At the end of the ~4-year halving period starting in April 2024, I will access Google Finance to get a time series which gives, for every day over the course of this halving period, the quantity

ln((Price of BTC/USD on that day)/(Price of BTC/USD on 2024 halving date))

I will run a linear regression on this data.

The linear regression will have a few components (where t is the fraction of the halving period which has elapsed):

• A constant component (1).

• A linear component, scaling linearly with the time (t).

• A component of the form cos(2 pi t),

• A similar component of the form sin(2 pi t).

So in total

b1 + b2 t + b3 cos(2pi t) + b4 sin (2pi t)

I will resolve the answers proportionally to the square of their coefficients in this regression.