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…