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        "description": "# xbbg\n\n|                |                                                                                                                                                      |\n| -------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Latest Release | [![PyPI version](https://img.shields.io/pypi/v/xbbg.svg)](https://badge.fury.io/py/xbbg)                                                             |\n|                | [![PyPI version](https://img.shields.io/pypi/pyversions/xbbg.svg)](https://badge.fury.io/py/xbbg)                                                    |\n| Docs           | [![Documentation Status](https://readthedocs.org/projects/xbbg/badge/?version=latest)](https://xbbg.readthedocs.io/en/latest)                        |\n| Build          | [![Travis CI](https://img.shields.io/travis/alpha-xone/xbbg/master.svg?logo=travis&label=Travis%20CI)](https://travis-ci.com/alpha-xone/xbbg)        |\n|                | [![Azure](https://dev.azure.com/alpha-xone/xbbg/_apis/build/status/alpha-xone.xbbg)](https://dev.azure.com/alpha-xone/xbbg/_build)                   |\n| Coverage       | [![codecov](https://codecov.io/gh/alpha-xone/xbbg/branch/master/graph/badge.svg)](https://codecov.io/gh/alpha-xone/xbbg)                             |\n| Quality        | [![Codacy Badge](https://api.codacy.com/project/badge/Grade/2ec89be198cf4689a6a6c6407b0bc965)](https://www.codacy.com/app/alpha-xone/xbbg)           |\n|                | [![CodeFactor](https://www.codefactor.io/repository/github/alpha-xone/xbbg/badge)](https://www.codefactor.io/repository/github/alpha-xone/xbbg)      |\n|                | [![codebeat badge](https://codebeat.co/badges/eef1f14d-72eb-445a-af53-12d3565385ec)](https://codebeat.co/projects/github-com-alpha-xone-xbbg-master) |\n| License        | [![GitHub license](https://img.shields.io/github/license/alpha-xone/xbbg.svg)](https://github.com/alpha-xone/xbbg/blob/master/LICENSE)               |\n\nBloomberg data toolkit for humans\n\n## Requirements\n\n- Bloomberg C++ SDK version 3.12.1 or higher:\n\n    - [Bloomberg API Library](https://www.bloomberg.com/professional/support/api-library/)\n\n    - Downlaod C++ Experimental Release\n\n    - Copy `blpapi3_32.dll` and `blpapi3_64.dll` under `bin` \n      folder to Bloomberg `BLPAPI_ROOT` folder, normally `blp/DAPI`\n\n- Bloomberg Open API (need to install manually as shown below)\n\n- [pdblp](https://github.com/matthewgilbert/pdblp) - pandas wrapper for Bloomberg Open API\n\n- numpy, pandas, ruamel.yaml and pyarrow\n\n## Installation\n\n```cmd\npip install blpapi --index-url=https://bloomberg.bintray.com/pip/simple\npip install xbbg\n```\n\n## What's New\n\n_0.1.22_ - Remove PyYAML dependency due to security vulnerability\n\n_0.1.17_ - Add `adjust` argument in `bdh` for easier dividend / split adjustments\n\n## Tutorial\n\n```python\nIn[1]: from xbbg import blp\n```\n\n### Basics\n\n- ``BDP`` example:\n\n```python\nIn[2]: blp.bdp(tickers='NVDA US Equity', flds=['Security_Name', 'GICS_Sector_Name'])\n```\n\n```pydocstring\nOut[2]:\n               security_name        gics_sector_name\nticker\nNVDA US Equity   NVIDIA Corp  Information Technology\n```\n\n- ``BDP`` with overrides:\n\n```python\nIn[3]: blp.bdp('AAPL US Equity', 'Eqy_Weighted_Avg_Px', VWAP_Dt='20181224')\n```\n\n```pydocstring\nOut[3]: \n                eqy_weighted_avg_px\nticker\nAAPL US Equity               148.75\n```\n\n- ``BDH`` example:\n\n```python\nIn[4]: blp.bdh(\n  ...:     tickers='SPX Index', flds=['high', 'low', 'last_price'],\n  ...:     start_date='2018-10-10', end_date='2018-10-20',\n  ...: )\n```\n\n```pydocstring\nOut[4]:\nticker     SPX Index\nfield           high      low last_price\n2018-10-10  2,874.02 2,784.86   2,785.68\n2018-10-11  2,795.14 2,710.51   2,728.37\n2018-10-12  2,775.77 2,729.44   2,767.13\n2018-10-15  2,775.99 2,749.03   2,750.79\n2018-10-16  2,813.46 2,766.91   2,809.92\n2018-10-17  2,816.94 2,781.81   2,809.21\n2018-10-18  2,806.04 2,755.18   2,768.78\n2018-10-19  2,797.77 2,760.27   2,767.78\n```\n\n- ``BDH`` example with Excel compatible inputs:\n\n```python\nIn[4]: blp.bdh(\n  ...:     tickers='SHCOMP Index', flds=['high', 'low', 'last_price'],\n  ...:     start_date='2018-09-26', end_date='2018-10-20',\n  ...:     Per='W', Fill='P', Days='A',\n  ...: )\n```\n\n```pydocstring\nOut[4]:\nticker     SHCOMP Index\nfield              high      low last_price\n2018-09-28     2,827.34 2,771.16   2,821.35\n2018-10-05     2,827.34 2,771.16   2,821.35\n2018-10-12     2,771.94 2,536.66   2,606.91\n2018-10-19     2,611.97 2,449.20   2,550.47\n```\n\n- ``BDH`` without adjustment for dividends and splits:\n\n```python\nIn[5]: blp.bdh(\n  ...:     'AAPL US Equity', 'px_last', '20140605', '20140610',\n  ...:     CshAdjNormal=False, CshAdjAbnormal=False, CapChg=False\n  ...: )\n```\n\n```pydocstring\nOut[5]: \nticker     AAPL US Equity\nfield             px_last\n2014-06-05         647.35\n2014-06-06         645.57\n2014-06-09          93.70\n2014-06-10          94.25\n```\n\n- ``BDH`` adjusted for dividends and splits:\n\n```python\nIn[6]: blp.bdh(\n  ...:     'AAPL US Equity', 'px_last', '20140605', '20140610',\n  ...:     CshAdjNormal=True, CshAdjAbnormal=True, CapChg=True\n  ...: )\n```\n\n```pydocstring\nOut[6]:\nticker     AAPL US Equity\nfield             px_last\n2014-06-05          85.45\n2014-06-06          85.22\n2014-06-09          86.58\n2014-06-10          87.09\n```\n\n- ``BDS`` example:\n\n```python\nIn[7]: blp.bds('AAPL US Equity', 'DVD_Hist_All', DVD_Start_Dt='20180101', DVD_End_Dt='20180531')\n```\n\n```pydocstring\nOut[7]:\n               declared_date     ex_date record_date payable_date  dividend_amount dividend_frequency dividend_type\nticker\nAAPL US Equity    2018-05-01  2018-05-11  2018-05-14   2018-05-17             0.73            Quarter  Regular Cash\nAAPL US Equity    2018-02-01  2018-02-09  2018-02-12   2018-02-15             0.63            Quarter  Regular Cash\n```\n\n- Intraday bars ``BDIB`` example:\n\n```python\nIn[8]: blp.bdib(ticker='BHP AU Equity', dt='2018-10-17').tail()\n```\n\n```pydocstring\nOut[8]:\nticker                    BHP AU Equity\nfield                              open  high   low close   volume num_trds\n2018-10-17 15:56:00+11:00         33.62 33.65 33.62 33.64    16660      126\n2018-10-17 15:57:00+11:00         33.65 33.65 33.63 33.64    13875      156\n2018-10-17 15:58:00+11:00         33.64 33.65 33.62 33.63    16244      159\n2018-10-17 15:59:00+11:00         33.63 33.63 33.61 33.62    16507      167\n2018-10-17 16:10:00+11:00         33.66 33.66 33.66 33.66  1115523      216\n```\n\nAbove example works because 1) `AU` in equity ticker is mapped to `EquityAustralia` in\n`markets/assets.yml`, and 2) `EquityAustralia` is defined in `markets/exch.yml`.\nTo add new mappings, define `BBG_ROOT` in sys path and add `assets.yml` and \n`exch.yml` under `BBG_ROOT/markets`.