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# Trading
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<details><summary>## Deep Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/deep_learning))</summary>
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<p>
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## Deep Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/deep_learning))
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- [Deep Learning](https://github.com/keon/deepstock) - Technical experimentations to beat the stock market using deep learning.
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- [Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks) - Tensorflow Regression.
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- [Deep Learning III](https://github.com/Rachnog/Deep-Trading) - Algorithmic trading with deep learning experiments.
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- [AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md) - AI to predict stock market movements.
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</p>
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</details>
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## Reinforcement Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/reinforcement_learning))
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- [RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW) - A collection of 25+ Reinforcement Learning Trading Strategies - Google Colab.
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- [RL](https://github.com/kh-kim/stock_market_reinforcement_learning) - OpenGym with Deep Q-learning and Policy Gradient.
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