Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for routing a financial instrument order incorporating dark pools and at least one electronic communication network (ECN) or exchange. The financial instrument order includes an identification of a financial instrument, a bid or ask price, and a number of units to be traded. A ping order of the dark pools is determined. The financial instrument order is routed to a top dark pool as an immediate or cancel order. If the financial instrument order is not complete, the ping order is updated by removing the top dark pool. If any dark pools remain in the updated ping order, the financial instrument order is routed to the next dark pool. This process continues until all of the dark pools have been pinged or the financial instrument order is complete. If the financial instrument order is not complete, the financial instrument order is routed to the ECN or exchange.

Abstract: Systems and methods for trading financial assets are disclosed. Financial assets may be traded by locally providing quotes for a financial asset in a foreign currency, locally receiving orders for the financial asset in the foreign currency, and locally filling the orders in the foreign currency. Hedged quotes for the financial assets may be developed for trading, in a first currency, financial assets priced in a second currency.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.