After I installed the gym and it got registered, all I did was to run the following:
import gym
import gym_trading
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import quandl
from matplotlib import interactive
interactive(True)
quandl.ApiConfig.api_key = 'my quandl api key here'
env = gym.make('trading-v0')
WARN: gym.spaces.Box autodetected dtype as <type 'numpy.float32'>. Please provide explicit dtype.
Traceback (most recent call last):
File "trading.py", line 12, in <module>
env = gym.make('trading-v0')
File "/usr/local/lib/python2.7/site-packages/gym/envs/registration.py", line 167, in make
return registry.make(id)
File "/usr/local/lib/python2.7/site-packages/gym/envs/registration.py", line 119, in make
env = spec.make()
File "/usr/local/lib/python2.7/site-packages/gym/envs/registration.py", line 86, in make
env = cls(**self._kwargs)
File "/Users/simradu/reinforcement-learning-an-introduction/my_gyms/gym-trading/gym_trading/envs/trading_env.py", line 193, in __init__
self.reset()
File "/usr/local/lib/python2.7/site-packages/gym/core.py", line 71, in reset
raise NotImplementedError