USPTO fintech patent protection and accreditation

 

USPTO fintech patent protection and accreditation

 

As of early-January 2023, the U.S. Patent and Trademark Office (USPTO) has approved our U.S. utility patent application: Algorithmic system for dynamic conditional asset return prediction and fintech network platform automation.

 

On 4 March 2021, we filed a U.S. patent continuation application (Application Number: #17192059; Publication Number: US20210192628) with a new set of claims in accordance with the April 2017 initial application (Application Number: #15480765; Publication Number: US20180293656).

 

We went through many USPTO office actions, rejections, failures, setbacks, and other technical obstacles. Eventually, our patent efforts came to fruition in time. We paid the USPTO maintenance fees to secure our patent protection and accreditation for 20 years.

 

 

Claims:

 

Claim 1  (Currently amended)   An engagement-operated market prediction system connected by a network to a multiplicity of external cloud servers that are separate and distinct from the system, the system comprising:

a database established in a server and configured to store financial records for at least one asset having a variable value, said financial records including retrieved asset specific financial data;

an asset prediction subsystem coupled to said database, said asset prediction subsystem executing to generate at least one dynamic conditional model of the asset based on the financial records stored in the database, the dynamic conditional model being generated according to a plurality of predetermined fundamental factors based on the financial records, said asset prediction subsystem extracting dynamic conditional multifactor premiums from the dynamic conditional model and generating an asset return prediction based thereon, said asset prediction subsystem including a baseline static alpha and beta generation module for ordinary-least-squares (OLS) estimation of static single-factor and multi-factor premiums using at least a portion of said retrieved asset specific financial data;

an output module coupled to said database and said asset prediction subsystem, said output module being configured to search and retrieve asset specific financial data from at least one of the multiplicity of external cloud servers and transfer said retrieved asset specific financial data to said database, said output module executing to reduce the financial records for the asset into an asset summary for export according to the asset return prediction therefor; and

a social network interaction subsystem coupled to said database, said output module, and said asset prediction subsystem, said social network interaction subsystem maintaining a plurality of network-specific interfaces in adaptively selectable manner, each of said network-specific interfaces being configured for compatible interaction with a corresponding one of a plurality of differing external social networks, each of the plurality of external social networks being adapted to include at least one user associated therewith, each of the external social networks being configured to have an account profile for each user thereof, said social network interaction subsystem retrieving informational data from the user’s social network account profile, and the retrieved informational data including demographic attributes of the user and interests thereof with respect to assets having variable values, the social network interaction subsystem being configured for each user to access the engagement-operated market prediction system through one of the external social networks to thereby interact with the social network interaction subsystem via an electronic computing device including at least a visual display unit and an input device, and responsive to said social network interaction subsystem determining that a user’s social network account profile is incomplete, a corresponding electronic computing device’s input device and visual display unit being configured by the social network interaction subsystem to receive informational data input by the user with respect to the user’s demographic attributes and interests with respect to assets having variable values, said social network interaction subsystem also including a graphics processing unit for adaptively manipulating data to be displayed by the visual display unit of the electronic computing device of the user, said graphics processing unit of said social network interaction subsystem adaptively formatting a graphical user interface of a corresponding visual display unit of a respective electronic computing device through a selected one of the network-specific interfaces for two-way interaction with users the respective user through the corresponding external social network, said social network interaction subsystem being configured to notify the user that the user’s pre-existing account profile is incomplete by said graphics processing unit adaptively formatting the visual display unit of the user’s electronic computing device, said social network interaction subsystem formatting the asset summary and user input from users of the social network received through the network-specific interface corresponding to the asset for storage in said database with the financial records for the asset, said graphics processing unit adaptively formatting a display of asset summary of a corresponding asset on the visual display unit of a corresponding user’s electronic computing device responsive to at least one of the input provided by the user on the corresponding input device or the informational data including demographic attributes of the user and interests of the user with respect to assets, said social network interaction subsystem also including a virtual market module coupled to said graphics processing unit and being configured to record simulated transactions of at least one asset by users of the engagement-operated market prediction system through each network-specific interface, the simulated transactions included in the financial records for the corresponding asset stored in said database, each user conducting simulated transactions of the at least one asset via the respective visual display unit and input device, said virtual market module also being configured to generate an asset trade history of each user based on the user’s recorded simulated transactions of each asset, said virtual market module being further configured to rank the plurality of users according to a simulated financial gain resulting from the simulated transactions and to generate a list of high-ranked users, said graphics processing unit selectively and adaptively formatting data associated with one of the following for display on a corresponding visual display unit of the user’s electronic computing device: (1) asset trade histories of the users on the list of high-ranked users, (2) asset trade histories of other users having a similar asset trade history to that of the corresponding user, and (3) groups of other users having similar demographic attributes and interests with respect to assets having variable values, said social network interaction subsystem also including an interactivity module coupled to said graphics processing unit and configured to record the users interacting with one another and the users interacting with at least one asset through each network-specific interface, the user interactions including a provision of a user score of a corresponding asset, status updates by the users about a corresponding asset, private messages between the users about a corresponding asset, comments by the users about a corresponding asset, and likes, dislikes, and unlikes by the users about a corresponding asset, each user conducting the user interactions with one another and with the at least one asset on said social network interaction subsystem via the respective visual display unit and input device, the user interactions with one another and with the assets included in the financial records for the corresponding asset stored in said database, and said graphics processing unit configured to display within each network-specific interface by selectively and adaptively formatting the asset summary in combination with records of the user interactions with one another and with the asset for display on a corresponding visual display unit of a plurality of users accessing the engagement-operated market prediction system through multiple different external social networks.  

