Itg Software Solutions, Inc.

Virtu Itg Software Solutions LLC

Ian Domowitz

Ananth Madhavan

Jian Yang

Vitaly Serbin

John Krowas

Milan Borkovec

Artem Asriev

Leonid Alexander Zosin

Scott Kartinen

Robert D Sinclair

Yossef Brandes

Sabitha Arputham

Kenneth E Gosier

Brian Kiernan

Kevin O'Connor

Hans Heidle

Mahmoud El-Gamal

Aaron Schweiger

Konstantin Tyurin

Hans G Heidle

The present invention relates generally to electronic trading systems. More particularly, the present invention relates to systems and methods for providing, within an electronic trading process, real-time or near real-time pre- and post-trade analytics to assist traders make the decision of how to trade electronically a particular tradeable asset. Pre- and post-trade analytics can be displayed to a trader without affecting their workflow. Moreover, pre- and post-trade analytics can be used to make trading recommendations, to select or modify a trading strategy, to select and or modify trading destinations, brokers, algorithms or venues, and/or to automatically generate and transmit electronic trade orders or to effect trades.

Electronic trading system and method that provide real-time trade analytics

Methods and systems for optimizing a plurality of portfolios, each portfolio including one or more shares of one or more tradable assets, and may include the steps of: receiving asset data associated with the plurality of the portfolios; receiving one or more optimization constraints including at least one global constraint defining a constraint to be applied across an aggregate of the plurality of portfolios; for each portfolio, optimizing the asset data based on the one or more optimization constraints to create optimized portfolio data; aggregating the optimized portfolio data to create aggregate optimized asset data; determining if the aggregate optimized asset data satisfies the at least one global constraint; and only if the at least one global constraint is satisfied, outputting the optimized asset data.

Method and system for multiple portfolio optimization

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.

Managing security holdings risk during portfolio trading

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.

Minimizing security holdings risk during portfolio trading

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.

Systems, methods and computer program products for adaptive transaction cost estimation

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.

Factor risk model based system, method, and computer program product for generating risk forecasts

A trading platform computer system for detecting an abnormal trading condition of a security uses real-time and estimated values of one or more variables associated with the condition of the security to generate one or more analytic metrics that are compared to empirical distributions based on one or more peer groups for the security. An indicator can then be displayed to a trader as an indication of the abnormal condition.

System and method for generating real-time indicators in a trading list or portfolio

A factor risk model based method for generating risk forecasts. In one embodiment, the method includes: selecting a set of securities; selecting a set of risk factors; determining the risk factor returns; constructing a risk factor covariance matrix; constructing an idiosyncratic variance matrix; determining, for each risk factor, a factor loading coefficient for each selected security; projecting the risk factor covariance matrix into a future forecast; and projecting the idiosyncratic variance matrix 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. In some embodiments, the step of estimating factor loadings includes performing a time series regression to obtain the sensitivity of each stocks' return to variations in the factor's return.

A system and method for detecting an abnormal trading condition of a security uses real-time and estimated values of one or more variables associated with the condition of the security to generate one or more analytic metrics that are compared to empirical distributions based on one or more peer groups for the security. An indicator can then be displayed to a trader as an indication of the abnormal condition.

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New York, NY, United States of America

Ian Domowitz