Abstract: The present invention relates to a compliance system that allows users to verify that trading rules and regulations are being followed throughout the intraday trading activity. In particular, the systems and methods of the present invention allow a user to verify compliance with trading rules locally at a trading terminal.

Abstract: One or more aspects comprise: (a) receiving confidential information that comprises data regarding first and second market participants; (b) receiving order and targeting parameters from said first participant; (c) receiving confidential trading interest information from said second participant; (d) identifying said second participant as a participant likely to take a contra side of said order; (e) routing said order to said second participant without revealing said first participant's identity or other confidential information regarding said first market participant, and wherein no information regarding said second participant or said confidential trading interest information received from said second participant is transferred to said first participant; and (f) producing a targeted dissemination list of market participants based on said confidential information and said order and targeting parameters, and wherein identifying a second participant that is most likely to take a contra side of said order is bas

Abstract: A method and system for forecasting the transaction cost of a portfolio trade execution that may be applied to any given trade strategy or an optimal trade strategy that minimizes transaction costs. In preferred embodiments, a server comprises one or more computers that act as an automated forecaster whereby it accepts user-defined input variables from customers and generates a transaction cost estimation report based on those variables. The server is programmed with specific transaction cost estimation and optimization algorithms that model the transaction costs of a specific trade execution based on the user's trading profile and market variables.

Abstract: The present invention provides methods and systems for managing short-term risk to a portfolio of securities holdings while executing an outstanding trade list. The methods and systems may include steps of determining covariances between securities in the outstanding trade list and securities in the portfolio of holdings; receiving a risk variable, at least one constraint on the execution of a trade, and a proposed quantity representing a portion of said outstanding trade list desired to be executed at a particular time; and determining an immediately executable trade list based at least in part on the covariances and risk variable. The executable trade list must satisfy all of the trade constraints and also must be substantially equal to or less then the proposed quantity.

Abstract: A system and method to allow service consumers to access financial services deployed using various integration technologies with optimal latency through a technique of data-driven bus arbitration and the use of on-demand delivered bus integration plug-in components.

Abstract: A method and computer program product for minimizing short-term risk to a portfolio of securities holdings during implementation of executing an outstanding trade list of securities to be traded, takes into account covariances between securities in the outstanding trade list and between securities in the outstanding trade list and securities in the portfolio of holdings so as to minimize risk to the portfolio of holdings as well as to a residual trade list of unexecuted orders during said implementation.

Abstract: A computer-implemented system and method for executing trades of financial securities according to a combination passive/aggressive trading strategy that reliably executes trades of lists of securities or blocks of a single security within a desired time frame while taking advantage of dynamic market movement to realize price improvement for the trade within the desired time frame. A passive trading agent executes trades at advantageous prices by floating portions of the order at the bid or ask to maximize exposure to the inside market and attract market orders. An aggressive agent opportunistically takes liquidity as it arises, setting discretionary prices in accordance with historical trading data of the specified security.

Abstract: A method, system and computer program product for forecasting the transaction cost of a portfolio trade execution that may be applied to any given trading strategy or an optimal trading strategy that minimizes transaction costs. The system accepts user-defined input variables from customers and generates a transaction cost estimation report based on those variables. Two models are utilized: discretionary and non-discretionary. A specific transaction cost estimation and optimization is performed that model the transaction costs of a specific trade execution based on the user's trading profile and market variables.

Abstract: A system and method for allowing market participants to evaluate the likelihood of finding hidden volume. The model can predict hidden volume and assess the probability that a market order will be executed within the spread and better than the mid-quote. The cost per immediate execution can be assessed.

Abstract: A system, method and computer program product are provided for forecasting the transaction costs of a trade using empirical data and user-defined modeling constraints based on real-time data regarding changes in market conditions. In preferred embodiments, the invention acts as a forecaster whereby it accepts inputs from customers and identifies real-time market analytics, and provides dynamically adjusted ex ante cost estimates and metrics for the prevailing market conditions. Specific cost estimation and optimization algorithms can be provided to model transaction costs of a specific trade based on empirical data and real-time variables.

Abstract: System, method, and program for preventing gaming in a trading system. The systems, methods and programs can receive an order from a trader to trade securities in an alternative trading system, determine if gaming is occurring, set a price collar for the order, and submit the order to the alternative trading system with the price collar.

