The present disclosure provides a method of managing wagering micro-markets using artificial intelligence with human skilled game operators or human traders in which a wagering network contains a historical odds database, as well as a historical database that is weighted containing the inputs or adjusted odds from the most profitable skilled game operators, SGOs, that are filtered by the situational data from the live event and correlations, are performed to extract the wagering odds that are correlated allowing the SGO to review the wagering odds and either accept or adjust the wagering odds which are presented to the users through the wagering network.
METHOD OF MANAGING WAGER MICRO-MARKETS WITH AI USING HUMAN TRADERS AND WEIGHTED DATASETS