Analysis of Thor Issues #83 to 175
Introduction and Material and Methods
In
order to isolate potential key issues to focus my investing efforts on, I used
a data analysis approach based on established values from two collecting
universes within in the run of the
silver age issues I gathered value data from a variety of sources representing
both serious investors (Insiders – I) and not serious investors (Outsiders-O).
This data is current as on 4/2015. I choose to keep my methodology and data
gathering proprietary at this time but I am giving my readers a simplified
representation of my data that I currently use for my decisions.
Results – Thor Issue #83 to 175
Table 1. Bias Scores (B SCORE) of All
Issues in the Run
RUN
|
Issue
|
B Score
|
RUN
|
Issue
|
B Score
|
|
Thor-JIM
|
#83
|
150146
|
Thor
|
#130
|
-306.8
|
|
Thor-JIM
|
#84
|
26728
|
Thor
|
#131
|
-352.8
|
|
Thor-JIM
|
#85
|
9323
|
Thor
|
#132
|
-466
|
|
Thor-JIM
|
#86
|
1658
|
Thor
|
#133
|
-274.2
|
|
Thor-JIM
|
#87
|
2295
|
Thor
|
#134
|
-162.2
|
|
Thor-JIM
|
#88
|
1709
|
Thor
|
#135
|
-390.6
|
|
Thor-JIM
|
#89
|
7106
|
Thor
|
#136
|
-380.8
|
|
Thor-JIM
|
#90
|
1288
|
Thor
|
#137
|
-175.8
|
|
Thor-JIM
|
#91
|
2210
|
Thor
|
#138
|
-438.8
|
|
Thor-JIM
|
#92
|
-26
|
Thor
|
#139
|
-401.8
|
|
Thor-JIM
|
#93
|
2422
|
Thor
|
#140
|
-412.8
|
|
Thor-JIM
|
#94
|
2940
|
Thor
|
#141
|
-460
|
|
Thor-JIM
|
#95
|
3549
|
Thor
|
#142
|
-370
|
|
Thor-JIM
|
#96
|
598
|
Thor
|
#143
|
-314
|
|
Thor-JIM
|
#97
|
211
|
Thor
|
#144
|
-419
|
|
Thor-JIM
|
#98
|
825
|
Thor
|
#145
|
-409
|
|
Thor-JIM
|
#99
|
-147.4
|
Thor
|
#146
|
-421.6
|
|
Thor-JIM
|
#100
|
643.6
|
Thor
|
#147
|
-367.4
|
|
Thor-JIM
|
#101
|
-264
|
Thor
|
#148
|
-403
|
|
Thor-JIM
|
#102
|
-322
|
Thor
|
#149
|
-263.4
|
|
Thor-JIM
|
#103
|
2204
|
Thor
|
#150
|
-417.6
|
|
Thor-JIM
|
#104
|
-51.4
|
Thor
|
#151
|
-387
|
|
Thor-JIM
|
#105
|
-249.4
|
Thor
|
#152
|
-422
|
|
Thor-JIM
|
#106
|
-28.4
|
Thor
|
#153
|
-417
|
|
Thor-JIM
|
#107
|
-206
|
Thor
|
#154
|
-378
|
|
Thor-JIM
|
#108
|
172.6
|
Thor
|
#155
|
-385
|
|
Thor-JIM
|
#109
|
230
|
Thor
|
#156
|
-425
|
|
Thor-JIM
|
#110
|
-193.4
|
Thor
|
#157
|
-408
|
|
Thor-JIM
|
#111
|
-26.4
|
Thor
|
#158
|
-446
|
|
Thor-JIM
|
#112
|
591
|
Thor
|
#159
|
-408
|
|
Thor-JIM
|
#113
|
-242.4
|
Thor
|
#160
|
-398.6
|
|
Thor-JIM
|
#114
|
448
|
Thor
|
#161
|
-392.2
|
|
Thor-JIM
|
#115
|
-58.4
|
Thor
|
#162
|
-385.2
|
|
Thor-JIM
|
#116
|
346.6
|
Thor
|
#163
|
-409.2
|
|
Thor-JIM
|
#117
|
-6.4
|
Thor
|
#164
|
-418.2
|
|
Thor-JIM
|
#118
|
-53
|
Thor
|
#165
|
230
|
|
Thor-JIM
|
#119
|
96
|
Thor
|
#166
|
-460
|
|
Thor-JIM
|
#120
|
-279
|
Thor
|
#167
|
-390.6
|
|
Thor-JIM
|
#121
|
-419
|
Thor
