Abstract: A system and method calculate an optimal rates in a multi-source price engine in over the counter (OTC) markets. The system and method integrate rates from multiple liquidity sources to generate an output rate that can be transacted upon. Specifically, the system and method calculate a best bid/offer rate from input rates provided by multiple liquidity sources and apply a target spread and minimum profit to the best bid/offer rate to generate an optimal output rate. The optimal output rate may be a function of many factors, including market conditions, customer credit, and the preferences of the market maker or broker.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: A system and method provide price validation for market makers in over the counter (OTC) markets. Specifically, the system compares a new or existing price provided by a market maker with a base rate. If the unilateral difference is less than or equal to a configurable tolerance, the price may be added to validated rates. The unilateral difference is an amount that the new bid source rate is greater than the bid base rate or an amount that the new offer source rate is less than the offer base rate. On the other hand, if the difference is more than the tolerance, the price may be ignored or removed by the system. As a result, the system provides protection against trading on invalid off-market rates or stale rates that is caused by system latency or other types of temporary anomalies.

Abstract: A system and method provide price validation for market makers in over the counter (OTC) markets. Specifically, the system compares a new or existing price provided by a market maker with a base rate. If the unilateral difference is less than or equal to a configurable tolerance, the price may be added to validated rates. The unilateral difference is an amount that the new bid source rate is greater than the bid base rate or an amount that the new offer source rate is less than the offer base rate. On the other hand, if the difference is more than the tolerance, the price may be ignored or removed by the system. As a result, the system provides protection against trading on invalid off-market rates or stale rates that is caused by system latency or other types of temporary anomalies.

Abstract: A system and method calculate an optimal rates in a multi-source price engine in over the counter (OTC) markets. The system and method integrate rates from multiple liquidity sources to generate an output rate that can be transacted upon. Specifically, the system and method calculate a best bid/offer rate from input rates provided by multiple liquidity sources and apply a target spread and minimum profit to the best bid/offer rate to generate an optimal output rate. The optimal output rate may be a function of many factors, including market conditions, customer credit, and the preferences of the market maker or broker.

Abstract: A system and method provide a one-order methodology in over the counter (OTC) markets to enhance execution performance by allowing a single order to be executable in multiple liquidity pools (also referred to as exchange platforms or exchange markets). The liquidity pools typically have different credit constraints and requirements to attract different customers. A customer may have an established trading relationship and credit with multiple liquidity pools. The system and method enable the customer to place an order simultaneously in multiple liquidity pools and receive the best possible price match, also referred to as a fill. Execution certainty is therefore enhanced. The system and method also process an order faster than with traditional order routing processes.

Abstract: An anonymous trading system identifies the best bids and offers from those counterparties with which each party is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price is calculated for each of the traders dealing with that particular financial instrument.

Abstract: An anonymous trading system identifies the best bids and offers from those counterparties with which each party is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price is calculated for each of the traders dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1fb1, WS A1b2, ... WS A2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS Alal ) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS Alal ) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous "Dealable" price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: A method for vocalizing information from an electronic brokerage system (EBS) used in international currency exchange incorporates a specialized grammar to emulate the interpersonal trading style and vernacular used by foreign currency brokers catering to the international banking industry. Used in conjunction with the screen display of an EBS, the vocalizing method makes the system easier for a trader to use by emphasizing information content. The vocalizing method optimizes redundancy of data available to the user to minimize both the ambiguity of data to and the cognitive effort of the user. The vocalizing method chooses what data should be vocalized, when the data should be vocalized, and, in what manner the data should be vocalized. For example, a long form of the offer and bid prices is initially vocalized which includes both figure and pips data, but thereafter only the pips are vocalized. Three categories of messages each provide different data to the system user.

Abstract: An anonymous trading system identifies the best bids and offers from those counterparties with which each party is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous "Dealable" price is calculated for each of the traders dealing with that particular financial instrument.

Abstract: A distributed processing on-line automated trading system uses structured messages to represent each stage in the negotiation between a market maker (quoter) and a potential buyer or seller (requestor). Such a system is subject to uncertainties caused by the fact that a variable time is required for an order (buy or sell) message to be transmitted from the requestor to the quoter, or for a cancel (quote interrupt) message to be transmitted from the quoter to the requestor. Furthermore, it is possible that an equipment failure in the network, either in a communication link or even at the workstation of one of the traders, will prevent a small fraction of such order messages and cancel messages from reaching their intended destination within the relatively short time-frame typically associated with an on-line transaction system.

Abstract: A respective unique dormant address is permanently associated with each of two sibling computers located at a particular node of a communications network. A selected one of the sibling computers is activated by associating an overriding common active node address with the selected computer. Application programs running at other nodes of the network utilize this active node address and thus interface with whichever sibling computer is identified by the active node address. Accordingly, the dormant computer and its physical connection to the network may be monitored by the communications software using its unique dormant address and the dormant computer is always available to replace the active computer in a manner that is transparent to any other computers connected to other nodes of the network.

Abstract: A system and method calculate an optimal rates in a multi-source price engine in over the counter (OTC) markets. The system and method integrate rates from multiple liquidity sources to generate an output rate that can be transacted upon. Specifically, the system and method calculate a best bid/offer rate from input rates provided by multiple liquidity sources and apply a target spread and minimum profit to the best bid/offer rate to generate an optimal output rate. The optimal output rate may be a function of many factors, including market conditions, customer credit, and the preferences of the market maker or broker.

Abstract: A system and method calculate an optimal rates in a multi-source price engine in over the counter (OTC) markets. The system and method integrate rates from multiple liquidity sources to generate an output rate that can be transacted upon. Specifically, the system and method calculate a best bid/offer rate from input rates provided by multiple liquidity sources and apply a target spread and minimum profit to the best bid/offer rate to generate an optimal output rate. The optimal output rate may be a function of many factors, including market conditions, customer credit, and the preferences of the market maker or broker.

Abstract: A system and method calculate an optimal rates in a multisource price engine in over the counter (OTC) markets. The system and method integrate rates from multiple liquidity sources to generate an output rate that can be transacted upon. Specifically, the system and method calculate a best bid/offer rate from input rates provided by multiple liquidity sources and apply a target spread and minimum profit to the best bid/offer rate to generate an optimal output rate. The optimal output rate may be a function of many factors, including market conditions, customer credit, and the preferences of the market maker or broker.