Abstract: Methods and systems for monitoring market data are disclosed. Real time data is collected that is related to conditions of a trading market. Collection occurs at an edge server associated with a liquidity destination trading at least one financial article of trade. The real time data that is collected can also be normalized if desired into a standard form. A user defined criteria is received from a centralized hub. The user defined criteria defines a particular event in the condition. It is then determined when a condition in the trading market matches the event. A response is generated providing notification of the occurrence of the event. The response is sent to the centralized hub for distribution to a user associated with the user defined criteria.

Abstract: Methods and systems for monitoring market data are disclosed. Real time data is collected that is related to conditions of a trading market. Collection occurs at an edge server associated with a liquidity destination trading at least one financial article of trade. The real time data that is collected can also be normalized if desired into a standard form. A user defined criteria is received from a centralized hub. The user defined criteria defines a particular event in the condition. It is then determined when a condition in the trading market matches the event. A response is generated providing notification of the occurrence of the event. The response is sent to the centralized hub for distribution to a user associated with the user defined criteria.

Abstract: A method and system for monitoring market data are disclosed. The method includes collecting real time data that is related to conditions of a trading market. Collection occurs at an edge server associated with a liquidity destination trading at least one financial article of trade. In addition, the real time data that is collected is also normalized into a standard form. A user defined criteria is received from a centralized hub. The user defined criteria defines a particular event in the condition. It is then determined when a condition in the trading market matches the event. A response is generated providing notification of the occurrence of the event. The response is sent to the centralized hub for distribution to a user associated with the user defined criteria.

Abstract: Market data is monitored for purposes of canceling orders for financial articles of trade. Real-time data is collected from multiple liquidity destinations trading at least one financial article of trade. The real-time data comprises disparate data corresponding to associated liquidity destinations. The collected real-time data is normalized into a standardized form. A condition is defined of a trading market that includes one or both of submitted and executed transactions of financial articles of trade over the multiple liquidity destinations. The condition is associated with an entity. Through monitoring of the normalized real-time data, an event is identified in the trading market that matches the condition. Upon identification of the condition, at least one communication session between the entity and a corresponding liquidity destination is terminated causing a process at the corresponding liquidity destination to cancel pending or outstanding orders for financial articles of trades from the entity.

Abstract: The technology described in this application allows a system to manage entities/users and associated Financial Articles of Trade (“FAT”) with different trading systems, institutions and entities. In particular, an Open Order Manager (“OOM”) manages a plurality of users in a user group, and preferably in real-time, monitors FAT transactions initiated and executed by the users. The OOM enables allocation and dynamic reallocation of the FAT amounts between and among “nodes” (e.g., a financial system or financial institution) which can include any subcomponent arrangement that has internal permission privileges which are not shared among other nodes but all of which are under control or ownership of a common party in interest.

Abstract: Market data is monitored for purposes of canceling orders for financial articles of trade. Real-time data is collected from multiple liquidity destinations trading at least one financial article of trade. The real-time data comprises disparate data corresponding to associated liquidity destinations. The collected real-time data is normalized into a standardized form. A condition is defined of a trading market that includes one or both of submitted and executed transactions of financial articles of trade over the multiple liquidity destinations. The condition is associated with an entity. Through monitoring of the normalized real-time data, an event is identified in the trading market that matches the condition. Upon identification of the condition, at least one communication session between the entity and a corresponding liquidity destination is terminated causing a process at the corresponding liquidity destination to cancel pending or outstanding orders for financial articles of trades from the entity.

Abstract: A method and system for monitoring market data. The method includes collecting real time data that is related to conditions of a trading market. Collection occurs at an edge server associated with a liquidity destination trading at least one financial article of trade. In addition, the real time data that is collected is also normalized into a standard form. A user defined criteria is received from a centralized hub. The user defined criteria defines a particular event in the condition. It is then determined when a condition in the trading market matches the event. A response is generated providing notification of the occurrence of the event. The response is sent to the centralized hub for distribution to a user associated with the user defined criteria.