Wolfram Finance Platform 13.3.0 (x64)

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Free Download Wolfram Finance Platform 13.3.0 | 6.7 Gb
The Wolfram Research development team is pleased to announce the availability of Finance Platform 13.3.0 is finance tool that harnesses the computational power of Wolfram's Mathematica software and applies it to finance workflows.
Owner:Wolfram Research
Product Name:Finance Platform
Version:13.3.0
Supported Architectures:x64
Website Home Page :[URL="http://www.wolfram.com"]www.wolfram.com[/URL]
Languages Supported:english
System Requirements:Windows, macOs & Linux *
Size:6.7 Gb



Mathematica 13.3 | June 2023 Reference
Version 13.3 introduces new functions that utilize large language models, as well as expands functionality for machine learning, mathematical computations, foreign function interface and more.

• Added many new functions for calling large language model (LLM) functionality programmatically and for allowing LLMs to access Wolfram Language tools: ChatObject, ChatEvaluate, LLMFunction, LLMSynthesize, LLMTool and more.
  
• Edit properties for a given kernel with KernelConfigurationEdit.
  
• Symbolic representation and manipulation of unit tests with TestCreate, TestObject, TestEvaluate and TestEvaluationFunction.
  
• Compute vector line integrals with LineIntegrate and vector surface integrals with SurfaceIntegrate.
  
• Perform complex contour integration with ContourIntegrate.
  
• Support for the Appell bivariate hypergeometric special functions: AppellF2, AppellF3 and AppellF4.
  
• Multiple new functions added and updated to represent finite fields and finite field elements and perform polynomial computations over finite fields, including FiniteField, FiniteFieldElement, FiniteFieldEmbedding, FiniteFieldElementNorm, MinimalPolynomial and MultiplicativeOrder.
  
• Multiple linear algebra functions have been updated to support structured matrices with compact representation and fast computation, controlled by the new TargetStructure option.
  
• Statically or dynamically highlight specific elements in visualizations with Highlighted and set global highlighting effects for visualizations with DescriptionHighlighting.
  
• Calibrate a system model's parameters with measurement data using SystemModelCalibrate.
  
• Publish 3D graphics and geometries to AR devices with ARPublish.
  
• Added support for the "USD" and "GLTF" AR formats for mobile devices.
  
• Measure how different two regions are with RegionHausdorffDistance and compute the farthest distance between two regions with RegionFarthestDistance.
  
• Compute the minimal enclosing ball for a set of points with CircumscribedBall and compute the maximum inscribed ball with InscribedBall.
  
• Haloing creates a halo around a graphics object, typically used for text labels.
  
• ImageSynthesize generates an image from a textual prompt.
  
• FindImageShapes finds common shapes (lines, circles, ellipses, ...) in an image.
  
• New functions to represent, load and get pointers to functions in dynamic libraries: ForeignFunction, ForeignFunctionLoad and ForeignPointerLookup.
  
• Several functions added for raw memory operations: RawMemoryAllocate, RawMemoryFree, RawMemoryRead, RawMemoryWrite, RawMemoryImport and RawMemoryExport.
  
• Support for memory-managed objects with ManagedObject, CreateManagedObject and UnmanageObject.
  

Wolfram Finance Platformis a suite of solutions that combines computation, data analysis, visualization, and reporting. Its Bloomberg feed link feature of the software allows real-time trading data to be fed directly into computations or visualizations. Finance Platform's high-level language includes support for computational tools, such as derivatives pricing, model analysis, optimization methods, time series, probability distributions, and statistical tests. It also has support for interactive visualizations of data and models, including finance-specific charts and indicators. Calculation is scalable using parallelization across CPUs and GPUs using 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.

Finance Data Feeds in Wolfram Finance Platform

Founded by Stephen Wolfram in 1987,Wolfram Researchis one of the world's most respected computer, web and cloud software companies-as well as a powerhouse of scientific and technical innovation. As a pioneer in computation and computational knowledge, we have pursued a long-term vision to develop the science, technology and tools to make computation an ever-more-potent force in today's and tomorrow's world.



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