Squirro’s trend detection engine was originally developed for anomaly and trend detection in operational data such as our Service Insights proposition applied to ITSM environments, like ServiceNow.
Here’s a try to apply the engine to time series data normally referred to as stock price data. In this example we took the last 7 years of Salesforce stock price data.
We run both a prediction from today May 2017 onwards and one to compare what the engine predicted a year ago (May 2016) for today. Here’s the result for the May 2016 prediction: The engine predicted the price for May 30 2017 to be 84.63 with a maximum threshold of 98.31. The stock price per last Friday’s (May 26, 2017) close was 90.83…
But check yourself:
Dashboard 1 – Salesforce Share Trading
- Share volumes & prices 2010-2017
- Squirro’s price trend prediction May 17 forward
- http://go.squirro.com/crm_prediction
Dashboard 2 – Price Trend Comparison
- Share price for the period Jan 15 to May 17
- Squirro price trend trend prediction with data input cut-off set to May 30, 2016
- http://go.squirro.com/crm_compare
