IP Library › Granted Patent US 12,321,324
Granted Patent B2
US 12,321,324 · App. 18/410,445 · Granted Jun 3, 2025

Event-driven computer modeling system for time series data

Inventor: John Scott Kula (Sinking Spring, PA)
Assignee: CHARLES SCHWAB & CO., INC.
G06F16/219G06F16/2322G06F16/2358G06Q40/06
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Quick Facts
Patent No.
US 12,321,324
App. No.
18/410,445
Granted
Jun 3, 2025
Kind
B2
Abstract

A system stores instructions including, in response to receiving user input, identifying a first event type and a first security identifier and obtaining a first set of event dates from the event database and, for each event date of the first set of event dates, obtaining a corresponding event value on the corresponding event date of the first security identifier. The instructions include, for a first day related to each event date of the first set of event dates: obtaining a corresponding value on the first day of the first security identifier, determining a corresponding difference value between the corresponding event value and the corresponding value, and storing the corresponding difference value in a set of difference values. The instructions include calculating an average difference on the first day using the set of difference values and displaying the average difference and an event indicator corresponding to the first event type.

Claims (35)

1. A non-transitory computer readable medium storing computer readable instructions, which when executed by at least one processor of a system, in response to receiving user input, cause the system to perform,

identifying, from the user input, a first event type and a first security identifier;

obtaining, based on the first event type, a first set of event dates from an event database;

for each event date of the first set of event dates,

obtaining, from a historical performance database, an event value on the event date of the first security identifier,

obtaining a related date to the event date, the related date being within a date range of the event date,

obtaining, from the historical performance database, a value on the related date of the first security identifier,

determining a difference value, the difference value being a difference between the event value on the event date of the first security identifier and the value on the related date of the first security identifier, and

storing the difference value in a set of difference values;

calculating an average difference of the set of difference values; and

displaying, on a user device, the average difference and an event indicator corresponding to the first event type.

2. The non-transitory computer readable medium of claim 1 wherein the system is further caused to perform:

obtaining, from the historical performance database, a beginning value of the first security identifier and an end value of the first security identifier;

calculating a normal difference as the end value less the beginning value;

determining an additional return value as the normal difference less the average difference; and

in response to the additional return value being nonzero, displaying, on the user device, the additional return value.

3. The non-transitory computer readable medium of claim 2 wherein the system is further caused to perform:

in response to the additional return value being zero, displaying an indication on the user device that the additional return value is equal to the normal difference.

4. The non-transitory computer readable medium of claim 2 wherein the system is further caused to perform:

determining a corresponding average difference for each day of the date range related to each event date of the first set of event dates;

storing the corresponding average difference for each day of the date range in a set of average differences;

identifying a value indicating a largest change from the set of average differences;

determining the additional return value as the normal difference less the value; and

in response to the additional return value being nonzero, displaying, on the user device, the additional return value.

5. The non-transitory computer readable medium of claim 4 wherein the date range corresponds to the first event type.

6. The non-transitory computer readable medium of claim 4 wherein the date range includes a pre-event date range and a post-event date range.

7. The non-transitory computer readable medium of claim 1 wherein the first security identifier includes: (i) a stock; (ii) an option; or (iii) an exchanged-traded fund.

8. The non-transitory computer readable medium of claim 1 wherein:

a user parameter database includes a set of security identifiers corresponding to a user of the user device, and

the first security identifier includes each security identifier of the set of security identifiers.

9. The non-transitory computer readable medium of claim 1 wherein the first event type includes: (i) a change in commodity value; (ii) a change in interest rate value; or (iii) an occurrence of a natural disaster.

10. The non-transitory computer readable medium of claim 1 wherein receiving the user input includes:

receiving an indication of a user logging in to an account;

identifying the first security identifier as a security included in a corresponding user portfolio; and

identifying the first event type as a preset event type.

Continuity (2)
Continuation 16987356 · Aug 6, 2020
Related Publication 20240143567A1 · May 2, 2024
References Cited (16)
US 10585882B1 · Lintilhac et al. · 2020 [cited by applicant]
US 11163435B2 · Napper · 2021 [cited by examiner]
US 11169980B1 · Revach et al. · 2021 [cited by applicant]
US 20070027787A1 · Tripp · 2007 [cited by applicant]
US 20070050273A1 · Burke · 2007 [cited by examiner]
US 20100153298A1 · Fulshaw et al. · 2010 [cited by applicant]
US 20100211519A1 · Giannetti · 2010 [cited by applicant]
US 20110320340A1 · Falconer et al. · 2011 [cited by applicant]
US 20140188763A1 · Willis · 2014 [cited by applicant]
US 20150161733A1 · Emsbo-Mattingly et al. · 2015 [cited by applicant]
US 20160063631A1 · Wootton et al. · 2016 [cited by applicant]
US 20170109820A1 · Baker et al. · 2017 [cited by applicant]
US 20180204285A1 · Nadler · 2018 [cited by applicant]
US 20210200760A1 · Bui et al. · 2021 [cited by applicant]
US 20210319515A1 · Natali, Jr. · 2021 [cited by examiner]
US 20230401639A1 · Napper · 2023 [cited by examiner]