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A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

According to all known laws of aviation, there is no way that a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway. Because bees don’t care what humans think is impossible.” SEQ. 75 - “INTRO TO BARRY” INT. BENSON HOUSE - ... Read more

mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading problems such as market-making and optimal execution. The module is set up in an extensible way to allow the combination of different aspects ... Read more

OpenAI Gym Environment API based Bitcoin trading environment

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A Trading environment base on Gym

Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3.