Nasdaq has filed a patent for a method and system that facilitates access to recorded data. The system includes a processor, communication interface, and memory. It receives data, compresses it, creates data units with identifiers, establishes an index, searches for data units using the index, decompresses them within a timing window, and generates a view with the decompressed data units. This system aims to detect market abuses among market transactions. GlobalData’s report on Nasdaq gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Nasdaq, AI for workflow management was a key innovation area identified from patents. Nasdaq's grant share as of September 2023 was 49%. Grant share is based on the ratio of number of grants to total number of patents.

A system for accessing and analyzing recorded market data

Source: United States Patent and Trademark Office (USPTO). Credit: Nasdaq Inc

A recently filed patent (Publication Number: US20230316743A1) describes a system designed to detect market abuses in market transactions. The system includes a processor, a communication interface, and a memory that stores computer-readable instructions. When executed, these instructions allow the system to receive data, compress it using a compression technique, create data units from the compressed data, and establish an index associated with these data units. The index includes multiple index entries, each consisting of an identifier and memory address parameters that indicate the memory locations containing the data units. The system can search the memory using the established index, decompress the data units within a specific timing window, and generate a view that includes the decompressed data units within that window.

The patent also mentions that each index entry may include timing parameters, and the data units can be decompressed within the timing window using these parameters. The index can indicate the physical memory location of each data unit. Additionally, the system can search in both real-time and historical analysis modes by utilizing a first memory for real-time analysis and a second memory for historical analysis.

The compression technique used by the system can be based on software libraries such as zlib, bzip2, or snappy. The received data can be separated into data subsets, which can be configured in size to affect the speed of scanning and the size of the index. Larger subsets result in faster scanning but a larger index, while smaller subsets lead to slower scanning but a smaller index.

The patent also describes a non-transitory computer-readable storage medium that stores instructions for an information processing apparatus. These instructions, when executed by a processor, enable the apparatus to apply a compression technique to received data, create data units, establish an index, search the memory, decompress data units within a timing window, and generate a view.

Furthermore, the patent includes a method for accessing recorded data. This method involves applying a compression technique to received data, creating data units, establishing an index, searching the memory, and decompressing data units within a timing window. The method may also include generating a view that includes the decompressed data units within the timing window.

Overall, this patent presents a system, storage medium, and method for accessing recorded data and detecting market abuses in market transactions. The system utilizes compression techniques, data units, and an index to efficiently process and analyze data within specific timing windows.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.