Abstract: Data transaction-specific data packets transmitted over a data communications network from a plurality of source computer nodes are processed. A first data packet communication session is established between one source computer node and one destination computer node to transport data transaction specific data packets over a first path through the data communications network. A second alternative data packet communication session is established between the one source computer node and the one destination computer node to transport data transaction specific data packets over a second path that is different from and bypasses the first path. When a condition based on the data transaction-specific data packets is identified, electronic processing circuitry initiates an alteration of the first data packet communication session.

Abstract: Data transaction-specific data packets transmitted over a data communications network from a plurality of source computer nodes are processed. A first data packet communication session is established between one source computer node and one destination computer node to transport data transaction specific data packets over a first path through the data communications network. A second alternative data packet communication session is established between the one source computer node and the one destination computer node to transport data transaction specific data packets over a second path that is different from and bypasses the first path. When a condition based on the data transaction-specific data packets is identified, electronic processing circuitry initiates an alteration of the first data packet communication session.

Abstract: Example embodiments include a method and system for managing intraday risk conditions. Data transaction specific data messages transmitted over a data communications network from a plurality of source nodes trading an article of trade with a plurality of destination nodes are processed. The messages include account parameter information. Intraday risk condition data is associated in memory with entity identification data associated with an entity. Using the entity identification data, account parameter information included in the processed data transaction specific data messages is identified that matches the intraday risk condition data for the entity. In response to an identified match, a data transaction involving the entity submitted via a communication session to a corresponding one of the plurality of destination nodes is modified to reduce intraday risk for the entity associated with the data transaction.

Abstract: Computer systems and related methods for managing and protecting consumer data and increasing the accuracy of consumer purchasing alternatives by means of private and secure collection and management of personal online and/or offline consumer data from disparate data sources. In one example, a method for collecting information includes collecting and aggregating a plurality of data relating to a user from a plurality of unaffiliated data sources, wherein the data comprises data of varying formats. Collection of the data is performed in part under authorization by the user. The method may include normalizing the data into a standardized form. The method also includes generating an aggregated data profile associated with the user based on the data that is collected and aggregated. The aggregated data profile gives the user control over their personal data and, with express user permission, provides vendors with a comprehensive view of the user, their interests and characteristics.

Abstract: Example embodiments include a method and system for managing intraday risk conditions. Data transaction specific data messages transmitted over a data communications network from a plurality of source nodes trading an article of trade with a plurality of destination nodes are processed. The messages include account parameter information. Intraday risk condition data is associated in memory with entity identification data associated with an entity. Using the entity identification data, account parameter information included in the processed data transaction specific data messages is identified that matches the intraday risk condition data for the entity. In response to an identified match, a data transaction involving the entity submitted via a communication session to a corresponding one of the plurality of destination nodes is modified to reduce intraday risk for the entity associated with the data transaction.

Abstract: In at least one embodiment, a method and system associated with financial articles of trade may include comparing relevant portions of data pertaining to an attempted transaction, wherein the transaction may pertain to one in which an entity is financially liable but unaware. At least one embodiment includes monitoring market transaction activity data to determine when a trading entity has exceeded an aggregated limit, such as one or more trading sub-limits corresponding to one or more custodial prime brokers facilitating trading for the trading entity. At least one embodiment includes a pre-trade gateway to determine if an order violates a pre-trade risk based on information collected by a front-end analyzer. Possible actions include, but are not limited to, placing a null order, terminating a connection associated with the order, modifying the order so as not to violate a pre-trade risk check, and/or notifications to one or more entities.

Abstract: Computer systems and related methods for managing and protecting consumer data and increasing the accuracy of consumer purchasing alternatives by means of private and secure collection and management of personal online and/or offline consumer data from disparate data sources. In one example, a method for collecting information includes collecting and aggregating a plurality of data relating to a user from a plurality of unaffiliated data sources, wherein the data comprises data of varying formats. Collection of the data is performed in part under authorization by the user. The method may include normalizing the data into a standardized form. The method also includes generating an aggregated data profile associated with the user based on the data that is collected and aggregated. The aggregated data profile gives the user control over their personal data and, with express user permission, provides vendors with a comprehensive view of the user, their interests and characteristics.

