Analysis of Strange Tales (ST) issues 101 to 168
Amazingly Secret Approach Using an Incredibly Novel Data Analysis Procedure for Comic Book Investing and Speculation.
Analysis of Strange Tales (ST) issues 101 to 168
Analysis of Strange Tales (ST) issues 101 to 168
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 entire run of the silver age Strange Tales (ST
issues 101 to 168), 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 3/2015. I choose to keep my methodology and data gathering proprietary
at this time but am giving my readers a simplified representation of my data
that I currently use for my analysis leading to my decisions.
Results - Strange Tales (ST issues 101 to
168)
Table 1. Bias Scores (B SCORE) of All
Issues in the Run
Using the data based on
that described in the introduction, I calculated the I/O bias (B Score) between the two groups and
adjusted those scores to account for the extreme issue(s) (ST 110). Very high
insider bias is denoted with dark purple (range 258 to 40) and high bias
is denoted using light purple (range 16 to 4). Minus numbers
reflect a bias by the unsophisticated outsider group while positive numbers
reflect bias by the sophisticated insider group. I have denoted the issues that
have the insider bias with a dark grey fill-in.
The
data suggests a bias does exist and invites a deeper focus (see Tables 2 and 3).
I think these data show promise for bias analysis and that surprisingly no
extremes exist in issue values biased to outsiders’ opinions. That finding may
need further thought.
Issue
|
B Score
|
Issue
|
Issue
|
B Score
|
|||
B Score
|
|||||||
#101
|
74
|
#123
|
-5
|
#146
|
-11
|
||
#102
|
40
|
#124
|
-9
|
#147
|
-11
|
||
#103
|
6
|
#125
|
-8
|
#148
|
-10
|
||
#104
|
-4
|
#126
|
4
|
#149
|
-11
|
||
#105
|
-4
|
#127
|
-6
|
#150
|
-10
|
||
#106
|
8
|
#128
|
-6
|
#151
|
-9
|
||
#107
|
9
|
#129
|
-8
|
#152
|
-10
|
||
#108
|
0
|
#130
|
-6
|
#153
|
-10
|
||
#109
|
-7
|
#131
|
-9
|
#154
|
-10
|
||
#110
|
258
|
#132
|
-7
|
#155
|
-10
|
||
#111
|
10
|
#133
|
-8
|
#156
|
-10
|
||
#112
|
-3
|
#134
|
-7
|
#157
|
-11
|
||
#113
|
-5
|
#135
|
5
|
#158
|
-10
|
||
#114
|
0
|
#136
|
-9
|
#159
|
-8
|
||
#115
|
15
|
#137
|
-4
|
#160
|
-10
|
||
#116
|
-6
|
#138
|
-10
|
#161
|
-10
|
||
#117
|
-6
|
#139
|
-11
|
#162
|
-10
|
||
#118
|
-5
|
#140
|
-11
|
#163
|
-10
|
||
#119
|
16
|
#141
|
-10
|
#164
|
-10
|
||
#120
|
0
|
#142
|
-10
|
#165
|
-10
|
||
#121
|
-6
|
#143
|
-11
|
#166
|
-10
|
||
#122
|
14
|
#144
|
-10
|
#167
|
-10
|
||
#145
|
-10
|
#168
|
-10
|
Table 2. I/O SLN numbers
calculated for issues 101 to 135.
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 between issues 101 to 135. After issue 135 very
little is of current interest.
Issue
|
Insiders
|
Outsiders
|
Issue
|
Insiders
|
Outsiders
|
|
#101
|
9.8
|
5.0
|
#119
|
2.8
|
1.0
|
|
#102
|
5.6
|
2.5
|
#120
|
1.3
|
1.1
|
|
#103
|
2.2
|
2.5
|
#121
|
0.6
|
0.6
|
|
#104
|
1.2
|
2.5
|
#122
|
2.6
|
0.6
|
|
#105
|
1.2
|
2.5
|
#123
|
0.6
|
0.6
|
|
#106
|
2.2
|
2.2
|
#124
|
0.4
|
0.6
|
|
#107
|
2.9
|
3.8
|
#125
|
0.5
|
1.6
|
|
#108
|
1.5
|
2.2
|
#126
|
2.2
|
1.7
|
|
#109
|
0.8
|
2.2
|
#127
|
0.6
|
0.6
|
|
#110
|
37.9
|
29.9
|
#128
|
0.6
|
0.6
|
|
#111
|
2.8
|
3.2
|
#129
|
0.3
|
0.6
|
|
#112
|
1.1
|
1.6
|
#130
|
0.7
|
1.1
|
|
#113
|
0.9
|
1.6
|
#131
|
0.3
|
0.6
|
|
#114
|
1.8
|
3.2
|
#132
|
0.5
|
0.6
|
|
#115
|
3.7
|
3.9
|
#133
|
0.4
|
0.6
|
|
#116
|
0.8
|
1.3
|
#134
|
0.5
|
0.6
|
|
#117
|
0.7
|
1.1
|
#135
|
2.2
|
3.0
|
|
#118
|
0.8
|
1.0
|
As
I look across the data landscape, I have to focus on issue 110, which is the
first Dr Strange appearance. Clearly it is the star of the show in this run. I
see that the SLN numbers are near but the insiders are valuing it more that
outsiders (37.9 vs. 29.9). Next I focus your attention onto the issues that
insiders are valuing higher vs. the outside group: issues 101 (I/O-9.8 to 5.0),
102 (I/O 5.6 to 2.5), 119 (I/O 2.8 to 1.0), 122 (2.6 to 0.6) and 126 (2.2 to
1.7). In fact as you look from 101 to 118, we see that by taking out
101,102,106,110 and 115, all the remaining issues are valued higher across the
grades by the outsiders vs. the insiders. (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). Both issue 115 and 135 are prized by both groups but valued
higher in the outsiders group. Green denotes I to O bias while Red denotes the opposite.
