cryptodatapy.extract.exchanges.dydx

Attributes

data_cred

Classes

Dydx	Retrieves data from dydx exchange.

Module Contents

cryptodatapy.extract.exchanges.dydx.data_cred

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

Bases: cryptodatapy.extract.exchanges.exchange.Exchange

Retrieves data from dydx exchange.

data_req = None

data

get_assets_info()

get_markets_info()

get_fields_info(data_type: str | None)

get_frequencies_info()

get_rate_limit_info()

get_metadata()

_fetch_ohlcv()

_fetch_funding_rates()

_fetch_open_interest()

_convert_params()

static _wrangle_data_resp(data_req: cryptodatapy.extract.datarequest.DataRequest, data_resp: Dict[str, Any] | pandas.DataFrame) → pandas.DataFrame

_fetch_tidy_ohlcv()

_fetch_tidy_funding_rates()

_fetch_tidy_open_interest()

get_data(data_req) → pandas.DataFrame