Comparison

Portfolios


       Viktoria Kurpas  
Viktoria Kurpas2183075, in rank since 2018
11 place, rank 244
in the top 96 vectors num.

       miniwide  
miniwide2064455, in rank since 2013
71 place, rank 61
in the top 25 vectors num.

       GoodStudio  
GoodStudio168704810, in rank since 2016
1 place, rank 1232
in the top 482 vectors num.

       MicroOne  
MicroOne4153921, in rank since 2016
161 place, rank 29.01
in the top 12 vectors num.

       Macrovector  
Macrovector1816916, in rank since 2013
89 place, rank 50.8
in the top 20 vectors num.

Today

Rank

200400600800100012001400
 24461123229.0150.8
 -247-65.1-1208-52.4-149

Vectors totally

1000020000300004000050000600007000080000
 18996998174511890270804
 0+39+108+49+532

Vectors in the top

70140210280350420490
 96254821220
 -98-32-491-38-125

Marketability

0.020.040.060.080.10.120.14
 0.130.00870.070.00150.0007
%%→-100-100-100-100-100
— under the columns is shown the dynamics per week



Rank

The sum of ranks of all vectors of the portfolio in the top.
010020030040050060070080090010001100120013001400sepoctnovdec2021febmaraprmayjun252627282930jul234567891011121314

Rank dynamics

-60-40-2002040
Per day:
-244
-61
-1232
-29.01
-50.8
week:
-247
-65.1
-1208
-52.4
-149
30 days:
-256
-84.9
-1234
-67.7
-122
Now
244
61
1232
29.01
50.8




Total amount of vectors

Updated twice a week, ie may be a minor gap.
05000100001500020000250003000035000400004500050000550006000065000700007500080000sepoctnovdec2021febmaraprmayjun252627282930jul234567891011121314

Dynamics of the number of vectors

3006009001200150018002100
Per week:
0
+39
+108
+49
+532
30 days:
0
+114
+404
+199
+2070
Now
1899
6998
17451
18902
70804




The number of vectors in the top

050100150200250300350400450500550600sepoctnovdec2021febmaraprmayjun252627282930jul234567891011121314

Dynamics of number of vectors in the top

-75-60-45-30-1501530
Per day:
-96
-25
-482
-12
-20
week:
-98
-32
-491
-38
-125
30 days:
-101
-40
-490
-49
-105
Now
96
25
482
12
20




Marketability

Coefficient of average popularity of the vector in the portfolio.
Mathematically, this is the portfolio’s rating divided by the number of vectors in the portfolio.
00.010.020.030.040.050.060.070.080.090.10.110.120.130.140.150.160.170.180.190.20.210.220.230.24sepoctnovdec2021febmaraprmayjun252627282930jul234567891011121314

Marketability dynamics

-0.00525-0.0035-0.0017500.001750.00350.005250.007
Per day, %:
-100
-100
-100
-100
-100
week, %:
-100
-100
-100
-100
-100
30 days, %:
-100
-100
-100
-100
-100
Now
0.13
0.01
0.07
0
0