Patent ID: 11875408
Assignee: STATE STREET CORPORATION
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A system comprising:
an interface configured to receive a plurality of information items, each of the information items representing a data point, a cancelation of a previous data point, or a correction of a previous data point;
a processing circuit to
train a machine learning model on historical data to approximate Net Asset Value for a financial portfolio, where the Net Asset Value is a weighted average of prices of funds in the financial portfolio, with historical data items corresponding to prices of a subset of less than all of the funds in the financial portfolio and corresponding historical Net Asset Values, the training comprising:
determining to determine the weights to be assigned to the data items for approximating the Net Asset Value;

receive a request from a requestor for a Net Asset Value of a selected financial portfolio with a timing attribute, the timing attribute to establish a time limit for capturing data items responsive to the request;
input into the machine learning model the data items corresponding to prices for a subset of less than all funds in the selected financial portfolio, wherein the subset includes ones of the funds in the selected portfolio for which current data items may be obtained within a time limit, and
determine a precision of the approximation of the Net Asset Value for the selected financial portfolio, the precision based on the size of the subset of funds for which data items are captured within the time limit, wherein the size of the subset of funds is based on the time limit, and
output an approximation of the Net Asset Value of the selected financial portfolio to the requestor in response to the request to automatically trigger a buy or sell transaction;
the machine learning model to determine the approximation of the Net Asset Value for the selected financial portfolio in real time or near real time before an end of trading of funds in the selected financial portfolio based upon the data items for a subset of funds of the selected financial portfolio and the information items at a particular point in time to approximate the Net Asset Value for the selected financial portfolio at the particular point in time based on the subset of the funds, weights determined for the data items by the machine learning model and the information items; and
data storage configured to store the plurality of information items in an immutable log, wherein the data storage is configured to refrain from changing or deleting any of the information items in the immutable log and the immutable log is configured as a relational database.