samre12/deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
Implements Deep Q-Learning with a DeepSense convolutional architecture for Q-function approximation, processing per-minute Bitcoin price data (OHLCV features) sampled from Coinbase exchange transactions. The agent learns to maximize cumulative rewards across three discrete actions (neutral/long/short positions) using TensorFlow, with training tracked via TensorBoard integration and Docker containerization for reproducibility.
792 stars. No commits in the last 6 months.
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792
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206
Language
Python
License
MIT
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Last pushed
Jun 07, 2018
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