Investment Potential and Bias Analysis of the Incredible Hulk Selected Issues. (1 to 6, 102 to 122, 141, 145, 162, 180 to 182)

Amazingly Secret Approach Using an Incredibly Novel Data Analysis Procedure for Comic Book Investing and Speculation. 

Analysis of the Hulk Issues

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.

In this issue I go over the Hulk Run including the first 6 issues that are really in their own universe.  We look at the standard flow from out into the end at the separate grades of 9.4, 8, and 6.

Table one focuses the top of the data using a B Score assignment of each issue as compared to the complete issues lists. I labeled the highest Bias from Insider investors in Dark Purple and weaker bias in Light Purple.

Because of the break in the world from the first 6 issues then to Issue 102 onward to 122 followed by 141, 145, 162, and 180 to 182. I picked based on the current interest levels on the issues after 122.

Table 1. B Score of the Hulk Issues

Run	Issue	B Score
Hulk	#1	226739
Hulk	#2	5070
Hulk	#3	2514
Hulk	#4	1000
Hulk	#5	1044
Hulk	#6	-2488
Hulk	#102	166
Hulk	#103	112.4
Hulk	#104	96
Hulk	#105	25.2
Hulk	#106	-0.8
Hulk	#107	264.2
Hulk	#108	86.2
Hulk	#109	40
Hulk	#110	26
Hulk	#111	47.4
Hulk	#112	36.4
Hulk	#113	35.4
Hulk	#114	37.4
Hulk	#115	-10.6
Hulk	#116	21.4
Hulk	#117	30.4
Hulk	#118	42.6
Hulk	#119	27.8
Hulk	#120	38.8
Hulk	#121	87.8
Hulk	#122	-61.8
Hulk	#141	59.4
Hulk	#145	130.8
Hulk	#162	187.6
Hulk	#180	193
Hulk	#181	-37
Hulk	#182	138

Results from the overview data show the division between the worlds from the first 6 issues vs. the other issues. I may come back at some point and add in the TTA issues that were starring Hulk and do the complete Hulk analysis.

So the reasons for the issues highlight are most likely obvious based on the “Keys” within the Biased issues.  I try not to just hit the known “keys” but leave open the discovery of upcoming “Key” issues.!

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 cannot 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. SLN values of the Insider vs. Outsider Biases

Run	Issue	I SLN	O SLN	SLN DF	%DF
Hulk	#1	198670.0	56000.0	142670.0	445.8
Hulk	#2	14503.3	5600.0	8903.3	27.8
Hulk	#3	10404.7	3360.0	7044.7	22.0
Hulk	#4	8717.3	2800.0	5917.3	18.5
Hulk	#5	8870.0	2800.0	6070.0	19.0
Hulk	#6	6870.0	2800.0	4070.0	12.7
Hulk	#102	422.7	280.0	142.7	7.40
Hulk	#103	186.7	114.1	72.5	3.76
Hulk	#104	157.3	112.0	45.3	2.35
Hulk	#105	92.7	78.4	14.3	0.74
Hulk	#106	83.3	78.4	4.9	0.26
Hulk	#107	237.3	78.4	158.9	8.24
Hulk	#108	125.3	78.4	46.9	2.43
Hulk	#109	88.7	56.0	32.7	1.69
Hulk	#110	67.3	56.0	11.3	0.59
Hulk	#111	68.7	44.8	23.9	1.24
Hulk	#112	61.3	44.8	16.5	0.86
Hulk	#113	70.0	44.8	25.2	1.31
Hulk	#114	75.3	44.8	30.5	1.58
Hulk	#115	50.0	44.8	5.2	0.27
Hulk	#116	65.3	44.8	20.5	1.06
Hulk	#117	67.3	44.8	22.5	1.17
Hulk	#118	95.3	67.2	28.1	1.46
Hulk	#119	57.3	33.6	23.7	1.23
Hulk	#120	60.7	33.6	27.1	1.40
Hulk	#121	100.0	33.6	66.4	3.44
Hulk	#122	116.0	78.4	37.6	1.95
Hulk	#141	146.7	98.4	48.3	2.50
Hulk	#145	114.7	32.8	81.9	4.24
Hulk	#162	183.3	65.6	117.7	6.10
Hulk	#180	476.7	218.7	258.0	13.37
Hulk	#181	1566.7	1093.3	473.3	24.54
Hulk	#182	202.7	109.3	93.3	4.84

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 Hulk issues as shown.  

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. I see an interesting pattern in that most of the early issues of the Hulk are in Insider biased.  Note that  issues #102, 107,  180, and 181 are highlighted in light green and should have your high level of focus while the dark green issues are of a lighter focus level.

(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	C 9.4	C 8.0	C 6.0
Hulk	#1	$$	xx	$$
Hulk	#2	$$	xx	xx
Hulk	#3	$$	xx	xx
Hulk	#4	xx	xx	xx
Hulk	#5	xx	xx	xx
Hulk	#6	xx	xx	xx
Hulk	#102	$$	?	?
Hulk	#103	$	x	?
Hulk	#104	?	x	?
Hulk	#105	x	x	?
Hulk	#106	x	?	?
Hulk	#107	$$	x	?
Hulk	#108	?	x	?
Hulk	#109	?	?	?
Hulk	#110	x	x	?
Hulk	#111	?	x	?
Hulk	#112	x	x	?
Hulk	#113	?	?	?
Hulk	#114	?	?	?
Hulk	#115	x	?	?
Hulk	#116	x	?	?
Hulk	#117	x	?	?
Hulk	#118	?	?	?
Hulk	#119	?	?	?
Hulk	#120	?	?	?
Hulk	#121	$	?	?
Hulk	#122	$	$	?
Hulk	#141	$	?	?
Hulk	#145	$	x	?
Hulk	#162	$	x	?
Hulk	#180	$$	$$	$
Hulk	#181	$$	$$	$$
Hulk	#182	$	?	?

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.

 Double $$ is High Bias, $ is Weaker Bias, ? is neutral/Watchable, X and XX refer to issues with O Bias.

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 (Hulk 1, 180 and 181). In contrast, 11 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. These would not be recommended.

Based on this data, I would conclude one might focus on the bright 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 focused 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.