BloombergDataProvider

class qf_lib.data_providers.bloomberg.bloomberg_data_provider.BloombergDataProvider(settings: Settings)

Bases: AbstractPriceDataProvider, TickersUniverseProvider

Data Provider which provides financial data from Bloomberg.

Methods:

connect()	Connects to Bloomberg data service and holds a connection.
expiration_date_field_str_map([ticker])	Method has to be implemented in each data provider in order to be able to use get_futures_chain_tickers.
get_current_values(tickers, fields[, ...])	Gets the current values of fields for given tickers.
get_history(tickers, fields, start_date[, ...])	Gets historical data from Bloomberg from the (start_date - end_date) time range.
get_tabular_data(ticker, field[, ...])	Provides current tabular data from Bloomberg.
get_tickers_universe(universe_ticker[, date])	param universe_ticker: ticker that describes a specific universe, which members will be returned
get_unique_tickers(universe_ticker)	Returns the unique list of Tickers belonging to a specified universe regardless of the date.
price_field_to_str_map()	Method has to be implemented in each data provider in order to be able to use get_price.
supported_ticker_types()	Returns classes of tickers which are supported by this DataProvider.

connect()

Connects to Bloomberg data service and holds a connection. Connecting might take about 10-15 seconds

expiration_date_field_str_map(ticker: Optional[BloombergTicker] = None) → Dict[ExpirationDateField, str]

Method has to be implemented in each data provider in order to be able to use get_futures_chain_tickers. Returns dictionary containing mapping between ExpirationDateField and corresponding string that has to be used by get_futures_chain_tickers method.

Parameters:

ticker (None, Ticker) – ticker is optional and might be uses by particular data providers to create appropriate dictionary

Returns:

mapping between ExpirationDateField and corresponding strings

Return type:

Dict[ExpirationDateField, str]

get_current_values(tickers: Union[BloombergTicker, Sequence[BloombergTicker]], fields: Union[str, Sequence[str]], override_name: Optional[str] = None, override_value: Optional[str] = None) → Union[None, float, str, QFSeries, QFDataFrame]

Gets the current values of fields for given tickers.

Parameters:

• tickers (BloombergTicker, Sequence[BloombergTicker]) – tickers for securities which should be retrieved

• fields (str, Sequence[str]) – fields of securities which should be retrieved

Returns:

Either QFDataFrame with 2 dimensions: ticker, field or QFSeries with 1 dimensions: ticker of field (depending if many tickers or fields was provided) is returned.

Return type:

QFDataFrame/QFSeries

Raises:

BloombergError – When couldn’t get the data from Bloomberg Service

get_history(tickers: Union[BloombergTicker, Sequence[BloombergTicker]], fields: Union[str, Sequence[str]], start_date: datetime, end_date: Optional[datetime] = None, frequency: Frequency = Frequency.DAILY, currency: Optional[str] = None, override_name: Optional[str] = None, override_value: Optional[str] = None) → Union[QFSeries, QFDataFrame, QFDataArray]

Gets historical data from Bloomberg from the (start_date - end_date) time range. In case of frequency, which is higher than daily frequency (intraday data), the data is indexed by the start_date. E.g. Time range: 8:00 - 8:01, frequency: 1 minute - indexed with the 8:00 timestamp

Parameters:

• tickers (Ticker, Sequence[Ticker]) – tickers for securities which should be retrieved

• fields (None, str, Sequence[str]) – fields of securities which should be retrieved. If None, all available fields will be returned (only supported by few DataProviders)

• start_date (datetime) – date representing the beginning of historical period from which data should be retrieved

• end_date (datetime) – date representing the end of historical period from which data should be retrieved; if no end_date was provided, by default the current date will be used

• frequency (Frequency) – frequency of the data

• currency (str) –

• override_name (str) –

• override_value (str) –

Returns:

If possible the result will be squeezed, so that instead of returning QFDataArray, data of lower dimensionality will be returned. The results will be either an QFDataArray (with 3 dimensions: date, ticker, field), a QFDataFrame (with 2 dimensions: date, ticker or field; it is also possible to get 2 dimensions ticker and field if single date was provided) or QFSeries (with 1 dimensions: date). If no data is available in the database or a non existing ticker was provided an empty structure (QFSeries, QFDataFrame or QFDataArray) will be returned returned.

Return type:

QFSeries, QFDataFrame, QFDataArray

get_tabular_data(ticker: BloombergTicker, field: str, override_names: Union[None, str, Sequence[str]] = None, override_values: Union[None, str, Sequence[str]] = None) → List

Provides current tabular data from Bloomberg.

Was tested on ‘INDX_MEMBERS’ and ‘MERGERS_AND_ACQUISITIONS’ requests. There is no guarantee that all other request will be handled, as returned data structures might vary.

Parameters:

• ticker (BloombergTicker) – ticker for security that should be retrieved

• field (str) – field of security that should be retrieved

• override_names (str) –

• override_values (str) –

Returns:

tabular data for the given ticker and field

Return type:

List

get_tickers_universe(universe_ticker: BloombergTicker, date: Optional[datetime] = None) → List[BloombergTicker]

Parameters:

• universe_ticker – ticker that describes a specific universe, which members will be returned

• date – date for which current universe members’ tickers will be returned

get_unique_tickers(universe_ticker: Ticker) → List[Ticker]

Returns the unique list of Tickers belonging to a specified universe regardless of the date.

Parameters:

universe_ticker – ticker that describes a specific universe, which members will be returned

Returns:

list of Tickers belonging to the universe

Return type:

List[Ticker]

price_field_to_str_map() → Dict[PriceField, str]

Method has to be implemented in each data provider in order to be able to use get_price. Returns dictionary containing mapping between PriceField and corresponding string that has to be used by get_history method to get appropriate type of price series.

Returns:

mapping between PriceFields and corresponding strings

Return type:

Dict[PriceField, str]

supported_ticker_types()

Returns classes of tickers which are supported by this DataProvider.