mplfinance_5.py

# Stochastic
def Stochastic(df, window, smooth_window):
    stochastic = pd.DataFrame()
    stochastic['%K'] = ((df['Close'] - df['Low'].rolling(window).min()) \
                        / (df['High'].rolling(window).max() - df['Low'].rolling(window).min())) * 100
    stochastic['%D'] = stochastic['%K'].rolling(smooth_window).mean()
    stochastic['%SD'] = stochastic['%D'].rolling(smooth_window).mean()
    stochastic['UL'] = 80
    stochastic['DL'] = 20
    return stochastic

stochastic = Stochastic(df, 14, 3)
stochastic_plot  = [
    mpf.make_addplot((stochastic[['%K', '%D', '%SD', 'UL', 'DL']]), ylim=[0, 100], panel=2, ylabel='Stoch')
]

mpf.plot(df, type='candle', volume=True, addplot=stochastic_plot)