Question: how many data points are enough for time series analysis?
Answer: It depends on the modelling approach that you plan to use and the purpose of your analysis. For autoregressive integrated moving average (ARIMA) models, the rule of thumb is that you should have at least 50 but preferably more than 100 observations (Box and Tiao 1975).