|
#168
|
-258
|
|
Thor-JIM
|
#122
|
-245
|
Thor
|
#169
|
-457
|
|
Thor-JIM
|
#123
|
-360
|
Thor
|
#170
|
-370.6
|
|
Thor-JIM
|
#124
|
-371
|
Thor
|
#171
|
-403
|
|
Thor-JIM
|
#125
|
-307
|
Thor
|
#172
|
-413.4
|
|
Thor
|
#126
|
388
|
Thor
|
#173
|
-373.4
|
|
Thor
|
#127
|
-365.8
|
Thor
|
#174
|
-408.4
|
|
Thor
|
#128
|
-216.8
|
Thor
|
#175
|
-359.4
|
|
Thor
|
#129
|
-197.8
|
Using the data based on
that described in the introduction, I calculated the I/O bias between the two
groups and adjusted the scores to account for the extreme issues (JIM 83). I
note the very high insider bias with dark purple and high bias using light
purple. Grey issues (if present) are on the watch list. Note the low plus/ low minus
numbers reflect a sight bias by the unsophisticated outsider group followed by
the more extreme biases. I use the Average followed by Std. Dev. as a guide into these cutoffs. (Note
the term guide). These numbers only refer to this data set unless I combine
multiple runs. So you can not draw conclusions between independent runs and
numbers throughout this blog. The data suggests a bias does exist within the
run and invites a deeper focus (see Tables 2 and 3).
Table 2.
I/O SLN numbers calculated for issues
RUN
|
ISSUE
|
I SLN
|
O SLN
|
RUN
|
ISSUE
|
I SLN
|
O SLN
|
|
Thor-JIM
|
#83
|
2376.13
|
1262.16
|
Thor
|
#130
|
3.35
|
5.05
|
|
Thor-JIM
|
#84
|
434.86
|
210.36
|
Thor
|
#131
|
2.44
|
5.05
|
|
Thor-JIM
|
#85
|
178.71
|
147.25
|
Thor
|
#132
|
1.46
|
5.26
|
|
Thor-JIM
|
#86
|
49.35
|
63.11
|
Thor
|
#133
|
3.58
|
5.47
|
|
Thor-JIM
|
#87
|
47.79
|
37.86
|
Thor
|
#134
|
5.27
|
5.47
|
|
Thor-JIM
|
#88
|
44.08
|
37.86
|
Thor
|
#135
|
2.52
|
5.89
|
|
Thor-JIM
|
#89
|
114.49
|
37.86
|
Thor
|
#136
|
2.28
|
5.05
|
|
Thor-JIM
|
#90
|
33.01
|
29.45
|
Thor
|
#137
|
4.69
|
5.05
|
|
Thor-JIM
|
#91
|
43.21
|
25.24
|
Thor
|
#138
|
1.53
|
5.05
|
|
Thor-JIM
|
#92
|
16.42
|
25.24
|
Thor
|
#139
|
1.96
|
5.05
|
|
Thor-JIM
|
#93
|
47.16
|
29.45
|
Thor
|
#140
|
1.78
|
5.05
|
|
Thor-JIM
|
#94
|
51.72
|
25.24
|
Thor
|
#141
|
1.41
|
4.21
|
|
Thor-JIM
|
#95
|
61.60
|
25.24
|
Thor
|
#142
|
2.02
|
4.21
|
|
Thor-JIM
|
#96
|
21.45
|
25.24
|
Thor
|
#143
|
2.72
|
4.21
|
|
Thor-JIM
|
#97
|
18.17
|
29.45
|
Thor
|
#144
|
1.48
|
4.21
|
|
Thor-JIM
|
#98
|
22.27
|
16.83
|
Thor
|
#145
|
1.61
|
4.21
|
|
Thor-JIM
|
#99
|
10.74
|
17.25
|
Thor
|
#146
|
2.02
|
3.79
|
|
Thor-JIM
|
#100
|
20.04
|
17.25
|
Thor
|
#147
|
2.10
|
3.58
|
|
Thor-JIM
|
#101
|
7.69
|
13.67
|
Thor
|
#148
|
2.28
|
6.31
|
|
Thor-JIM
|
#102
|
7.90
|
12.62
|
Thor
|
#149
|
3.02
|
3.58
|
|
Thor-JIM
|
#103
|
46.62
|
37.86
|
Thor
|
#150
|
1.33
|
3.79
|
|
Thor-JIM
|
#104
|
8.90
|
10.94
|
