Abstract: Computer-implemented methods and systems, including a user interface, that (a) calculate and display a graphical representation of a market implied probability distribution for the future prices of a tradable asset, which is derived from real time prices of the options on the asset, (b) permit the user to customize the market implied probability distribution graph to reflect the user's own view on the probability that the future price of the asset will be within a price range, and (c) propose an optimal trading strategy implemented as a combination of option orders, which strategy is optimized to be profitable assuming the customized probability distribution (if any). The combination orders may be modified and/or added to by the user.

Abstract: Computer-implemented methods and systems, including a user interface, that (a) calculate and display a graphical representation of a market implied probability distribution for the future prices of a tradable asset, which is derived from real time prices of the options on the asset, (b) permit the user to customize the market implied probability distribution graph to reflect the user's own view on the probability that the future price of the asset will be within a price range, and (c) propose an optimal trading strategy implemented as a combination of option orders, which strategy is optimized to be profitable assuming the customized probability distribution (if any). The combination orders may be modified and/or added to by the user.

Abstract: Techniques for creating a complex order and routing the complex order to one or more exchanges to achieve optimal pricing without exposing the customer to the conventional legging risks associated with the trading of complex orders are provided. The trading system of the present disclosure provides this mechanism by routing the order to obtain the best possible price (see FIG. 4) and by accepting the risk of a partially executed order where one leg is executed and the other is not (see FIG. 5).

Abstract: A method for performing bond trading transactions between a trading platform and a Customer and which allows its bond customers to trade with each other and thus, providing additional liquidity. The method includes receiving, by the trading platform, bond pricing information for a particular bond from a first bond buyer/seller, receiving a bond trading transaction for the particular bond from the Customer and determining whether the bond trading transaction for the particular bond can be executed. If the bond trading transaction can be executed, the bond trading transaction for the particular bond is placed on an internal order book.

Abstract: Techniques for creating a complex order and routing the complex order to one or more exchanges to achieve optimal pricing without exposing the customer to the conventional legging risks associated with the trading of complex orders are provided. The trading system of the present disclosure provides this mechanism by routing the order to obtain the best possible price (see FIG. 4) and by accepting the risk of a partially executed order where one leg is executed and the other is not (see FIG. 5).