In conclusion based on this
data, I suggest the green issues are the investment targets to focus on the
highest grades possible while the red issues are targets for much less focus.
Table 3. Adjusted Average Differences of
I/O Data at Selected Grades
Given the I/O differences in
the data across grades (data not shown), I focused on the average of those
differences between the I and O data. I adjusted these averages to normalize
the numbers to allow a sharper clarity in the results. That data is presented
in Table 3. $
represents I bias while x represents O bias.
Issue
|
9.4 ADF
|
8 ADF
|
6 ADF
|
Issue
|
9.4 ADF
|
8 ADF
|
6 ADF
|
Issue
|
9.4 ADF
|
8 ADF
|
6 ADF
|
||
#101
|
$
|
$
|
$
|
#123
|
x
|
x
|
x
|
#146
|
x
|
x
|
x
|
||
#102
|
$
|
x
|
x
|
#124
|
x
|
x
|
x
|
#147
|
x
|
x
|
x
|
||
#103
|
$
|
x
|
x
|
#125
|
x
|
x
|
x
|
#148
|
x
|
x
|
x
|
||
#104
|
x
|
x
|
x
|
#126
|
$
|
$
|
$
|
#149
|
x
|
x
|
x
|
||
#105
|
x
|
x
|
x
|
#127
|
x
|
x
|
x
|
#150
|
x
|
x
|
x
|
||
#106
|
$
|
x
|
x
|
#128
|
x
|
x
|
x
|
#151
|
x
|
x
|
x
|
||
#107
|
$
|
x
|
x
|
#129
|
x
|
x
|
x
|
#152
|
x
|
x
|
x
|
||
#108
|
x
|
x
|
x
|
#130
|
x
|
x
|
x
|
#153
|
x
|
x
|
x
|
||
#109
|
x
|
x
|
x
|
#131
|
x
|
x
|
x
|
#154
|
x
|
x
|
x
|
||
#110
|
$
|
$
|
$
|
#132
|
x
|
x
|
x
|
#155
|
x
|
x
|
x
|
||
#111
|
$
|
x
|
x
|
#133
|
x
|
x
|
x
|
#156
|
x
|
x
|
x
|
||
#112
|
x
|
x
|
x
|
#134
|
x
|
x
|
x
|
#157
|
x
|
x
|
x
|
||
#113
|
x
|
x
|
x
|
#135
|
$
|
x
|
x
|
#158
|
x
|
x
|
x
|
||
#114
|
x
|
x
|
x
|
#136
|
x
|
x
|
x
|
#159
|
x
|
x
|
x
|
||
#115
|
$
|
$
|
$
|
#137
|
x
|
x
|
x
|
#160
|
x
|
x
|
x
|
||
#116
|
x
|
x
|
x
|
#138
|
x
|
x
|
x
|
#161
|
x
|
x
|
x
|
||
#117
|
x
|
x
|
x
|
#139
|
x
|
x
|
x
|
#162
|
x
|
x
|
x
|
||
#118
|
x
|
x
|
x
|
#140
|
x
|
x
|
x
|
#163
|
x
|
x
|
x
|
||
#119
|
$
|
x
|
x
|
#141
|
x
|
x
|
x
|
#164
|
x
|
x
|
x
|
||
#120
|
x
|
x
|
x
|
#142
|
x
|
x
|
x
|
#165
|
x
|
x
|
x
|
||
#121
|
x
|
x
|
x
|
#143
|
x
|
x
|
x
|
#166
|
x
|
x
|
x
|
||
#122
|
$
|
x
|
x
|
#144
|
x
|
x
|
x
|
#167
|
x
|
x
|
x
|
||
#145
|
x
|
x
|
x
|
#168
|
x
|
x
|
x
|
Analysis of the Table 3 data revealed
that I/O data in Table 1 and 2 might not reflect the whole truth. It can be
seen that 4 issues are favored across the three grade levels by the I crowd
(101, 110, 115 and 126). In contrast, 8 issues show only the I/O bias by the
insider investors in the Grade of 9.4 (102, 103, 106, 107, 111, 119 122, 135).
In the other grades of 8 and 6 are favored by the unsophisticated outsiders.
Finally an outsider’s bias exists in all the other issues in the run. This data
may reflect the insiders’ opinions and buying habits.
Based on this
data, I would conclude one might focus on the 4 dark purple denoted issues in
the lesser cheaper grades while the lighter purple issues would those you
should focus on only in highest grades or not at all. 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
Legend for Focusing on
Table 3’s Data
$ $ $ ----- I-bias
is strong across the grades High Focus
$ $ x ----- I-bias
is stronger in the higher grades Mid
Focus
$ x $ ----- I-bias is
only in the high grade 9.4
$ x x ----- I-bias
is only in the high grade 9.4
x $ $ ----- Some
I-bias but not in the high grade
x x $ ----- Some I-bias
but not in the high grade Light/Low
Focus
x $ x ----- Some
I-bias but not in the high grade
x x x -----
O-bias across all grades No
Focus
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