cryptodatapy.extract.exchanges.dydx
===================================

.. py:module:: cryptodatapy.extract.exchanges.dydx


Attributes
----------

.. autoapisummary::

   cryptodatapy.extract.exchanges.dydx.data_cred


Classes
-------

.. autoapisummary::

   cryptodatapy.extract.exchanges.dydx.Dydx


Module Contents
---------------

.. py:data:: data_cred

.. py:class:: Dydx(name: str = 'dydx', exch_type: str = 'dex', is_active: bool = True, categories: Union[str, List[str]] = 'crypto', assets: Optional[Dict[str, List[str]]] = None, markets: Optional[Dict[str, List[str]]] = None, market_types: List[str] = ['spot', 'future', 'perpetual_future', 'option'], fields: Optional[List[str]] = ['open', 'high', 'low', 'close', 'volume', 'funding_rate', 'oi'], frequencies: Optional[Dict[str, Union[str, int]]] = None, fees: Optional[Dict[str, float]] = {'spot': {'maker': 0.0, 'taker': 0.0}, 'perpetual_future': {'maker': 0.0, 'taker': 0.0}}, base_url: Optional[str] = None, api_key: Optional[str] = None, max_obs_per_call: Optional[int] = None, rate_limit: Optional[Any] = None)

   Bases: :py:obj:`cryptodatapy.extract.exchanges.exchange.Exchange`


   Retrieves data from dydx exchange.


   .. py:attribute:: data_req
      :value: None



   .. py:attribute:: data


   .. py:method:: get_assets_info()


   .. py:method:: get_markets_info()


   .. py:method:: get_fields_info(data_type: Optional[str])


   .. py:method:: get_frequencies_info()


   .. py:method:: get_rate_limit_info()


   .. py:method:: get_metadata()


   .. py:method:: _fetch_ohlcv()


   .. py:method:: _fetch_funding_rates()


   .. py:method:: _fetch_open_interest()


   .. py:method:: _convert_params()


   .. py:method:: _wrangle_data_resp(data_req: cryptodatapy.extract.datarequest.DataRequest, data_resp: Union[Dict[str, Any], pandas.DataFrame]) -> pandas.DataFrame
      :staticmethod:



   .. py:method:: _fetch_tidy_ohlcv()


   .. py:method:: _fetch_tidy_funding_rates()


   .. py:method:: _fetch_tidy_open_interest()


   .. py:method:: get_data(data_req) -> pandas.DataFrame