Member sentiment report
When utilizing the member sentiment I often find variable number of judgments that are clearly outliers. Recently in SBUX I saw a High PE's of 1582, a number of Payouts above 1500 (yes 1500), and a number of low PE's over 900. the unedited averages were High PE 45.8, Lo PE 163.9, payout of 876, with a potential return of 43.8. Really?
With 493 studies (could these really be called studies?) it is very labor intensive to go through the studies line by line to remove the outliers. There must be a way to throw out judgements that vary to far from the average.
The March 2023 update has a feature to automatically remove outliers.
Maybe an algorithm that strikes out any PE ratio, Payout ratio or impossibly high growth rates, maybe larger than three times the average.
Herb Barnett commented
A recent comment suggested that the columns in the Member Sentiment Report should be sortable. This would ease the task of eliminating the entries that we consider outliers. The ability to sort the columns would be a significant benefit when using the MSReport.