Thor
|
#151
|
1.56
|
3.16
|
|
Thor-JIM
|
#105
|
6.58
|
10.94
|
Thor
|
#152
|
1.06
|
3.16
|
|
Thor-JIM
|
#106
|
8.91
|
10.94
|
Thor
|
#153
|
1.12
|
3.16
|
|
Thor-JIM
|
#107
|
7.84
|
12.62
|
Thor
|
#154
|
1.67
|
3.16
|
|
Thor-JIM
|
#108
|
11.96
|
10.94
|
Thor
|
#155
|
1.64
|
3.16
|
|
Thor-JIM
|
#109
|
16.91
|
21.04
|
Thor
|
#156
|
1.02
|
3.16
|
|
Thor-JIM
|
#110
|
7.22
|
10.94
|
Thor
|
#157
|
1.23
|
3.16
|
|
Thor-JIM
|
#111
|
8.10
|
8.84
|
Thor
|
#158
|
1.46
|
4.21
|
|
Thor-JIM
|
#112
|
27.79
|
42.07
|
Thor
|
#159
|
1.23
|
3.16
|
|
Thor-JIM
|
#113
|
6.15
|
8.84
|
Thor
|
#160
|
1.81
|
3.79
|
|
Thor-JIM
|
#114
|
17.33
|
16.83
|
Thor
|
#161
|
1.72
|
3.37
|
|
Thor-JIM
|
#115
|
8.58
|
10.94
|
Thor
|
#162
|
1.69
|
3.37
|
|
Thor-JIM
|
#116
|
12.47
|
6.73
|
Thor
|
#163
|
1.27
|
3.37
|
|
Thor-JIM
|
#117
|
7.85
|
6.73
|
Thor
|
#164
|
1.10
|
3.37
|
|
Thor-JIM
|
#118
|
9.62
|
14.73
|
Thor
|
#165
|
16.48
|
10.52
|
|
Thor-JIM
|
#119
|
10.32
|
10.52
|
Thor
|
#166
|
2.04
|
5.26
|
|
Thor-JIM
|
#120
|
5.32
|
10.52
|
Thor
|
#167
|
1.35
|
2.73
|
|
Thor-JIM
|
#121
|
3.35
|
10.52
|
Thor
|
#168
|
3.89
|
3.16
|
|
Thor-JIM
|
#122
|
5.80
|
10.52
|
Thor
|
#169
|
1.12
|
3.16
|
|
Thor-JIM
|
#123
|
4.07
|
10.52
|
Thor
|
#170
|
1.53
|
2.73
|
|
Thor-JIM
|
#124
|
3.27
|
6.31
|
Thor
|
#171
|
1.36
|
3.16
|
|
Thor-JIM
|
#125
|
4.44
|
7.36
|
Thor
|
#172
|
0.80
|
2.46
|
|
Thor
|
#126
|
18.12
|
21.04
|
Thor
|
#173
|
1.30
|
2.46
|
|
Thor
|
#127
|
3.15
|
5.05
|
Thor
|
#174
|
0.86
|
2.46
|
|
Thor
|
#128
|
4.63
|
5.05
|
Thor
|
#175
|
1.53
|
2.46
|
|
Thor
|
#129
|
4.85
|
5.05
|
In
order to begin this deeper analysis I developed a measure called SLN. The SLN
looks at the slope of the values in both the I/O databases from 9.4 to 6 conditions.
Table 1 shows the SLN values of Thor Issue #83 to 175.
As
I look across the data landscape, I see a lot of positive biased issues to
focus your investments. I have added some more color indicators. Deep Green and
Light Green are denoting the issues with definite Insider Bias and are worthy
of further digging for investment choices. On the other hand, I denoted the
issues with Outsider Bias with Deep Red and Light Rose (none). I see an
interesting pattern in that most of the first issues of Thor, the JIM ones are mostly
in the green.
(I
note that extreme high grades equal or above 9.4 are always going to be valued
greatly by both groups just due to the rarity).
In
conclusion based on this data, I suggest the green (dark and light) issues are
the investment targets to focus on the highest grades possible while the red/rose/white
denoted issues are targets for much less if any focus except if Table 3 data
suggests otherwise.
