Use data and science to make a prediction that can later be validated
Propose potential outcomes and their probabilities (alternate scenarios)
Set a context and prediction timeline
Validate your prediction or adjust a prediction over time with verification and future data
Missing a forecast is ok if you provide good reasons why the initial forecast was wrong. Also important to use the learning to update future predictions
Financial Analysis Traps
Some financial forecasters make the same prediction year over year. Eventually they are right - and they build their careers around that. This is not very helpful during the majority of time when they are wrong