Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
  • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
  • G06Q40/06—Asset management; Financial planning or analysis

Definitions

• the invention generally relates to Monte Carlo simulations. More
• the invention relates to means and methods
• the present invention overcomes shortfalls in the related art by presenting an unobvious and unique combinations, configurations and use of methods, systems and means reducing the time and computational costs traditionally associated with testing, manipulation and analysis of data in computer architectures.
• Disclosed embodiments overcome the shortfalls in the related art by presenting a notation that allows for the encoding of both syntactic and semantic information into a two bit vector notation within associated with a semantic node in a semantic network. Disclosed embodiments also overcome shortfalls in the art by encoding the property each feature assumes in recursive predicate analysis.
• Fig. 2 depicts a machine implementation
• Fig. 4 depicts the assignment of a property to a particular index within array
• Fig. 5 depicts a disclosed conditional testing of market data for Monte Carlo simulation and syntactic pattern matching
• Fig. 6 depicts a disclosed system of a futures contract market
• the undefined value allows for the dynamic benign encoding into the network, a logic property attributable to many Kleene logics.
• the fourth property allows for the proper quantification and binding of variables for the elimination of the effects of the newer truth values for subsequent steps in the calculation. It also provides the possibility for the introduction of an intuitionistic acceptable "terium non datur" for decision procedures for modeling Markov processes into the logic.
• first column of Fig. 1 the logical not sign is shown as in the second column of Fig. 1 the AND operator is shown as ⁇ , in the third column of Fig. 1 the OR operator is shown as V.
• the first column shows the values before application of the not operator. For example, in the first row of the first column, the value of F is shown before application of the not operator and T is shown as a result.
• a OR operator takes one value from the first column and one value from the first row and shows the result of the logical operator where the column value and row value intersect.
• a AND operator is applied in a similar manner as in the second column. For example, in the third column, at the first row and selecting the last element, at the first column in selecting the second element D and F are shown and result in a value of D.
• FIG. 2 a machine implementation is shown using a machine readable, non-transitory media 100, the media 100 having machine readable
• the processor 200 may be in communication with memory 300, a plurality of databases and other components, such as a network, user interfaces and other implements.
• the plurality of databases may include a database 410 of one or more semantic networks, such as the network system of Fig. 3, a database 420 of vector arrays the arrays may be associated with each semantic node or other network component, a database 430 of logical connectives, such as the connectives of Fig. 1, a database 440 of grammar phrase structure
• FIG. 5 also depicts a system clock 700, top down / bottom up parser 800 and runtime stack and heap 600.
• FIG. 3 a graphical representation of a semantic network 500 is shown with objects 510 and relations 520, with all objects and relations being nodes in memory or in a database.
• a system wherein a market participant tests conditionals to attempt to take advantage of price discrepancies between markets or other risk analysis in pre-ordering. Disclosed systems also pertain to post order analysis as well.
• the displaced information pertains to data from market C.
• Conditional tests and filters are shown as executed by market participant Alpha. Test may be used to filter asset classes, risk and for resource allocation.
• Fig. 6 a system and order matching engine is disclosed wherein a risk analysis is performed prior to execution of orders within the disclosed system.
• Fig. 6 may be considered a diagram of the major and minor participants of a futures contract, derivatives market or other market.
• Disclosed embodiments include the following Items:

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• Game Theory and Decision Science (AREA)
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• General Business, Economics & Management (AREA)
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• Management, Administration, Business Operations System, And Electronic Commerce (AREA)
• Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
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• 2014
  • 2014-09-17 EP EP14851877.2A patent/EP3055825A4/de not_active Withdrawn
  • 2014-09-17 CA CA2966564A patent/CA2966564A1/en not_active Abandoned
  • 2014-09-17 CN CN201480067323.0A patent/CN105814598B/zh active Active
  • 2014-09-17 AU AU2014332409A patent/AU2014332409A1/en not_active Abandoned
  • 2014-09-17 WO PCT/US2014/056152 patent/WO2015053912A1/en not_active Ceased

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