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Showing posts from September, 2016

Investment Analysis of Justice League of America Issues 42 to 60.

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Investment Analysis of Justice League of America  Issues 42 to 60.  These issues continue the trend and we see a Bi-modal Distribution in the data. See the Bias Score Data! Why?  The first table presents the Bias Score (B Score) for all the issues. Bias scores show which issues are being bought by the Insiders (Pros) vs. the Outsiders (Fans Less Serious). The concept of my approach is to focus on the issues being bought BULLISHLY by the investors. We developed an analysis of data to quantify this Bias (B Score). We mark the issues with the highest Bias with Lime Green followed by a Dark Green staining for issues with a lesser but definite Bias. Red are those issues to avoid.   Table 2 data deals with another data stream on comic-book issues. This run’s issues are looked at 3 grades 9.4, 8 and 6. The changes in bias between the different grades are calculated and the SLN numbers were born. The SLN numbers look into each “world” of the I vs. O bias data. This data has shown his

Investment Analysis of Justice League of America Issues 23 to 41.

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Investment Analysis of Justice League of America  Issues 23 to 41.  These issues continue the trend and we see a Bi-modal Distribution in the data. See the Bias Score Data! Why?  The first table presents the Bias Score (B Score) for all the issues. Bias scores show which issues are being bought by the Insiders (Pros) vs. the Outsiders (Fans Less Serious). The concept of my approach is to focus on the issues being bought BULLISHLY by the investors. We developed an analysis of data to quantify this Bias (B Score). We mark the issues with the highest Bias with Lime Green followed by a Dark Green staining for issues with a lesser but definite Bias. Red are those issues to avoid.   Table 2 data deals with another data stream on comic-book issues. This run’s issues are looked at 3 grades 9.4, 8 and 6. The changes in bias between the different grades are calculated and the SLN numbers were born. The SLN numbers look into each “world” of the I vs. O bias data. This data has shown his

Investment Analysis Justice League of America Issues 11 to 22.

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Investment Analysis of Justice League of America  Issues 11 to 22.  These continue the trend and we see a Bi-modal Distribution in the data. See the Bias Score Data! Why?  The first table presents the Bias Score (B Score) for all the issues. Bias scores show which issues are being bought by the Insiders (Pros) vs. the Outsiders (Fans Less Serious). The concept of my approach is to focus on the issues being bought BULLISHLY by the investors. We developed an analysis of data to quantify this Bias (B Score). We mark the issues with the highest Bias with Lime Green followed by a Dark Green staining for issues with a lesser but definite Bias. Red are those issues to avoid.   Table 2 data deals with another data stream on comic-book issues. This run’s issues are looked at 3 grades 9.4, 8 and 6. The changes in bias between the different grades are calculated and the SLN numbers were born. The SLN numbers look into each “world” of the I vs. O bias data. This data has shown historical

Investment Analysis of Justice League of America Issues 1 to 10.

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Investment Analysis of Justice League of America  Issues 1 to 10.  The first ten are night and day difference in the data. See the Bias Score Data!  The first table presents the Bias Score (B Score) for all the issues. Bias scores show which issues are being bought by the Insiders (Pros) vs. the Outsiders (Fans Less Serious). The concept of my approach is to focus on the issues being bought BULLISHLY by the investors. We developed an analysis of data to quantify this Bias (B Score). We mark the issues with the highest Bias with Lime Green followed by a Dark Green staining for issues with a lesser but definite Bias. Red are those issues to avoid.   Table 2 data deals with another data stream on comic-book issues. This run’s issues are looked at 3 grades 9.4, 8 and 6. The changes in bias between the different grades are calculated and the SLN numbers were born. The SLN numbers look into each “world” of the I vs. O bias data. This data has shown historically to be the most libe