def add_volume_ta(df: pd.DataFrame,
high: str,
low: str,
close: str,
volume: str,
fillna: bool = False,
colprefix: str = ""):
"""Add volume technical analysis features to dataframe.
Args:
df (pandas.core.frame.DataFrame): Dataframe base.
high (str): Name of 'high' column.
low (str): Name of 'low' column.
close (str): Name of 'close' column.
volume (str): Name of 'volume' column.
fillna(bool): if True, fill nan values.
colprefix(str): Prefix column names inserted
Returns:
pandas.core.frame.DataFrame: Dataframe with new features.
"""
# Accumulation Distribution Index
df[f'{colprefix}volume_adi'] = AccDistIndexIndicator(
high=df[high],
low=df[low],
close=df[close],
volume=df[volume],
fillna=fillna).acc_dist_index()
# On Balance Volume
df[f'{colprefix}volume_obv'] = OnBalanceVolumeIndicator(
close=df[close], volume=df[volume], fillna=fillna).on_balance_volume()
# Chaikin Money Flow
df[f'{colprefix}volume_cmf'] = ChaikinMoneyFlowIndicator(
high=df[high],
low=df[low],
close=df[close],
volume=df[volume],
fillna=fillna).chaikin_money_flow()
# Force Index
df[f'{colprefix}volume_fi'] = ForceIndexIndicator(
close=df[close], volume=df[volume], fillna=fillna).force_index()
# Ease of Movement
indicator = EaseOfMovementIndicator(high=df[high],
low=df[low],
volume=df[volume],
n=14,
fillna=fillna)
df[f'{colprefix}volume_em'] = indicator.ease_of_movement()
df[f'{colprefix}volume_sma_em'] = indicator.sma_ease_of_movement()
# Volume Price Trend
df[f'{colprefix}volume_vpt'] = VolumePriceTrendIndicator(
close=df[close], volume=df[volume],
fillna=fillna).volume_price_trend()
# Negative Volume Index
df[f'{colprefix}volume_nvi'] = NegativeVolumeIndexIndicator(
close=df[close], volume=df[volume],
fillna=fillna).negative_volume_index()
return df