Abstract: A system and method for determining fair value prices of financial securities of international markets includes steps of selecting a universe of securities of a particular international market, computing overnight returns of each security in the selected universe over a predetermined past period of time, selecting at least one return factor of a domestic financial market from a plurality of return factors, computing, for each selected return factor, the return factor's daily return over said predetermined past period of time, calculating, for each selected return factor, a return factor coefficient for each security in the selected universe by performing a time series regression to obtain the contribution of each return factor's return to the security's overnight return, and storing each calculated return factor coefficient in a data file.

Abstract: A method and system for forecasting the transaction cost of a portfolio trade execution that may be applied to any given trade strategy or an optimal trade strategy that minimizes transaction costs. In preferred embodiments, a server comprises one or more computers that act as an automated forecaster whereby it accepts user-defined input variables from customers and generates a transaction cost estimation report based on those variables. The server is programmed with specific transaction cost estimation and optimization algorithms that model the transaction costs of a specific trade execution based on the user's trading profile and market variables.

Abstract: Systems and methods are provided for maintaining neutrality while trading a list of securities using an algorithmic trading facility coupled with at least one destination. This destination includes at least one alternative trading system (ATS). This facility is coupled, via an electronic data network, to a plurality of trading clients, and configured to receive a trade request to trade a list of securities from a trading client. This request includes user defined trading constraints that are used to generate and transmit trade orders to at least one ATS. The orders are transmitted based on trading data related to the destinations, the trade list, and the trading constraints. The facility can identify each executed trade corresponding to the trade orders and calculate a trade imbalance. The facility can determine whether the trade imbalance exceeds the trading constraints, and reallocate one or more of said submitted orders based on this determination.

Abstract: A system and method for allowing market participants to evaluate the likelihood of finding hidden volume. The model can predict hidden volume and assess the probability that a market order will be executed within the spread and better than the mid-quote. The cost per immediate execution can be assessed.

Abstract: A system, method and computer program product are provided for forecasting the transaction costs of a trade using empirical data and user-defined modeling constraints based on real-time data regarding changes in market conditions. In preferred embodiments, the invention acts as a forecaster whereby it accepts inputs from customers and identifies real-time market analytics, and provides dynamically adjusted ex ante cost estimates and metrics for the prevailing market conditions. Specific cost estimation and optimization algorithms can be provided to model transaction costs of a specific trade based on empirical data and real-time variables.

Abstract: A computerized method for generating risk forecasts is provided. A set of securities is selected. A set of risk factors is selected. The risk factor returns a determined. A risk factor covariance matrix and an idiosyncratic variance matrix are constructed. For each risk factor, a factor loading coefficient is determined for each selected security. The risk factor covariance matrix is projected into a future forecast. The idiosyncratic variance matrix is projected into a future forecast. The factor loading coefficients, the future forecast of the risk factor covariance matrix, and the future forecast of the idiosyncratic variance matrix can be used to determine a forecast of the variance-covariance matrix for the selected securities.

Abstract: System, method, and program for preventing gaming in a trading system. The systems, methods and programs can receive an order from a trader to trade securities in an alternative trading system, determine if gaming is occurring, set a price collar for the order, and submit the order to the alternative trading system with the price collar.

Abstract: A computer-implemented system and method for executing trades of financial securities according to a combination passive/aggressive trading strategy that reliably executes trades of lists of securities or blocks of a single security within a desired time frame while taking advantage of dynamic market movement to realize price improvement for the trade within the desired time frame. A passive trading agent executes trades at advantageous prices by floating portions of the order at the bid or ask to maximize exposure to the inside market and attract market orders. An aggressive agent opportunistically takes liquidity as it arises, setting discretionary prices in accordance with historical trading data of the specified security.

Abstract: A system and method for determining fair value prices of financial securities of international markets includes steps of selecting a universe of securities of a particular international market, computing overnight returns of each security in the selected universe over a predetermined past period of time, selecting at least one return factor of a domestic financial market from a plurality of return factors, computing, for each selected return factor, the return factor's daily return over said predetermined past period of time, calculating, for each selected return factor, a return factor coefficient for each security in the selected universe by performing a time series regression to obtain the contribution of each return factor's return to the security's overnight return, and storing each calculated return factor coefficient in a data file.