Apparatus and method for option data object performance prediction and modeling
US11087045B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2017 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Sep 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus, method, and computer program product are provided to predict and model the performance of option data objects prior to the introduction of such option data objects into a network environment through the application of specific rule sets that are applied in a multi-stage arrangement on sets of extracted option data object parameters. In some example implementations, option data object parameters are extracted and parsed into sets of categorical and non-categorical parameters, which may be both quantitative and qualitative, and transmitted to one or more predictive models. Through the operation of the predictive models, the option data object parameters are transformed into a weighted value associated with the option data object that reflects a predicted performance level of the option data object and can be used when comparing multiple option data objects against each other.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.