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https://github.com/OpenBB-finance/OpenBB.git
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* 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
74 lines
1.7 KiB
Python
74 lines
1.7 KiB
Python
"""Finance Database model"""
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__docformat__ = "numpy"
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from typing import Dict, List
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import financedatabase as fd
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def get_etfs_by_name(name: str) -> Dict:
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"""Return a selection of ETFs based on name filtered by total assets. [Source: Finance Database]
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Parameters
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----------
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name: str
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Search by name to find ETFs matching the criteria.
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Returns
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----------
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data : pd.DataFrame
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Dataframe with ETFs that match a certain name
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"""
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data = fd.select_etfs()
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data = fd.search_products(data, query=name, search="long_name")
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return data
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def get_etfs_by_description(description: str) -> Dict:
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"""Return a selection of ETFs based on description filtered by total assets. [Source: Finance Database]
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Parameters
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----------
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description: str
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Search by description to find ETFs matching the criteria.
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Returns
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----------
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data : pd.DataFrame
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Dataframe with ETFs that match a certain description
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"""
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data = fd.select_etfs()
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data = fd.search_products(data, query=description, search="summary")
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return data
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def get_etfs_by_category(category: str) -> Dict:
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"""Return a selection of ETFs based on category filtered by total assets. [Source: Finance Database]
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Parameters
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----------
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category: str
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Search by category to find ETFs matching the criteria.
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Returns
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----------
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data : pd.DataFrame
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Dataframe with ETFs that match a certain description
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"""
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data = fd.select_etfs(category=category)
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return data
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def get_etfs_categories() -> List[str]:
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"""Return a selection of ETF categories. [Source: Finance Database]
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Returns
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----------
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List[str]
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ETF categories
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"""
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return fd.show_options("etfs")
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