gym-fx is an open-source Python library that implements a simulated Forex trading environment using the OpenAI Gym interface. It offers support for multiple currency pairs, integration of historical price feeds, technical indicators, and fully customizable reward functions. By providing a standardized API, gym-fx simplifies the process of benchmarking and developing reinforcement learning algorithms for algorithmic trading. Users can configure market slippage, transaction costs, and observation spaces to closely mimic live trading scenarios, facilitating robust strategy development and evaluation.

Hermes 3 leverages sophisticated algorithms to analyze massive datasets, identify trading opportunities, and automate trading executions. It enables users to optimize their strategies through data-driven insights, ensuring timely decisions and maximizing return on investments. With its intuitive design, Hermes 3 simplifies complex trading tasks, making it accessible for both novice and experienced traders alike.