 

Claim 2  (Original)  The engagement-operated market prediction system of Claim 1, wherein the predetermined fundamental factors include market risk, size, value, momentum, asset growth, and operating profitability.

 

Claim 3  (Original)  The engagement-operated market prediction system of Claim 1, wherein said asset prediction subsystem determines values for each of the predetermined fundamental factors according to an average return spread between a top 30% and a bottom 30% of individual assets according to a predetermined asset characteristic.

 

Claim 4  (Previously presented)  The engagement-operated market prediction system of Claim 1, wherein:

the dynamic conditional model includes recursive filtration for dynamic conditional alpha and beta estimation based on primary financial records from the database, the primary financial records from the database including said retrieved asset specific financial data.

 

Claim 5  (Original)  The engagement-operated market prediction system of Claim 1, wherein said asset prediction subsystem includes an internal core statistical processing module for generalizing the dynamic conditional model to fit daily individual asset returns and monthly international asset portfolio returns.

 

Claim 6  (Original)  The engagement-operated market prediction system of Claim 1, wherein said asset prediction subsystem includes a multivariate filter operating on the dynamic conditional model to recursively determine the dynamic conditional factor premiums over a series of time increments.

 

Claim 7  (Original)  The engagement-operated market prediction system of Claim 1, wherein:

said asset prediction subsystem is further configured to generate at least one static asset model, and

said asset prediction subsystem includes a conditional specification test module configured to statistically distinguish dynamic conditional asset models from static asset models for individual risky assets or asset portfolios, said conditional specification test module generating χ² test statistics and p-values for quantitative static or dynamic conditional asset model affirmation.

 

Claim 8  (Original)  The engagement-operated market prediction system of Claim 1, wherein said asset prediction subsystem includes a Sharpe ratio generation module for yielding an asset-specific ratio of average excess return to standard deviation of excess returns on the asset.

 

Claim 9  (Original)  The engagement-operated market prediction system of Claim 1, wherein the asset return prediction includes dynamic conditional alpha rank ordering.

 

Claim 10  (Cancelled).

 

Claim 11  (Cancelled).

 

Claim 12  (Cancelled).

