Unable to predict sudden spike

Trying with 1600+ data with log based normaliation.

```
m = Prophet(changepoint_range=1, changepoint_prior_scale=0.9, interval_width=0.90, seasonality_mode = 'additive',
daily_seasonality=False)
m.add_seasonality(name='monthly', period=30.5, fourier_order=5)
m.add_country_holidays(country_name='JP')
model = m.fit(df_p_gr_d_log)

future = m.make_future_dataframe(periods=30,freq='D')
forecast = m.predict(future)
forecast.head()
```

But the problem here is its unable to preddict high/sudden spikes. thats why I am getting bad result (MAPE is : 32.594314182549475).
the graph [link ] where (https://ibb.co/19Jv0qq)blue line indicates forecast and orange for prediction.