Company Filing History:
Years Active: 2024-2025
Title: Kevin Kimmel: Innovator in Market Data Processing
Introduction
Kevin Kimmel is a notable inventor based in Hoboken, NJ (US), recognized for his contributions to the field of market data processing. With a total of four patents to his name, Kimmel has developed innovative methods that enhance the efficiency of data collection and parsing from various sources.
Latest Patents
Kimmel's latest patents include a method and system for collecting and parsing market data from various sources. This invention focuses on converting unstructured text messages into usable order details. The system parses component parts corresponding to structure and quote data indicative of a transaction from these unstructured messages. The parsing process involves matching character strings in the messages with a hierarchy of expressions and identifying the component parts based on the matching and transaction deal status. The unstructured text messages are displayed in a first window of a graphical user interface (GUI) in real-time, automatically highlighting the identified component parts and providing a selectable web link to launch a web interface. The identified component parts are then displayed in a second window of the GUI in a normalized format in real-time. An editable order ticket comprising the component parts is created upon selection of the selectable web link in the first window and is displayed in a newly launched web interface.
Career Highlights
Kimmel has made significant strides in his career, particularly through his work at Ice Data, LP. His innovative approaches have not only advanced the technology in market data processing but have also set new standards in the industry.
Collaborations
Some of Kimmel's notable coworkers include Jacob E Pechenik and Gregory Campbell, who have collaborated with him on various projects within the company.
Conclusion
Kevin Kimmel's work in the field of market data processing exemplifies the impact of innovation on technology. His patents reflect a commitment to improving the efficiency and usability of data systems, making him a significant figure in his field.