Nasdaq Technology AB

A user terminal for communicating with a computer server is operated on behalf of a first user (a second user terminal is operated on behalf of a second user). The user terminal transmits to the computer server pre-trade information including an order and receives first offset information that indicates a first price offset value, which is different from a second price offset value sent to the second user terminal. The terminals receive a single message from the server that indicates a market price but does not include the first price offset value or the second price offset value. The user terminal modifies the market price using the first price offset value to obtain a first actual price different from a second actual price corresponding to a modification of the market price based on the second price offset value.

A computer system is provided for retrospectively processing a data structure that includes a plurality of entries. The computer system determines if certain data transactions requests that have been recorded in the data structure could have been executed differently (e.g., by being processed at an earlier point in time). For a given entry in the data structure, the system determines if data transaction request could have at least partly succeeded against a prior recorded state of at least one of two ordered lists of pending data transaction requests. Another entry is then found that caused the initial entry to fail in execution and a time delta is stored between the timestamp of the another entry and the timestamp of the initial entry.

Extreme but plausible system scenarios related to a system are generated using generative neural networks. Evaluation change events for multiple data categories in the system are determined for repeated time intervals over a time period to produce training data, and one or more training data sets are determined based on the training data. An iterative process includes processing noise associated with multiple random variables by a first neural network of a Generative Adversarial Network (GAN) to produce generated input data; processing by a second neural network of the GAN the generated input data and the one or more training data sets to produce a loss value; and modifying the first and second neural networks based on the loss value. The iterative process repeats until the loss value reaches a convergence value resulting in a trained first neural network of the GAN. The trained first neural network generates evaluation change events for the multiple data categories to produce generated change events. The generated change events are filtered to identify extreme but plausible scenarios using a predetermined change measure with one or more predetermined thresholds. Information concerning the extreme but plausible scenarios is provided to a user interface and can be used for system stress testing.

The described technology relates to systems and techniques for providing efficient and easy-to-use user-customizable extract templates for running queries against databases. The user-customizable extract templates enable customization of the same predefined query according to the requirements and privileges of respective users. In particular, embodiments enable customization of queries by users themselves, reducing or altogether eliminating having developers to modify the query or associated extract templates while still allowing the data owners or administrators to control access to the data.

Example embodiments of a data processing method, system, and non-transitory computer-readable medium are described.

A computer is provided that includes a search engine. The search engine is configured to receive a search request and conduct a search against a database. Each record within the database includes or is associated with a display criteria or profile that specifies when data from that record can be included into a response to a search.

Methods, apparatus, and systems for processing data transactions use a sequencer communicating with a plurality of data processors and provide improved performance and lower latency.

The described technology relates to electronic continuous trading systems, and matching data records representing inventories with variant characteristics such as, variant length, variant data types, etc. Example implementations provide for generating instrument descriptors that include unitary-valued attributes and set-valued attributes, and the use of both types of attributes in trade decision making.

Example embodiments of a data processing method, system, and non-transitory computer-readable medium are described.

The described technology relates to a publish-subscribe message framework in which an application, decomposed to a plurality of processing stages, is run by executing respective processing stages of the application asynchronously and simultaneously with each other. Communications between the respective processing stages may exclusively be in accordance with the publish-subscribe execution model. The described publish-subscribe framework provides for processing stages to be executed in a multi-process and/or multi-threaded manner while also enabling the distribution of the processing stages to respective processing resources in a multi-processor/multi-core processing environment. An example electronic exchange application and a corresponding example exchange gateway application are described.