Table 3. Adjusted Average Differences of
I/O Data at Selected Grades
Run
|
Issue
|
C9.4 ADF
|
C8 ADF
|
C6 ADF
|
Run
|
Issue
|
C9.4 ADF
|
C8 ADF
|
C6 ADF
|
|
Thor-JIM
|
#83
|
$$
|
XX
|
XX
|
Thor
|
#130
|
X
|
?
|
?
|
|
Thor-JIM
|
#84
|
$$
|
X
|
XX
|
Thor
|
#131
|
XX
|
?
|
?
|
|
Thor-JIM
|
#85
|
$$
|
XX
|
XX
|
Thor
|
#132
|
XX
|
?
|
?
|
|
Thor-JIM
|
#86
|
$$
|
XX
|
X
|
Thor
|
#133
|
X
|
?
|
?
|
|
Thor-JIM
|
#87
|
$$
|
X
|
X
|
Thor
|
#134
|
X
|
?
|
?
|
|
Thor-JIM
|
#88
|
$$
|
?
|
X
|
Thor
|
#135
|
XX
|
?
|
?
|
|
Thor-JIM
|
#89
|
$$
|
$$
|
?
|
Thor
|
#136
|
XX
|
?
|
?
|
|
Thor-JIM
|
#90
|
$$
|
X
|
X
|
Thor
|
#137
|
X
|
?
|
?
|
|
Thor-JIM
|
#91
|
$$
|
X
|
X
|
Thor
|
#138
|
XX
|
?
|
?
|
|
Thor-JIM
|
#92
|
?
|
?
|
$
|
Thor
|
#139
|
XX
|
?
|
?
|
|
Thor-JIM
|
#93
|
$$
|
X
|
X
|
Thor
|
#140
|
XX
|
?
|
?
|
|
Thor-JIM
|
#94
|
$$
|
X
|
X
|
Thor
|
#141
|
XX
|
$
|
?
|
|
Thor-JIM
|
#95
|
$$
|
$
|
X
|
Thor
|
#142
|
XX
|
?
|
?
|
|
Thor-JIM
|
#96
|
$$
|
X
|
X
|
Thor
|
#143
|
X
|
?
|
?
|
|
Thor-JIM
|
#97
|
X
|
X
|
X
|
Thor
|
#144
|
XX
|
?
|
?
|
|
Thor-JIM
|
#98
|
$$
|
X
|
?
|
Thor
|
#145
|
XX
|
?
|
?
|
|
Thor-JIM
|
#99
|
X
|
X
|
?
|
Thor
|
#146
|
XX
|
$
|
?
|
|
Thor-JIM
|
#100
|
$$
|
X
|
X
|
Thor
|
#147
|
XX
|
$
|
?
|
|
Thor-JIM
|
#101
|
XX
|
X
|
X
|
Thor
|
#148
|
XX
|
X
|
?
|
|
Thor-JIM
|
#102
|
X
|
$
|
$
|
Thor
|
#149
|
X
|
?
|
?
|
|
Thor-JIM
|
#103
|
$$
|
X
|
X
|
Thor
|
#150
|
XX
|
?
|
?
|
|
Thor-JIM
|
#104
|
X
|
X
|
?
|
Thor
|
#151
|
XX
|
?
|
?
|
|
Thor-JIM
|
#105
|
X
|
?
|
?
|
Thor
|
#152
|
XX
|
?
|
?
|
|
Thor-JIM
|
#106
|
X
|
X
|
?
|
Thor
|
#153
|
XX
|
?
|
?
|
|
Thor-JIM
|
#107
|
X
|
X
|
X
|
Thor
|
#154
|
XX
|
?
|
?
|
|
Thor-JIM
|
#108
|
$
|
?
|
?
|
Thor
|
#155
|
XX
|
$
|
?
|
|
Thor-JIM
|
#109
|
$
|
X
|
$
|
Thor
|
#156
|
XX
|
?
|
?
|
|
Thor-JIM
|
#110
|
X
|
X
|
?
|
Thor
|
#157
|
XX
|
?
|
?
|
|
Thor-JIM
|
#111
|
X
|
X
|
?
|
Thor
|
#158
|
XX
|
$
|
?
|
|
Thor-JIM
|
#112
|
$
|
XX
|
X
|
Thor
|
#159
|
XX
|
?
|
?
|
|
Thor-JIM
|
#113
|
X
|
?
|
?
|
Thor
|
#160
|
XX
|
$
|
?
|
|
Thor-JIM
|
#114
|
$$
|
X
|
$
|
Thor
|
#161
|
XX
|
$
|
?
