Nasdaq Technology AB

A method of processing exchange system trading data is disclosed. In one embodiment, the method comprises receiving an order data message from a matching engine of an automated exchange. The order data message has first data format and it also comprises identification information associated with a trading entity. The received data message is then converted into a new data message of a new data format, which is different from the data format of the received order data message. Also, the trading entity from which the received order data message is originating is identified. Subsequently, the new data message having the new data format can be transmitted to a plurality of client devices associated with the identified trading entity. This may allow for all, or at least a majority of client devices, of the identified trading entity to get an overview of the total order activity of the identified trading entity.

A computer system includes a memory that stores two lists of electronic data transaction requests. Stored and received data transaction requests are associated with a size value and a counter-size requirement value. When data transaction requests are received they are added to one of the two lists and list to which the data transaction request is added is set to a working side. A working order is selected from the working side and a first sum of size values of data transaction requests is calculated from the working side. A second sum of size values is calculated from the non-working side from data transaction requests that have a counter-size requirement value that is less than the first sum. If the counter-size requirement value is less than or equal to the second sum, the electronic data requests from the respective lists are matched.

A computer system includes a memory to store a first set of data including data processing requests or data processing execution results and computer hardware to determine an input relating to a load and filter the first set of data to extract, based on the input relating to the load, a second set of data from the first set of data, thereby leaving a remaining set of data. The second set of data and the remaining set of data both include data processing requests or data processing execution results input or generated by the computer system. The computer hardware prepares electronic messages to be transmitted over a communications network to a plurality of remote user terminals. The electronic messages contain the second set of data but do not contain the remaining set of data. The computer hardware controls a frequency at which the electronic messages containing the second set of data are to be transmitted over the communications network based on the input relating to the load.

A computer system is provided that stores reference data records and event data records that each correspond to one of the reference data records. Tokens are generated from the reference data records and sorted into subsets. Each reference data record that has a given token is included in the corresponding subset. A correlation value is calculated between members (e.g., the reference data records) of the subsets. The correlation values are calculated by determining a common time, calculating a reference value, calculating a percentage difference from the reference value, and then determining a correlation value (e.g., a correlation coefficient) using the percentage difference.

A computer system includes a memory that stores two lists of electronic data transaction requests. Stored and received data transaction requests are associated with a size value and a counter-size requirement value. When data transaction requests are received they are added to one of the two lists and list to which the data transaction request is added is set to a working side. A working order is selected from the working side and a first sum of size values of data transaction requests is calculated from the working side. A second sum of size values is calculated from the non-working side from data transaction requests that have a counter-size requirement value that is less than the first sum. If the counter-size requirement value is less than or equal to the second sum, the electronic data requests from the respective lists are matched.

An example computer system is configured to access broker order data and executed trade information in a memory, and to correlate the executed trade information and broker order data. The computer system is further configured to generate a view arranged to simultaneously display order spread, trade price for executed trades, and order book depth over a time period, based upon the correlated data. The broker order data represent orders transmitted by an external computer to an electronic exchange to trade in a tradeable instrument. The executed trade information includes information on trades executed by the electronic exchange based on the said orders.

A computer system includes a memory to store a first set of data including data processing requests or data processing execution results and computer hardware to determine an input relating to a load and filter the first set of data to extract, based on the input relating to the load, a second set of data from the first set of data, thereby leaving a remaining set of data. The second set of data and the remaining set of data both include data processing requests or data processing execution results input or generated by the computer system. The computer hardware prepares electronic messages to be transmitted over a communications network to a plurality of remote user terminals. The electronic messages contain the second set of data but do not contain the remaining set of data. The computer hardware controls a frequency at which the electronic messages containing the second set of data are to be transmitted over the communications network based on the input relating to the load.

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.

An asynchronous distributed computing system with a plurality of computing nodes is provided. One of the computing nodes includes a sequencer service that receives updates from the plurality of computing nodes. The sequencer service maintains or annotates messages added to the global state of the system. Updates to the global state are published to the plurality of computing nodes. Monitoring services on the other computing nodes write the updates into a locally maintained copy of the global state that exists in shared memory on each one of the nodes. Client computer processes on the nodes may then subscribe to have updates “delivered” to the respective client computer processes.

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.