Abstract: A computer-implemented method for forecasting the pricing of at least one financial instrument, the method comprising a processor and a memory, the method comprising the operations of: generating, by the processor, a user interface on a display, said user interface comprising a user-selectable pricing tab; wherein selecting the pricing tab causes the processor to at least: receive raw data in a plurality of disparate formats; scrub the raw data for anomalies and null values using a set of rules and generate a structured data set; and wherein selecting said pricing tab causes the processor to measure best-fit correlations with respect to a company's fundamental valuation and secondary market pricing for the company's at least one financial instrument across sector peers and market conditions and generate at least one financial instrument pricing output, in real-time.

Abstract: A computerized end-to-end platform configured to receive and process financial market data in real-time, the end-to-end platform comprising: a computer system, the computer system comprising a host processor and host memory; a price analytics engine configured to minimize credit pricing risk and enabling systematic monitoring of credit pricing in a plurality of currencies; a predictive issuance analytics engine configured to systematically identify at least one fixed income market opportunity, wherein the at least one fixed income market opportunity comprises at least one financial instrument, and to provide pre-issuance insights into the fixed income market, and a matching and discovery engine configured to match at least one target institutional buyer with the fixed income market opportunity using a classifier trained on historical and contemporaneous data.

Abstract: A computerized end-to-end platform configured to receive and process financial market data in real-time, the end-to-end platform comprising: a computer system, the computer system comprising a host processor and host memory; a price analytics engine configured to minimize credit pricing risk and enabling systematic monitoring of credit pricing in a plurality of currencies; a predictive issuance analytics engine configured to systematically identify at least one fixed income market opportunity, wherein the at least one fixed income market opportunity comprises at least one financial instrument, and to provide pre-issuance insights into the fixed income market, and a matching and discovery engine configured to match at least one target institutional buyer with the fixed income market opportunity using a classifier trained on historical and contemporaneous data.

Abstract: An interactive digital platform for trading in primary market offerings of securities comprises a pre-deal activity module and a deal execution module. The pre-deal activity module is configured to allow a plurality of users to perform credit and market analysis, predictive analytics, communications functions, relationship management, and information management. The deal execution module configured to allow the plurality of users to perform a deal execution workflow, order management, best execution analysis, documentation management, and regulatory compliance.