feature_extractors/ta.py

import pandas_ta as ta
import pandas as pd
from feature_extractors.utils import get_close_low_high


def feature_EBSW(df: pd.DataFrame, period: int) -> pd.Series:
    close, low, high = get_close_low_high(df)

    return ta.ebsw(close, period)
feat(Data): added daily_glassnode DataCollection (#99 ) 2022-01-03 13:57:36 +01:00			`import pandas_ta as ta`
			`import pandas as pd`
			`from feature_extractors.utils import get_close_low_high`

chore(Linter): reformatted code with black (#211 ) 2022-02-17 19:22:17 +01:00
feat(Events): added EventFilter, EventLabeller (#186 ) 2022-01-26 23:22:43 +01:00			`def feature_EBSW(df: pd.DataFrame, period: int) -> pd.Series:`
feat(Data): added daily_glassnode DataCollection (#99 ) 2022-01-03 13:57:36 +01:00			`close, low, high = get_close_low_high(df)`

			`return ta.ebsw(close, period)`