hackthemarket / gym-trading Goto Github PK

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NotFoundError                             Traceback (most recent call last)
<ipython-input-3-b93e6210c1a2> in <module>()
----> 1 env = gym.make('trading-v0')
      2 #env.time_cost_bps = 0 #

C:\Anaconda\envs\py353\lib\site-packages\gym\envs\registration.py in make(id)
    159 
    160 def make(id):
--> 161     return registry.make(id)
    162 
    163 def spec(id):

C:\Anaconda\envs\py353\lib\site-packages\gym\envs\registration.py in make(self, id)
    117         logger.info('Making new env: %s', id)
    118         spec = self.spec(id)
--> 119         env = spec.make()
    120         if (env.spec.timestep_limit is not None) and not spec.tags.get('vnc'):
    121             from gym.wrappers.time_limit import TimeLimit

C:\Anaconda\envs\py353\lib\site-packages\gym\envs\registration.py in make(self)
     84 
     85         cls = load(self._entry_point)
---> 86         env = cls(**self._kwargs)
     87 
     88         # Make the enviroment aware of which spec it came from.

c:\users\root\documents\upwork\anton\gitlab\notebooks\lime\gym-trading-master\gym_trading\envs\trading_env.py in __init__(self)
    185   def __init__(self):
    186     self.days = 252
--> 187     self.src = QuandlEnvSrc(days=self.days)
    188     self.sim = TradingSim(steps=self.days, trading_cost_bps=1e-3,
    189                           time_cost_bps=1e-4)

c:\users\root\documents\upwork\anton\gitlab\notebooks\lime\gym-trading-master\gym_trading\envs\trading_env.py in __init__(self, days, name, auth, scale)
     45     self.days = days+1
     46     log.info('getting data for %s from quandl...',QuandlEnvSrc.Name)
---> 47     df = quandl.get(self.name) if self.auth=='' else quandl.get(self.name, authtoken=self.auth)
     48     log.info('got data for %s from quandl...',QuandlEnvSrc.Name)
     49 

C:\Anaconda\envs\py353\lib\site-packages\quandl\get.py in get(dataset, **kwargs)
     46         if dataset_args['column_index'] is not None:
     47             kwargs.update({'column_index': dataset_args['column_index']})
---> 48         data = Dataset(dataset_args['code']).data(params=kwargs, handle_column_not_found=True)
     49     # Array
     50     elif isinstance(dataset, list):

C:\Anaconda\envs\py353\lib\site-packages\quandl\model\dataset.py in data(self, **options)
     45         updated_options = Util.merge_options('params', params, **options)
     46         try:
---> 47             return Data.all(**updated_options)
     48         except NotFoundError:
     49             if handle_not_found_error:

C:\Anaconda\envs\py353\lib\site-packages\quandl\operations\list.py in all(cls, **options)
     12             options['params'] = {}
     13         path = Util.constructed_path(cls.list_path(), options['params'])
---> 14         r = Connection.request('get', path, **options)
     15         response_data = r.json()
     16         Util.convert_to_dates(response_data)

C:\Anaconda\envs\py353\lib\site-packages\quandl\connection.py in request(cls, http_verb, url, **options)
     34         abs_url = '%s/%s' % (ApiConfig.api_base, url)
     35 
---> 36         return cls.execute_request(http_verb, abs_url, **options)
     37 
     38     @classmethod

C:\Anaconda\envs\py353\lib\site-packages\quandl\connection.py in execute_request(cls, http_verb, url, **options)
     42             response = func(url, **options)
     43             if response.status_code < 200 or response.status_code >= 300:
---> 44                 cls.handle_api_error(response)
     45             else:
     46                 return response

C:\Anaconda\envs\py353\lib\site-packages\quandl\connection.py in handle_api_error(cls, resp)
     83         klass = d_klass.get(code_letter, QuandlError)
     84 
---> 85         raise klass(message, resp.status_code, resp.text, resp.headers, code)

NotFoundError: (Status 404) (Quandl Error QECx02) You have submitted an incorrect Quandl code. Please check your Quandl codes and try again.