- Step1: Install gym-fx via pip with `pip install gym-fx`.
- Step2: Import the environment using `import gym_fx` and create it with `gym.make("fx-v0")`.
- Step3: Load and configure historical Forex data and select currency pairs.
- Step4: Define and attach your reinforcement learning agent to the environment.
- Step5: Train your agent, monitor performance, and backtest strategies.
- Step6: Analyze results and adjust parameters or reward functions as needed.