly useful for algorithmic trading environments where the set of active assets changes frequently based on model training and universe selection, ensuring that developers always see relevant data in their monitoring tools.
