The goal of
async_blp is to create simple and fast Bloomberg Open API wrapper that can be used in highload environments.
It allows asynchronous processing of hundreds of
Bloomberg request simultaneously. Currently
async_blp provides support for reference and historical data,
instruments lookup and field search, as well as subscriptions.
More request types will be added in the future.
asyncioallows to process Bloomberg requests simultaneously while creating little overhead
async_blptakes care of creating and managing Bloomberg sessions as well as of parsing responses
User-friendly output. Data is returned as a
- Error handling. Security and field errors are returned in a separate object that can be easily inspected
You can install async_blp from PyPI using
pip install async_blp
Bloomberg API for Python (more info here: https://www.bloomberg.com/professional/support/api-library/)
python -m pip install --index-url=https://bloomberg.bintray.com/pip/simple blpapi
Before using async_blp, install blpapi from the link above and login in the Bloomberg Terminal.
import async_blp async def blp_example(loop): bloomberg = async_blp.AsyncBloomberg(loop=loop) data, _ = await bloomberg.get_reference_data(['F US Equity'], ['LAST_PRICE']) # it is important to wait until Bloomberg successfully closes all the sessions await bloomberg.stop() return data
More examples can be found here: https://github.com/rockscie/async_blp/tree/master/examples