# Time Series Anomaly Detection Overfitting

If the goal is anomaly detection on time series data, then over-fitting my forecast model on the data is just what I want. If the historical data is fit really well, then I should expect some error from this over-fit model to be large enough to signal an anomaly. Is this true? If not, why so?