WEB SERIES

Brand Owner (click to sort) Address Description
A-POP A-Pop Entertainment Group 2180 Satellite Boulevard, Suite 400 Duluth GA 30097 Web series, namely, entertainment services, namely, an ongoing series featuring musical performances broadcast over the internet; Entertainment, namely, a continuing musical show broadcast over television, radio, internet; entertainment services in the nature of live musical performance;Musical recordings; Audio and video recordings featuring music and artistic performances; Downloadable musical sound recordings;Bracelets; necklaces;Hats; shirts;Glasses, namely, drinking glasses; cups;
A-POP LIFE A-Pop Entertainment Group 2180 Satellite Boulevard, Suite 400 Duluth GA 30097 Web series, namely, entertainment services, namely, an ongoing series featuring recorded music and videos broadcast over the internet; Entertainment, namely, a continuing music show broadcast over television, radio, and internet;
KNOT NORMAL INC. Mechael, Ban 37292 Chelsea Ct. Farmington Hills MI 48331 Web Series, Reality TV, Movies, Video, Apple and Android Applications, Video games, Clothes, Hats, T-shirts, pants, jeans, socks, shoes, accessories, purse, luggage, jewelry, pens, pencils, cups, make-up, perfume, hair care, medical care, food, vitamins;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method of predicting the performance of a financial variable having corresponding financial parameters represented by time series of adjacent-in-time series terms. Differential series are calculated from adjacent series terms in the financial parameter series and term trends of upward, downward and unchanged trends are then located. Cumulative variations of the term trends are calculated and are then used to identify a series of sign state progressions. A time position for a select financial parameter series term is then selected and terms in the differential series, cumulative variation series and sign state series corresponding to the time position are located. The series terms are then searched to locate prior time positions where similar term values and trends occurred. Once the prior time positions are located, the series values at time positions subsequent to the located time positions are used as a forecast for the performance of the financial variable.