As a ProphetX user for Refined Fuels Demand, how will I get the data?

Coverage Factor data will be made available to current subscribers of PADD level or US level data.  The values can be accessed by a standard symbol search under: Energy-DTN Rack \ DTN Refined Fuels Demand \ PADD Coverage Factor US Coverage Factor = PVL_US.CF PADD1 Coverage Factor = PVL_1.CF PADD2 Coverage Factor = PVL_2.CF PADD3

Does the Coverage Factor differentiate between Gasoline and Diesel?

No.  Coverage Factor is calculated based on count of missing transactions; It does not reflect the individual products that were part of those transactions because DTN does not have access to those transaction details.  Coverage Factor is intended to avoid speculation and provide a more complete and consistent market view.  

How is Coverage Factor data used?

What is the method for comparing diverse regional data such as volume in PADD1 vs. US on a specific day?  The ratio of PADD1 to US would be (PADD1/padd1_coverage)/(US/US_coverage).  To compare, divide each volume by the coverage factor to get scaled values. How can I compare Year over Year volumes within the same PADD?  The

What is the Methodology for Coverage Factor?

For a given geography (US, or PADD):  COVERAGE = (# of visible transactions over 7 days) / (# visible transactions over 7 days +  # missing transactions over 7 days). Where # visible transactions is a count of BOLs (the same ones used in RFD to get product/volume) and # missing transactions is the number

Will there be a charge for Coverage Factor data?

Coverage Factor data for each PADD and subPADD will be included in the PADD and subPADD subscription.  The US total value will be included for US all subscribers.  There will be no additional charge for Coverage Factor in either case.

What is Coverage Factor?

Coverage Factor is a new addition to the Refined Fuels Demand offering that seeks to normalize the Refined Fuels Demand data across regions and time by identifying the total transactions that occurred in a specified time frame and comparing that count to the transaction volume DTN directly observed and processed.  This data is to be