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Tag:Analytics

FINCAD Analytics Suite for Developers 2024.1

FINCAD Analytics Suite for Developers is an SDK containing FINCAD’s comprehensive analytics library with over 1,800 functions. These functions cover all major asset classes as well as a full range of exotic and vanilla instruments. It also provides code samples and step-by-step sample applications in every supported programming language to help you to embed FINCAD Analytics into your applications.

FINCAD Analytics Suite for Excel 2024.1

FINCAD Analytics Suite for Excel 2024.1 is an easy-to-use Microsoft® Excel add-in application containing financial functions and professionally designed and developed workbook solutions for valuing and measuring the risk of financial securities and derivatives. The entire Suite has many modeling functions covering major asset classes: commodities, credit, equities, fixed income, foreign exchange, inflation, interest rates and mortgage-backed securities. It also contains over 200 Professionally Developed Workbook Solutions that combine FINCAD analytics with advanced Excel functionality. FINCAD analytics, a core part of FINCAD Analytics Suite for Excel 2024.1, are used by over 35,000 business users in over 80 countries. FINCAD Analytics Suite for Excel 2024.1 is used to: Confirm deal pricing Assess market risk Mark-to-market positions and portfolios Evaluate investment alternatives Run...

Altair Analytics Workbench 2023.5 Win/Linux

Altair Analytics Workbench is a sophisticated coding environment that’s ideal for developing models and programs written in the SAS language. With it, developers can include Python, R, or SQL code in their SAS language programs, and it requires no third-party software to run SAS language programs. The platform also provides a drag-and-drop workflow where users can develop models and programs without writing any code. Key Features Visual Workflow Environment Build workflows with drag-and-drop interactive blocks to provide the perfect combination of low-level data engineering facilities for retrieving, blending, and preparing data for analysis, along with machine learning features that let you build, explore, and validate reproducible predictive models. Enhance workflows with programmable blocks coded in the languages of SAS, SQL,...

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