Shypd.aiThe largest open index of AI toolsDeep-Reinforcement-Stock-Trading is an open-source framework for applying deep reinforcement learning to stock trading. It provides a modular and scalable environment for portfolio management research and experimentation.
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Deep-Reinforcement-Stock-Trading is a light-weight, open-source framework designed for applying deep reinforcement learning algorithms to stock trading and portfolio management. This project offers a highly modular and scalable environment for researchers and developers to explore advanced AI strategies in finance. It includes features for training and evaluating DDPG and DQN agents, with built-in metrics and visualizations. The framework supports single stock types and basic actions like buy, hold, and sell, with plans to integrate more sophisticated algorithms, complex state representations, and high-quality data sources for backtesting. It's ideal for those looking to experiment with AI in financial markets.
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