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 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, 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.