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 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.
Abstract:
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.
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 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:
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 said plurality of said portfolios; receiving optimization constraints including at least one global constraint defining a constraint to be applied across an aggregate of the plurality of portfolios; receiving one or more objectives to be applied to individual portfolios during optimization; aggregating the optimized portfolio data to create aggregate optimized asset data; determining if the aggregate optimized asset data satisfies the global constraint; and only if said at least one global constraint is satisfied, outputting said optimized asset data.