 

Claim 13  (Currently amended)  A cloud-computing financial intelligence technology (fintech) platform connected by a network to a multiplicity of external cloud servers that are separate and distinct from the platform, and a plurality of mobile devices, the platform comprising:

       a cloud based cloud-based server connected to the network and configured to search at least a portion of the multiplicity of external cloud servers for asset specific financial data and retrieving said asset specific financial data from at least one of the at least a portion of the multiplicity of external cloud servers and providing two-way data transfer with the plurality of mobile devices;

a database established in said cloud-based server and configured to store financial records for at least one asset having a variable value, said financial records including said retrieved asset specific financial data;

an asset modeling subsystem coupled to said database, said asset modeling subsystem executing to generate at least one dynamic conditional model of the asset based on the financial records stored in the database, the dynamic conditional model generated according to values for a plurality of predetermined factors extracted from the financial records, said asset modeling subsystem determining dynamic conditional multifactor premiums from the dynamic conditional model and generating an asset return prediction based thereon;

an output module coupled to said database and said asset modeling subsystem, said output module being configured to search and retrieve said asset specific financial data and transfer said retrieved asset specific financial data to said database, said output module executing to format a subset of financial records for the asset together with the asset return prediction therefor as an asset summary for export; and

a social network interface coupled to said database, said output module, and said asset modeling subsystem, said social network interface including a plurality of adaptively selectable adaptively-selectable network-specific interfaces, each of said network-specific interfaces being configured for compatible interaction with a corresponding one of a plurality of differing external social networks, each of the plurality of differing external social networks being adapted to include at least one user associated therewith, each of the external social networks being configured to have an account profile for each user thereof, said social network interface retrieving informational data from the user’s social network account profile, and the retrieved informational data including demographic attributes of the user and interests thereof with respect to assets having variable values, the social network interface being configured for each user to access the cloud-computing financial intelligence technology (fintech) platform through one of the differing external social networks to thereby interact with the social network interface via the mobile device, each mobile device including at least a visual display unit and an input device, and responsive to said social network interface determining that a user’s social network account profile is incomplete, a corresponding mobile device’s input device and visual display unit being configured by the social network interface to receive informational data input by the user with respect to the user’s demographic attributes and interests with respect to assets having variable values, said social network interface also including a graphics processing unit for adaptively manipulating data to be displayed by the visual display unit of the mobile device of the user, said graphics processing unit of said social network interface adaptively formatting a graphical user interface of a corresponding visual display unit of a respective mobile device through a selected one of the network-specific interfaces for two-way interaction with users the respective user through the corresponding external social network, said social network interface being configured to notify the user that the user’s pre-existing account profile is incomplete by said graphics processing unit adaptively formatting the visual display unit of the user’s mobile device, said social network interface interactively presenting the asset summary through a plurality of social network mobile applications executing on the plurality of mobile devices, the asset summary presented in a plurality of formats correspondingly adapted to the plurality of social network mobile applications, said graphics processing unit adaptively formatting a display of asset summary of a corresponding asset on the visual display unit of a corresponding user’s mobile device according to the social network mobile application of the mobile device, and said graphics processing unit displaying the asset summary responsive to at least one of the input provided by the user on the corresponding input device or the informational data including demographic attributes of the user and interests of the user with respect to assets, said social network interface also including a virtual market module coupled to said graphics processing unit and being configured to record simulated transactions of at least one asset by the users of the cloud-computing financial intelligence technology (fintech) platform through each network-specific interface, the simulated transactions included in the financial records for the corresponding asset stored in said database, each user conducting simulated transactions of the at least one asset via the respective visual display unit and input device, said virtual market module also being configured to generate an asset trade history of each user based on the user’s recorded simulated transactions of each asset, said virtual market module being further configured to rank the plurality of users according to a simulated financial gain resulting from the simulated transactions and to generate a list of high-ranked users, said graphics processing unit selectively and adaptively formatting data associated with one of the following for display on a corresponding visual display unit of the user’s mobile device according to the social network mobile application of the mobile device: (1) asset trade histories of the users on the list of high-ranked users, (2) asset trade histories of other users having a similar asset trade history to that of the corresponding user, and (3) groups of other users having similar demographic attributes and interests with respect to assets having variable values, said social network interface formatting user interactions with the social network users received from each of the social network mobile applications corresponding to the asset for storage in the financial records for the asset in said database, wherein said social network interface includes an interactivity module coupled to said graphics processing unit and to the social network mobile applications of the mobile devices, said interactivity module configured to record the users interacting with one another through the respective social network mobile applications, said interactivity module also configured to record the users interacting with at least one asset through each network-specific interface and the corresponding social network mobile application, the user interactions including a provision of a user score of a corresponding asset, status updates by the users about a corresponding asset, private messages between the users about a corresponding asset, comments by the users about a corresponding asset, and likes, dislikes, and unlikes by the users about a corresponding asset, each user conducting the user interactions with one another and with the at least one asset on said social network interface through the corresponding social network mobile application via the respective visual display unit and input device, the user interactions with one another and with the assets included in the financial records for the corresponding asset stored in said database, and said graphics processing unit configured to display within each network-specific interface by selectively and adaptively formatting the asset summary in combination with records of the user interactions with one another and with the asset for display on a corresponding visual display unit of the respective user’s mobile device of a plurality of users accessing the cloud-computing financial intelligence technology (fintech) platform through multiple different external social networks according to the social network mobile application of the mobile device.

