Deep_trader
Visit Tooldeep_trader is an Open Source finance tool that uses reinforcement learning to train an agent to trade on the stock market. It aims to teach the agent to interpret market data and make trading decisions.
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deep_trader is an Open Source finance tool that uses reinforcement learning to train an agent to trade on the stock market. It aims to teach the agent to interpret market data and make trading decisions.
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About
deep_trader is an open-source project that leverages reinforcement learning to develop an AI agent capable of trading in the stock market. The primary goal is to determine if an AI can learn to 'read the tape' – a term for understanding market sentiment and order flow. The project is dedicated to the legendary trader Jesse Livermore. It features different reinforcement learning approaches, including DQN and Policy Gradient models, implemented using TensorFlow. Users can reproduce the steps to train their own models using provided data sources, though the creator notes they are no longer actively working on the project due to running a company on RL trading.
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Open Source
Free
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