Bloomberg queries

bloomQuery.py

# python3 -m pip install blp
# https://pypi.org/project/blp/
# https://matthewgilbert.github.io/blp/quickstart.html

import datetime
import json

import pandas

from blp import blp

bquery = blp.BlpQuery().start()

# Request PX_LAST for a specific security

data = bquery.bdp(["IMB US EQUITY"], ["NAME", "PX_LAST"])
print((data))
# print(type(data))

index_members = bquery.bds("INDU Index", "INDX_MWEIGHT")
# print((index_members))

historical_data = bquery.bdh(
    ["SPY US Equity", "TLT US Equity"],
    ["PX_LAST", "VOLUME"],
    start_date="20190101",
    end_date="20190110",
    options={"adjustmentSplit": True}
)

# print((historical_data))

with blp.BlpQuery() as bq:
    df = bq.bdh(
        ["GME US Equity"],
        ["PX_LAST", "VOLUME"],
        start_date="20210101",
        end_date="20210130",
    )
# print(df)

# this_bql = bquery.bql("get(px_last) for(['IBM US Equity', 'AAPL US Equity'])")
# print((this_bql))