 

Claim 14  (Original)  The cloud-computing fintech platform of Claim 13, wherein the predetermined factors include market risk, size, value, momentum, asset growth, and operating profitability.

 

Claim 15  (Original)  The cloud-computing fintech platform of Claim 13, wherein said asset modeling subsystem determines the values for each of the predetermined factors according to an average return spread between a top 30% and a bottom 30% of individual assets according to a predetermined asset characteristic.

 

Claim 16  (Original)  The cloud-computing fintech platform of Claim 13, wherein said asset modeling subsystem includes a multivariate filter operating on the dynamic conditional model to recursively determine the dynamic conditional factor premiums over a series of time increments.

 

Claim 17  (Original) The cloud-computing fintech platform of Claim 13, wherein said asset modeling subsystem includes a Sharpe ratio generation module for yielding an asset-specific ratio of average excess return to standard deviation of excess returns on the asset.

 

Claim 18  (Original)  The cloud-computing fintech platform of Claim 13, wherein said social network interface includes:

a virtual market module configured to record simulated transactions of the asset by the plurality of social network users, the simulated transactions included in the financial records for the asset stored in said database, and

an engagement feedback module configured to adaptively display, within each social network mobile application, the asset summary in combination with records of the simulated transactions of the asset, and to thereby direct the plurality of social network users to conduct the simulated transactions of the asset.

 

Claim 19  (Currently amended)  An engagement-operated market prediction system connected by a network to a multiplicity of external cloud servers that are separate and distinct from the system, the system comprising:

       a server connected to the network and configured to search at least a portion of the multiplicity of external cloud servers for asset specific financial data and retrieving said asset specific financial data from at least one of the at least a portion of the multiplicity of external cloud servers and providing two-way data transfer with [[the]] a plurality of mobile electronic computer devices;

a database established in said server and configured to store financial records for at least one asset having a variable value, said financial records including said retrieved asset specific financial data;

an asset prediction subsystem coupled to said database, said asset prediction subsystem executing to generate at least one dynamic conditional model of the asset based on the financial records stored in the database, the dynamic conditional model generated according to a plurality of predetermined fundamental factors based on the financial records, said asset prediction subsystem recursively determining dynamic conditional multifactor premiums over a series of time increments based on the dynamic conditional model and generating an asset return prediction based thereon;

an output module coupled to said database and said asset prediction subsystem, said output module being configured to search and retrieve said asset specific financial data and transfer said retrieved asset specific financial data to said database, said output module executing to reduce the financial records for the asset into an asset summary for export according to the asset return prediction therefor; and