|
|
Thor-JIM
|
#115
|
X
|
X
|
X
|
Thor
|
#162
|
XX
|
?
|
?
|
|
Thor-JIM
|
#116
|
$$
|
$
|
?
|
Thor
|
#163
|
XX
|
?
|
?
|
|
Thor-JIM
|
#117
|
?
|
?
|
?
|
Thor
|
#164
|
XX
|
?
|
?
|
|
Thor-JIM
|
#118
|
X
|
X
|
X
|
Thor
|
#165
|
$$
|
$$
|
$
|
|
Thor-JIM
|
#119
|
$
|
X
|
?
|
Thor
|
#166
|
XX
|
$
|
?
|
|
Thor-JIM
|
#120
|
XX
|
X
|
X
|
Thor
|
#167
|
XX
|
?
|
?
|
|
Thor-JIM
|
#121
|
XX
|
X
|
X
|
Thor
|
#168
|
X
|
$
|
?
|
|
Thor-JIM
|
#122
|
XX
|
X
|
X
|
Thor
|
#169
|
XX
|
$
|
?
|
|
Thor-JIM
|
#123
|
XX
|
X
|
X
|
Thor
|
#170
|
XX
|
?
|
?
|
|
Thor-JIM
|
#124
|
XX
|
?
|
?
|
Thor
|
#171
|
XX
|
?
|
?
|
|
Thor-JIM
|
#125
|
X
|
?
|
?
|
Thor
|
#172
|
XX
|
?
|
?
|
|
Thor
|
#126
|
$$
|
X
|
$
|
Thor
|
#173
|
XX
|
?
|
?
|
|
Thor
|
#127
|
X
|
$
|
?
|
Thor
|
#174
|
XX
|
?
|
?
|
|
Thor
|
#128
|
X
|
?
|
?
|
Thor
|
#175
|
XX
|
?
|
?
|
|
Thor
|
#129
|
X
|
?
|
?
|
Given the I/O differences in the data
across grades, I focused on the average of those differences between the I and
O data. I adjusted these averages to normalize it and allow a sharper clarity in
the results. That data is presented in Table 3.
Analysis of the Table 3 data revealed
that I/O data in Tables 1 and 2 may not reflect the whole truth, the “Buy”
signal disappears as you see the data lands on the grade of 9.4 for the
Insiders choice on these issues. Note only 3 issues are favored across the
three grade levels by the I crowd (Thor #89, #116 and #165). In contrast, 22
issues show only the I/O bias by the insider investors mainly in the Grade of
9.4. I also have denoted via gray color
on the issues that certainly need to be watched. Finally the other issues are
all pretty much biased by the outsiders over the insiders’ opinions and buying
habits. Note the issues in green support the selected JIM with only Thor 126
and 165 as the outliers in this pattern.
Based on this
data, I would conclude one might focus on the 3 green denoted issues in the
lesser cheaper grades while the dark green issues would those you should focus
on only in highest grades or not at all. The grey ones are on the watch list. Other
issues are not recommended for a focus effort at this time. Note this table may
be of greater usage and certainly suggests a different approach as did the data
in Table 2.
Given the wealth
of data we now have we can look across the runs to see into the first 20 issues
of Thor, ASM, FF and X-men. Table 4 is the total counts in each group. Bright
Greens – Buy in all grades 6.0 and up and Dark Greens are buy at 9.4 or better.
White/Red is a no Buy but Sell.
I see that FF and
Thor seem to be biased to the Greens while the other two are not. In fact ASM
show a surprising low level of “Greens” as does X-Men. Is that showing an
impact factor of the stories in FF and Thor vs. ASM and X-men? Does this imply
they have more room to move forward into deeper Greens. Has such a movement
stopped in ASM and X-men? Buy Thor>FF>>X-Men>>ASM if you ordered
the landscape of the buy signals here!
My data gives you a scaled view that an ordinary guide well not be able
to! So you should consider the depth of this. As I move into the Bronze worlds
will we see “reds” in the early issues? I wonder! FYI I am gathering Bronze
world data as you read hereJ.
Table 4 Data Across
Key Runs- total counts
First 20 Issues
|
Bright Green
|
Dark Green
|
White
|
Red
|
Thor
|
1
|
14
|
5
|
0
|
FF
|
5
|
11
|
4
|
0
|
Xmen
|
3
|
9
|
9
|
0
|
Asm
|
2
|
6
|
12
|
0
|
Comments
Post a Comment