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876d1aab3e
* Finnhub and finbrain fns * Twitter menu (forex/ba adjusted) * Google menu * Reddit menu pt1 * Reddit commands * Stocktwits commands * Sentimentinvestor commands * Update crypto-dd * Review pt 1 * Hugo server * Review comments - get rid of all prints/errors in model...
79 lines
1.7 KiB
Python
79 lines
1.7 KiB
Python
"""Google Model"""
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__docformat__ = "numpy"
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import pandas as pd
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from pytrends.request import TrendReq
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def get_mentions(ticker: str) -> pd.DataFrame:
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"""Get interest over time from google api [Source: google]
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Parameters
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----------
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ticker : str
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Stock ticker
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Returns
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-------
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pd.DataFrame
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Dataframe of interest over time
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"""
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pytrend = TrendReq()
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pytrend.build_payload(kw_list=[ticker])
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return pytrend.interest_over_time()
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def get_regions(ticker: str) -> pd.DataFrame:
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"""Get interest by region from google api [Source: google]
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Parameters
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----------
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ticker : str
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Ticker to look at
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Returns
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-------
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pd.DataFrame
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Dataframe of interest by region
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"""
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pytrend = TrendReq()
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pytrend.build_payload(kw_list=[ticker])
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return pytrend.interest_by_region()
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def get_queries(ticker: str) -> pd.DataFrame:
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"""Get related queries from google api [Source: google]
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Parameters
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----------
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ticker : str
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Stock ticker to compare
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Returns
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-------
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pd.DataFrame
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Dataframe of related queries
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"""
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pytrend = TrendReq()
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pytrend.build_payload(kw_list=[ticker])
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return pytrend.related_queries()
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def get_rise(ticker: str) -> pd.DataFrame:
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"""Get top rising related queries with this stock's query [Source: google]
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Parameters
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----------
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ticker : str
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Stock ticker
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Returns
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-------
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pd.DataFrame
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Dataframe containing rising related queries
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"""
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pytrend = TrendReq()
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pytrend.build_payload(kw_list=[ticker])
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df_related_queries = pytrend.related_queries()
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return df_related_queries[ticker]["rising"]
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