a social network interaction subsystem coupled to said database, said output module, and said asset prediction subsystem, said social network interaction subsystem maintaining a plurality of network-specific interfaces in adaptively selectable manner, each of said network-specific interfaces being configured for compatible interaction with a corresponding one of a plurality of differing external social networks, each of the plurality of external social networks being adapted to include at least one user associated therewith, each of the external social networks being configured to have an account profile for each user thereof, said social network interaction subsystem retrieving informational data from the user’s social network account profile, and the retrieved informational data including demographic attributes of the user and interests thereof with respect to assets having variable values, the social network interaction subsystem being configured for each user to access the engagement-operated market prediction system through one of the external social networks to thereby interact with the social network interaction subsystem via the electronic computer device, the electronic computer device including at least a visual display unit and an input device, and responsive to said social network interaction subsystem determining that a user’s social network account profile is incomplete, a corresponding electronic computer device’s input device and visual display unit being configured by the social network interaction subsystem to receive informational data input by the user with respect to the user’s demographic attributes and interests with respect to assets having variable values, said social network interaction subsystem also including a graphics processing unit for adaptively manipulating data to be displayed by the visual display unit of the electronic computer device of the user, said graphics processing unit of said social network interaction subsystem adaptively formatting a graphical user interface of a corresponding visual display unit of a respective electronic computer device through a selected one of the network-specific interfaces for two-way interaction with users the respective user through the corresponding external social network, said social network interaction subsystem being configured to notify the user that the user’s pre-existing account profile is incomplete by said graphics processing unit adaptively formatting the visual display unit of the user’s electronic computer device, said social network interaction subsystem formatting the asset summary and user input from the users of the social network received through the network-specific interface corresponding to the asset for storage in said database with the financial records for the asset, said graphics processing unit adaptively formatting a display of asset summary of a corresponding asset on the visual display unit of a corresponding user’s electronic computer device responsive to at least one of the input provided by the user on the corresponding input device or the informational data including demographic attributes of the user and interests of the user with respect to assets, said social network interaction subsystem also including a virtual market module coupled to said graphics processing unit and being configured to record simulated transactions of at least one asset by the users of the engagement-operated market prediction system through each network-specific interface, the simulated transactions included in the financial records for the corresponding asset stored in said database, each user conducting simulated transactions of the at least one asset via the respective visual display unit and input device, said virtual market module also being configured to generate an asset trade history of each user based on the user’s recorded simulated transactions of each asset, said virtual market module being further configured to rank the plurality of users according to a simulated financial gain resulting from the simulated transactions and to generate a list of high-ranked users, said graphics processing unit selectively and adaptively formatting data associated with one of the following for display on a corresponding visual display unit of the user’s electronic computer device: (1) asset trade histories of the users on the list of high-ranked users, (2) asset trade histories of other users having a similar asset trade history to that of the corresponding user, and (3) groups of other users having similar demographic attributes and interests with respect to assets having variable values, said social network interaction subsystem also including an interactivity module coupled to said graphics processing unit and configured to record the users interacting with one another and the users interacting with at least one asset through each network-specific interface, the user interactions including a provision of a user score of a corresponding asset, status updates by the users about a corresponding asset, private messages between the users about a corresponding asset, comments by the users about a corresponding asset, and likes, dislikes, and unlikes by the users about a corresponding asset, each user conducting the user interactions with one another and with the at least one asset on said social network interaction subsystem via the respective visual display unit and input device, the user interactions with one another and with the assets included in the financial records for the corresponding asset stored in said database, and said graphics processing unit configured to display within each network-specific interface by selectively and adaptively formatting the asset summary in combination with records of the user interactions with one another and with the asset for display on a corresponding visual display unit of a plurality of users accessing the engagement-operated market prediction system through multiple different external social networks.

 

Claim 20  (Original)  The engagement-operated market prediction system of Claim 19, wherein the predetermined fundamental factors include market risk, size, value, momentum, asset growth, and operating profitability, the values for each of the predetermined fundamental factors being determined according to an average return spread between a top 30% and a bottom 30% of individual assets according to a predetermined asset characteristic.