Abstract: To process financial articles of trade and manage risk, data messages originating from a plurality of sources arranged to trade at least one of securities, commodities, options, futures and derivatives are collected. The collected data including information on submitted transactions and completed transactions of financial articles of trade. The collected data is analyzed against established user criteria to identify select portions of the collected data. If a match is detected a risk alert signal will be transmitted.

Abstract: To process financial articles of trade, real time data is collected from a plurality of liquidity destinations in trading at least one of securities, commodities, options, futures and derivatives, the real time data including information on submitted transactions of financial articles of trade. The real time data collected from the plurality of liquidity destinations is aggregated. The real time data is streamed in a standardized form. User criteria are established to identify relevant portions of the streamed real time data. The streamed real time data is analyzed according to the user criteria. The analyzed real time data is consolidated into a computer data base.

Abstract: To process financial articles of trade and manage risk, data messages originating from a plurality of sources arranged to trade at least one of securities, commodities, options, futures and derivatives are collected. The collected data including information on submitted transactions and completed transactions of financial articles of trade. The collected data is analyzed against established user criteria to identify select portions of the collected data. If a match is detected a risk alert signal will be transmitted.

Abstract: To process financial articles of trade, real time data is collected from a plurality of liquidity destinations in trading at least one of securities, commodities, options, futures and derivatives, the real time data including information on submitted transactions of financial articles of trade. The real time data collected from the plurality of liquidity destinations is aggregated. The real time data is streamed in a standardized form. User criteria are established to identify relevant portions of the streamed real time data. The streamed real time data is analyzed according to the user criteria. The analyzed real time data is consolidated into a computer data base.

Abstract: To process financial articles of trade, real time data is collected from a plurality of liquidity destinations in trading at least one of securities, commodities, options, futures and derivatives, the real time data including information on submitted transactions of financial articles of trade. The real time data collected from the plurality of liquidity destinations is aggregated. The real time data is streamed in a standardized form. User criteria are established to identify relevant portions of the streamed real time data. The streamed real time data is analyzed according to the user criteria. The analyzed real time data is consolidated into a computer data base.

Abstract: In at least one embodiment, a method and system associated with financial articles of trade may include comparing relevant portions of data pertaining to an attempted transaction, wherein the transaction may pertain to one in which an entity is financially liable but unaware. At least one embodiment includes monitoring market transaction activity data to determine when a trading entity has exceeded an aggregated limit, such as one or more trading sub-limits corresponding to one or more custodial prime brokers facilitating trading for the trading entity. At least one embodiment includes a pre-trade gateway to determine if an order violates a pre-trade risk based on information collected by a front-end analyzer. Possible actions include, but are not limited to, placing a null order, terminating a connection associated with the order, modifying the order so as not to violate a pre-trade risk check, and/or notifications to one or more entities.

Abstract: The present invention relates to systems and methods for monitoring market transaction activity data to determine when a trading entity has exceeded an aggregated limit consisting of one or more trading sub-limits corresponding to one or more custodial prime brokers facilitating trading for the trading entity. The method includes collecting at a centralized hub real time data related to conditions of a trading market from one or more liquidity destinations trading at least one financial article of trade. Trading activity for a trading entity is determined. An aggregate trading limit is determined that is based on one or more trading sub-limits assigned by one or more prime brokers for that trading entity. It is determined when that trading activity exceeds the aggregate trading limit.

Abstract: A method of processing financial articles of trade is provided. The method includes collecting real time data from a plurality of liquidity destinations in trading at least one of securities, commodities, options, futures and derivatives, the real time data including information on submitted transactions of financial articles of trade. The real time data collected from the plurality of liquidity destinations is aggregated. The real time data is streamed in a standardized form. User criteria are established to identify relevant portions of the streamed real time data. The streamed real time data is analyzed according to the user criteria. The analyzed real time data is consolidated into a computer data base.

Abstract: A method of processing financial articles of trade is provided. The method includes collecting real time data from a plurality of liquidity destinations in trading at least one of securities, commodities, options, futures and derivatives, the real time data including information on submitted transactions of financial articles of trade. The real time data collected from the plurality of liquidity destinations is aggregated. The real time data is streamed in a standardized form. User criteria are established to identify relevant portions of the streamed real time data. The streamed real time data is analyzed according to the user criteria. The analyzed real time data is consolidated into a computer data base.