mirror of
https://github.com/OpenBB-finance/OpenBB.git
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78f110b389
* Add lookup commands * main ETF commands * Add technical analysis to ETF * add prediction techniques to ETF * add comparison analysis to etf * allow to select nr of holdings on load * add shold and summary commands to ETF * minor improvs * screener on ETF menu * add etf/scr wsj commands * readd compare command * add sbc to etf/screener * rename chold and shold * fix rogue etf and reset * minor corrections * minor menu print improv * legend of weights and title of plot * refactor screener to screener and disc on ETF * add ETF scripts
55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
"""Yahoo Finance model"""
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__docformat__ = "numpy"
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from typing import Dict
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import yfinance as yf
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def get_etf_sector_weightings(name: str) -> Dict:
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"""Return sector weightings allocation of ETF. [Source: Yahoo Finance]
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Parameters
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----------
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name: str
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ETF name
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Returns
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----------
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Dict
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Dictionary with sector weightings allocation
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"""
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weights = yf.Ticker(name).info
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if "sectorWeightings" in weights:
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sectors = {}
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for item in weights["sectorWeightings"]:
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k = list(item.keys())[0].replace("_", " ").title()
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k = "Real Estate" if k == "Realestate" else k
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v = round(100 * list(item.values())[0], 2)
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sectors[k] = v
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sectors = dict(sorted(sectors.items(), key=lambda x: x[1], reverse=True))
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return sectors
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return dict()
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def get_etf_summary_description(name: str) -> str:
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"""Return summary description of ETF. [Source: Yahoo Finance]
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Parameters
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----------
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name: str
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ETF name
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Returns
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----------
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str
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Summary description of the ETF
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"""
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data = yf.Ticker(name).info
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if "longBusinessSummary" in data:
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return data["longBusinessSummary"]
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return ""
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