Contents
CryptoInfer Documents
Signed to absolute variation fraction (SAVF)
SAVF is defined by
SAVF= sum of signed variations sum of absolute variations

Let pi be the close price at day i , then up to day n, we have

SAVF= i = 2 n (pi-pi-1) i = 2 n |pi-pi-1| .

When the price strictly increases without any decrease, it equals 1 and when the price decreases strictly it equals -1. Values near zero indicates that the price has very variations that are not aligned to its overal direct. You can sort the crypto list based on SAVF.

Average price growth per month (APGM)

APGM means the average growth of price per month. Let p1 be the price at the start time and p2 be the price after n months, then APGM is computed by the following relation.

APGM= (exp ( 1n * ( log p2 p1 )) - 1 ) * 100.

For crypto with more than six months data, the start price is considered to be the mean of daily close prices of its first six months. This scenario for start price removes unstable starting prices. You can sort crypto list based on APGM on the homepage.

Maximum variation in the last year (MVLY)

MVLY finds the the farthermost price in the last year (last 365 days) from the current price (last day average). It shows how much percent atmost the price increased or decreased in the last year. If the price increased, MVLY is positive and if the price decreased, MVLY is negative. You can sort crypto list based on MVLY on the homepage. Let pc be the average price of the last day, then we first find the day j which its average price is the farthermost from the current price, that is

j=Arg maxiin last year |pc-pi|.

Then, the MVLY is computed by

MVLY=sign*| pc-pjpj |*100,

where "sign" is +1 when pc> pj and equals -1 when pc< pj, and j is defined above.

Estimation of the next week variation (ENWV)

ENWV shows the estimation of the maximum variation in the next week from the price at the begining of the period. The begining time is the last midnight. The estimation is based on neural network models. You can sort crypto list based on ENWV on the homepage.