\n\n- Intraday bars within market session:\n\n```python\nIn[9]: blp.intraday(ticker='7974 JT Equity', dt='2018-10-17', session='am_open_30').tail()\n```\n\n```pydocstring\nOut[9]:\nticker                    7974 JT Equity\nfield                               open      high       low     close volume num_trds\n2018-10-17 09:27:00+09:00      39,970.00 40,020.00 39,970.00 39,990.00  10800       44\n2018-10-17 09:28:00+09:00      39,990.00 40,020.00 39,980.00 39,980.00   6300       33\n2018-10-17 09:29:00+09:00      39,970.00 40,000.00 39,960.00 39,970.00   3300       21\n2018-10-17 09:30:00+09:00      39,960.00 40,010.00 39,950.00 40,000.00   3100       19\n2018-10-17 09:31:00+09:00      39,990.00 40,000.00 39,980.00 39,990.00   2000       15\n```\n\n- Corporate earnings:\n\n```python\nIn[10]: blp.earning('AMD US Equity', by='Geo', Eqy_Fund_Year=2017, Number_Of_Periods=1)\n```\n\n```pydocstring\nOut[10]:\n                 level    fy2017  fy2017_pct\nAsia-Pacific      1.00  3,540.00       66.43\n    China         2.00  1,747.00       49.35\n    Japan         2.00  1,242.00       35.08\n    Singapore     2.00    551.00       15.56\nUnited States     1.00  1,364.00       25.60\nEurope            1.00    263.00        4.94\nOther Countries   1.00    162.00        3.04\n```\n\n- Dividends:\n\n```python\nIn[11]: blp.dividend(['C US Equity', 'MS US Equity'], start_date='2018-01-01', end_date='2018-05-01')\n```\n\n```pydocstring\nOut[11]:\n                dec_date     ex_date    rec_date    pay_date  dvd_amt dvd_freq      dvd_type\nticker\nC US Equity   2018-01-18  2018-02-02  2018-02-05  2018-02-23     0.32  Quarter  Regular Cash\nMS US Equity  2018-04-18  2018-04-27  2018-04-30  2018-05-15     0.25  Quarter  Regular Cash\nMS US Equity  2018-01-18  2018-01-30  2018-01-31  2018-02-15     0.25  Quarter  Regular Cash\n```\n\n-----\n\n*New in 0.1.17* - Dividend adjustment can be simplified to one parameter `adjust`:\n\n- ``BDH`` without adjustment for dividends and splits:\n\n```python\nIn[12]: blp.bdh('AAPL US Equity', 'px_last', '20140606', '20140609', adjust='-')\n```\n\n```pydocstring\nOut[12]:\nticker     AAPL US Equity\nfield             px_last\n2014-06-06         645.57\n2014-06-09          93.70\n```\n\n- ``BDH`` adjusted for dividends and splits:\n\n```python\nIn[13]: blp.bdh('AAPL US Equity', 'px_last', '20140606', '20140609', adjust='all')\n```\n\n```pydocstring\nOut[13]:\nticker     AAPL US Equity\nfield             px_last\n2014-06-06          85.22\n2014-06-09          86.58\n```\n\n### Optimizations\n\nThis library uses a global Bloomberg connection on the backend - \nmore specically, `_xcon_` in `globals()` variable.\nSince initiation of connections takes time, if multiple queries are expected,\nmanual creation of a new connection (which will be shared by all following queries)\nis helpful before calling any queries.\n\n- In command line, below command is helpful:\n\n```python\nfrom xbbg import blp\n\nblp.create_connection()\n```\n\n- For functions, wrapper function is recommended (connections will be destroyed afterwards):\n\n```python\nfrom xbbg import blp\n\n@blp.with_bloomberg\ndef query_bbg():\n    \"\"\"\n    All queries share the same connection\n    \"\"\"\n    blp.bdp(...)\n    blp.bdh(...)\n    blp.bdib(...)\n```\n\n### Data Storage\n\nIf `BBG_ROOT` is provided in `os.environ`, data can be saved locally.\nBy default, local storage is preferred than Bloomberg for all queries.\n\nNoted that local data usage must be compliant with Bloomberg Datafeed Addendum\n(full description in `DAPI<GO>`):\n\n> To access Bloomberg data via the API (and use that data in Microsoft Excel), \n> your company must sign the 'Datafeed Addendum' to the Bloomberg Agreement. \n> This legally binding contract describes the terms and conditions of your use \n> of the data and information available via the API (the \"Data\"). \n> The most fundamental requirement regarding your use of Data is that it cannot \n> leave the local PC you use to access the BLOOMBERG PROFESSIONAL service.",
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