Software / Linux →Wolfram Finance Platform 14.1.0 Multilingual Linux

Features of Wolfram Finance Platform
World's Ultimate Computation
Pushing the boundaries of computation, Wolfram Finance Platform brings you the world's largest web of algorithms, hybrid symbolic-numeric calculations, high-performance parallel processing, any-precision numerics and automated precision control-the ultimate computation for finance workflows. Combining advanced optimization algorithms with machine learning and probability and statistical capabilities, Wolfram Finance Platform allows you to compute hedging positions, price derivative instruments and more.
Advanced Integrated Development Environment
With a modern, multi-paradigm language; full-featured IDE; and rich, built-in computation support, Wolfram Finance Platform provides a rapid development workflow for computation-centric applications.
Wolfram Finance Platform's high-level language includes support for a wide range of computational tools, such as derivatives pricing, model analysis, optimization methods, time series, probability distributions and statistical tests.
Also tightly integrated in the language is support for interactive visualizations of data and models, including finance-specific charts and indicators.
Real-Time Data
Wolfram Finance Platform enables immediate computation on streaming financial data. Easily flow live Bloomberg Desktop, Bloomberg Server API or Reuters data into any computation or visualization. A coherent design tightly integrates financial feeds with built-in, up-to-date and historical data from Wolfram|Alpha and data from your own SQL, ad NoSQL databases and APIs. Wolfram Finance Platform makes market analysis, back-testing, market monitoring tools and algorithmic trading easy.
High-Performance Computing
Every calculation is scalable to large dimension arrays using parallelization across CPUs and GPUs. Wolfram Finance Platform's high-performance, multi-method algorithms are supported by parallel programming constructs that can distribute calculations across higher performance hardware or ad hoc computing clusters.
Many built-in algorithms automatically parallelize over multicore or CUDA-compatible hardware, when available, to maximize performance. LLVM-backed Wolfram Language code compilation means that your own code runs as fast as the built-in algorithms.
Computation-Driven Report Generation
Empower the decision-making process with user-driven content. Broaden the information pipeline with computable and interactive reports. Deliver dynamic reports locally, over the web or embed them in the production system.