Trading robot with reinforcement learning under the hood

Добавлено 07 ноя 2020 в 15:26
Made with Openai gym libraries and pytorch mostly. This environment provides historical data from a real exchange. The Agent has three actions to buy, sell and do nothing with each discrete step. The agent learns by interacting with the environment. Can be run on the bitmex test blockchain
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