Amazing Spider-man Part 2 (Issues 81 to 149)

Amazingly Secret Approach Using an Incredibly Novel Data Analysis Procedure for Comic Book Investing and Speculation.  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 ASM run of the silver age issues (ASM 81 to 149), 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 – Amazing Spider-man Part 2 (Issues 81 to 149) Table 1. Bias Scores (B SCORE) of All Issues in the Run Issue B Score Issue B Score #81 -40.8 #116 -29 #82 13.2 #117 -70 #83 -34.8 #118 -21 #84 55.2 #119 46.2 #85 -37.8 #120 -31.8 #86 356.2 #121 119 #87 23.2 #122 54 #88 29.2 #123 -34 #89 73.2 #124 -7 #90 152 #125 -69 #91 -30.8 #126 -13 #92 -55.8 #127 -65 #93 97.2 #128 -90 #94 287.4 #129 -149 #95 -30.8 #130 -36.6 #96 66 #131 -68.6 #97 -10 #132 -64.6 #98 -61 #133 -72.6 #99 -54.2 #134 -79.6 #100 67.6 #135 40.2 #101 393.8 #136 18.2 #102 158 #137 -89 #103 -7 #138 -70 #104 -15 #139 -84 #105 -62 #140 -58 #106 -14 #141 -26 #107 -36 #142 -77 #108 12 #143 -9 #109 -15 #144 -65 #110 -82 #145 -60 #111 4 #146 -57 #112 11 #147 -65 #113 -37 #148 56.4 #114 125 #149 -2.4 #115 -58       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. I note the very high insider bias with dark purple and high bias using light purple. 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). I think these data show promise in this run. Table 2.  I/O SLN numbers calculated for issues ASM 81-149. Issue I SLN O SLN Issue I SLN O SLN #81 0.6 1.0 #116 0.6 0.7 #82 0.9 1.0 #117 0.5 0.7 #83 0.7 1.0 #118 0.6 0.7 #84 1.1 1.0 #119 1.2 1.0 #85 0.9 1.0 #120 0.8 1.0 #86 3.1 1.0 #121 3.9 2.9 #87 1.0 1.0 #122 2.7 2.9 #88 1.1 1.0 #123 0.7 0.7 #89 1.3 1.0 #124 0.8 1.1 #90 2.0 1.4 #125 0.4 0.7 #91 0.8 1.0 #126 0.6 0.7 #92 0.7 1.0 #127 0.4 0.7 #93 1.5 1.0 #128 0.3 0.7 #94 2.6 1.3 #129 5.0 7.2 #95 0.8 1.0 #130 0.5 0.6 #96 1.5 1.4 #131 0.3 0.6 #97 1.0 1.4 #132 0.3 0.6 #98 0.7 1.4 #133 0.3 0.6 #99 0.8 1.1 #134 0.4 0.6 #100 2.1 2.3 #135 1.2 1.0 #101 4.5 2.6 #136 1.0 1.0 #102 2.0 1.4 #137 0.3 0.7 #103 0.8 0.7 #138 0.2 0.4 #104 0.7 0.7 #139 0.1 0.4 #105 0.4 0.7 #140 0.3 0.4 #106 0.9 0.7 #141 0.5 0.4 #107 0.6 0.7 #142 0.3 0.4 #108 0.8 0.7 #143 0.6 0.4 #109 0.7 0.7 #144 0.5 0.4 #110 0.3 0.7 #145 0.4 0.4 #111 0.7 0.7 #146 0.3 0.4 #112 0.9 0.7 #147 0.2 0.4 #113 0.6 0.7 #148 1.0 0.6 #114 1.4 0.7 #149 0.8 0.9 #115 0.4 0.7       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 ASM between issues 81 to 149.         As I look across the data landscape, I see a lot of negative issues to not 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 would not focus on these except as noted by the Table 3 data. (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 Issue C9.4 ADF C8 ADF C6 ADF Issue C9.4 ADF C8 ADF C6 ADF #81 XX X X #116 XX X X #82 X X ? #117 XX ? ? #83 XX X ? #118 XX X X #84 ? XX X #119 $ ? ? #85 X $ X #120 XX ? ? #86 $$ $ ? #121 $$ $$ $$ #87 ? X ? #122 $$ $ $$ #88 $ X ? #123 XX $ X #89 $ X X #124 XX XX X #90 $$ X X #125 XX ? ? #91 XX X X #126 XX X X #92 XX ? $ #127 XX X X #93 $$ ? X #128 XX X X #94 $$ XX ? #129 $$ $$ $$ #95 XX X X #130 XX ? ? #96 $ XX ? #131 XX X ? #97 XX XX X #132 XX X X #98 XX XX ? #133 XX ? X #99 XX ? X #134 XX $ X #100 $ X ? #135 $ ? ? #101 $$ $$ $ #136 X X X #102 $$ X X #137 XX ? X #103 X $ X #138 XX ? X #104 XX X ? #139 XX ? X #105 XX X ? #140 XX ? ? #106 ? $ X #141 XX ? X #107 XX X ? #142 XX $ X #108 ? X ? #143 X ? X #109 XX ? X #144 X $ ? #110 XX ? X #145 XX $ ? #111 XX X X #146 XX ? X #112 ? ? X #147 XX ? ? #113 XX X X #148 $ X X #114 $$ X X #149 XX X X #115 XX 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. It can be seen that 4 issues are favored across the three grade levels by the I crowd ( ASM 101, 121, 122, and 129). In contrast, 12 issues show only the I/O bias by the insider investors mainly in the Grade of 9.4 (86, 88, 89, 90, 93, 94, 100, 102, 114, 119, 135, and148).  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.          Based on this data, I would conclude one might focus on the 4 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.