Modeling Dogecoin
No.12654757 ViewReplyOriginalReport
Quoted By: >>12654796 >>12654802 >>12655358 >>12655382
I'm a physicist trying to work out a system of diffyQs to predict Doge, to complete the system I need to know why does it sell less than it costs and what determines that proportion.
I'll post what I've cooked up so you know I'm not larping:
>Rate of change of D value
1)Is inversely proportional to current value if current value is less than it was a bit of time ago (if the difference is negative)
2)Is directly proportional to current value if current value is more than it was a bit of time ago (if difference is positive)
3)Is directly proportional to the weighted average of Dogecoin posts in diferent social media platforms
4)Is inversely proportional to the rate of Dogecoin sells
5)The rate of dogecoin sells is directly proportional to difference mentioned in 1)
6)Is inversely proportional to the time between it's media coverage peaks and it's current time
There is more to work through to beat out the inconsistencies and kinks of this model, after that it's just a question of tinkering with the coefficients to fit known data, any actuarial sciencence majors and diffy Q enthusiasts are welcome to gie this a shot.
I'll post what I've cooked up so you know I'm not larping:
>Rate of change of D value
1)Is inversely proportional to current value if current value is less than it was a bit of time ago (if the difference is negative)
2)Is directly proportional to current value if current value is more than it was a bit of time ago (if difference is positive)
3)Is directly proportional to the weighted average of Dogecoin posts in diferent social media platforms
4)Is inversely proportional to the rate of Dogecoin sells
5)The rate of dogecoin sells is directly proportional to difference mentioned in 1)
6)Is inversely proportional to the time between it's media coverage peaks and it's current time
There is more to work through to beat out the inconsistencies and kinks of this model, after that it's just a question of tinkering with the coefficients to fit known data, any actuarial sciencence majors and diffy Q enthusiasts are welcome to gie this a shot.
