Trading_indicators.py

# Create a column by name, SMA and assign the SMA calculation to it
df['SMA'] = df['Close'].shift(1).rolling(window=n).mean()

# Create a column by name, Corr and assign the calculation of correlation to it
df['Corr'] = df['Close'].shift(1).rolling(window=n).corr(df['SMA'].shift(1))

# Create a column by name, SAR and assign the SAR calculation to it
df['SAR'] = ta.SAR(np.array(df['High'].shift(1)), np.array(df['Low'].shift(1)),
                   0.2, 0.2)

# Create a column by name, ADX and assign the ADX calculation to it
df['ADX'] = ta.ADX(np.array(df['High'].shift(1)), np.array(df['Low'].shift(1)),
                   np.array(df['Open']), timeperiod=n)

df