Revision as of 12:57, 11 January 2021 edit 5.169.234.96 (talk) removed comment and a section all leading to self-promoting commercial sites Tag: references removed ← Previous edit		Revision as of 13:00, 11 January 2021 edit undo 5.169.234.96 (talk) →Integration with time series databases: not encyclopedic and unsourced Next edit →
Line 66: Time series data provides a historical context to the analysis typically associated with complex event processing. This can apply to any vertical industry such as finance<ref>{{cite web\|url=http://cs.nyu.edu/shasha/papers/jagtalk.html\|title=Time Series in Finance\|website=cs.nyu.edu}}</ref> and cooperatively with other technologies such as BPM. Consider the scenario in finance where there is a need to understand historic price volatility to determine statistical thresholds of future price movements. This is helpful for both trade models and transaction cost analysis. The ideal case for CEP analysis is to view historical time series and real-time streaming data as a single time continuum. What happened yesterday, last week or last month is simply an extension of what is occurring today and what may occur in the future. An example may involve comparing current market volumes to historic volumes, prices and volatility for trade execution logic. Or the need to act upon live market prices may involve comparisons to benchmarks that include sector and index movements, whose intra-day and historic trends gauge volatility and smooth outliers.

Complex event processing: Difference between revisions