Abstract: Described are methods, platforms, systems, and media for providing passive data transparency in a distributed market, comprising: aggregating or using aggregated ETF data at least including ownership data to generate a first database; applying, in a distributed parallel computing architecture, a first algorithm utilizing a vectorized calculation over time series data to generate a multi-dimensional representation of relationship graphs including pass through variables between nodes within or across the Primary Markets and Secondary Markets; generating a database, searchable by any dimension of the calculated data or any component of the relationship graph; and providing an analytics layer for synthesizing any component of the relationship graph including pass through variables, and the database to perform a task. Wherein a task can comprise providing information, analysis, recommendation, predictions, projections, and/or performing actions to manage an investment portfolio or a combination thereof.

Abstract: In some embodiments, a non-transitory processor-readable medium stores code representing instructions to be executed by a processor that causes the processor to receive historical demographic and historical environmental information associated with a geographic location and a recurring time period. The code causes the processor to select a first set of advertisements for the geographic location and the recurring time period based on the historical demographic and the historical environmental information. The code causes the processor to receive current demographic and current environmental information associated with the geographic location and a current time period associated with the recurring time period.

Abstract: In some embodiments, a non-transitory processor-readable medium stores code representing instructions to be executed by a processor that can cause the processor to receive from mobile compute devices demographic information associated with users of such mobile compute devices and the indication of the locations of such mobile compute devices and the time. The code causes the processor to identify based on the indication of the location and the time, a collection of mobile compute devices that are within a geographic area during a time period. The code causes the processor to receive from a remote sensory device, environmental information associated with the geographical area during the time period. The code causes the processor to correlate the demographic information with the environmental information to define a trend associated with the geographic area and the time period and send a signal including an indicator associated with the trend.