So basically MA does scenario analysis, like everyone else in the finance industry.
Yup. But has mountains of data going back to the start of human civilization and an A.I. computer model constructed from that data, which enables him to pull order out-of-chaos that other analysts see only as noise or a random walk.
I repeat this quote again:
Please note (and also in reference to thaaanos' post below) that no one can know what is the noise and what is the data, because in unbounded entropy no one can know a total ordering and predict the future precisely enough to know how to organize the mutations. Without friction and a finite speed-of-light, 0 entropy and infinite entropy would be indistinguishable and the game collapses. Martin Armstrong can find higher dimensions of order (repeating cycle patterns) in the chaotic interaction of a plurality of interacting cycles (Butterfly effects) which has been named the Strange Attractor in Lorentz's famous and widely respected Chaos Theory. So he can determine timings on repeating cycles, but he can't tell nature which mutations which adapt to the future because he can't know all the details about the future. He can see one partial ordering which is more informational than than those who don't compile and multi-dimensionally inspect as much data as he claims.