Computational Intelligence and the "Verne Cycle"

As much as I lover spreadsheets, databases, data-mining, and neural networks, one of the biggest problems we keep stumbling toward (as technology continues to run-ahead of gray matter) really comes down to one ugly question:

Assume you have all the computational horsepower on the planet. 

Given this, what would your methodology be to design a profitable trading tool?

Computational investment algorithms aren’t a lightweight topic for a Peoplenomics report (far more complicated that robust home power or bug-out bags for preppers) but they do present…uh….certain challenges that are intriguing.  So this morning’s discourse will will attack the high-level review design problem. 

After coffee, headlines, and our trusty trading model review…

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