System and method for selecting a financial instrument to trade based on a match between a preferred measure of expected return of a user in computer platforms configured for improved electronic execution of electronic transactions

Abstract

Systems and methods of the present disclosure enable an electronic transaction platform that receives a request to begin the electronic communication session identifying a preferred instrument feature relating to the target financial instrument to be traded. The electronic transaction platform receive instrument feature data relating to characteristics of financial instruments available to trade, and clusters, using a clustering machine learning model, the financial instruments into instrument feature groups based on the characteristics. The target financial instrument is classified with the clustering machine learning model into one of the instrument feature groups based on the preferred instrument feature to identify similar financial instruments. A dealer user is identified to act as an intermediate entity in a transaction with the similar financial instruments and a graphical user interface is presented to the user with active links to connect to the dealer user for each similar financial instrument.