The Encyclopedia of Trading Strategies is for traders who want to take the next step to consistently profitable trading. The authors--themselves seasoned veterans of the futures trading arena--pinpoint the trading methods and strategies that have been shown to produce market-beating returns. Their rigorous and systematic backtesting of each method, using the same sets of markets and analytic techniques, provides a scientific, system-based approach to system development...to help you assemble the trading system that will put you on the road to becoming a more consistently profitable trader.
Tags: futures trading, analytic techniques, backtesting, system
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CSO Senior Data Analyst: Research In Motion Limited (RIM) (Waterloo ON): "…analytic techniques, familiarity wi…
You say that the key performance metric is detection accuracy and detection confidence.
Most half decent Business Intelligence based application vendors already have most of the basic tools to perform advanced analytics on data sets. In the mobile telco world, call data is analysed for revenue leakage – essentially a detection confidence problem using advanced analytics. Following the logic in your recent posts, this meets your description of CEP.
I believe that CEP is particularly good in dealing with “windows' of events/data. If there's no “window”, then I don't think I'd bother using CEP to solve the problem – I'd stick with existing analytic techniques. But because most use cases involve a window (either of time or of volume), you'll see that the sorts of problems that it is really good at addressing are ones that involve either rapidly changing data, or large volumes of data.
So I'd suggest that while CEP doesn't have to be applied to a problem involving an aspect of volume or latency, I can't see why I'd bother with CEP unless it did.
Brian
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