Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: The disclosed embodiments relate to an exchange computing system which selectively prematurely expires financial instruments in order to finally settle them and remove them from the computing system. In particular, the disclosed embodiments recognize that during the pendency of a futures contract between first available trade date and the expiration, the exchange computing system must facilitate trading thereof by tracking traders positions, providing regular pricing data as well as transacting trades therefore. This consumes exchange resource especially given the number of products offered and the extended length of term for some. Accordingly where contracts can be settled early and thereby removed from being transacted, exchange resources may be conserved.

Abstract: The disclosed embodiments relate to an exchange computing system which selectively prematurely expires financial instruments in order to finally settle them and remove them from the computing system. In particular, the disclosed embodiments recognize that during the pendency of a futures contract between first available trade date and the expiration, the exchange computing system must facilitate trading thereof by tracking traders positions, providing regular pricing data as well as transacting trades therefore. This consumes exchange resource especially given the number of products offered and the extended length of term for some. Accordingly where contracts can be settled early and thereby removed from being transacted, exchange resources may be conserved.

Abstract: The disclosed embodiments relate to automated generation of objective data for use in computing a forward interest rate for a future time period subsequent to a current date, as well as post validation thereof. Periodic sample sets of the prices of actual completed trades between anonymized parties of each of a set of interest rate futures contracts having consecutive expiration months which collectively include the selected future time period are obtained from an anonymized electronic trading system. The prices of current best offers to buy/sell each of those contracts are also randomly obtained. Each sample set, along with the randomly selected prices, is then processed to identify a subset thereof which are consistent with a relationship between the underlying interest rate of the set of contracts and time period covered thereby.

Abstract: The disclosed embodiments relate to determining a listing date, an expiration date and the cash settlement price of a futures contract, i.e. a Treasury Futures, for the delivery of the most recently issued, referred to as an on-the-run, US treasury Note of a particular maturity by reference to the U.S. Treasury Auction cycle and the difference between a resultant industry surveyed swap rate and a resultant industry surveyed swap spread of the respective tenors (time remaining until maturity) of the on-the-run treasury futures.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.

Abstract: A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.