I don't know Italian, but I do know maths, and a bit about fitting curves to data in particular. As far as I can see the author has simply assumed a power-law relationship between I(number of addresses) and P(price). In other words P=k*I^n, where k and n are constants to be found by data mining. He has done this in the standard way, by finding the best-fit line you get on a log-log plot. He gets n~=2.26 and k~=e^-26 (incidentally you may as well just give k as a very small number, there's no benefit in putting it in terms of e).
It's interesting but I don't know if it has much predictive power. But kudos for putting some maths into this stuff, we don't see enough of that in price speculation threads.
It's interesting but I don't know if it has much predictive power. But kudos for putting some maths into this stuff, we don't see enough of that in price speculation threads.
please take a look at process and assumption I used for the equation
here the google translator link of the thread:
Update: added italian translation link at the end of the post.
" and prefers to publish his studies in italian only.