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Learning the Market: Sentiment-Based Ensemble Trading Agents
We propose the integration of sentiment analysis and deep-reinforcement learning ensemble algorithms for stock trading, and design a strategy capable of dynamically altering its employed agent given concurrent market sentiment.
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