Finance Platform – New in Finance Platform 3

What's New in Wolfram Finance Platform 3

Based on Wolfram Language Version 12, Wolfram Finance Platform 3 expands connectivity to Bloomberg and Reuters feeds, blockchain and databases, and expands capabilities for machine learning and optimization.

Major new features in Finance Platform 3 include:

Wolfram Finance Platform 3: Bloomberg Data Feed

New Financial Data Feeds

New support for the Bloomberg data API and Reuters data together with richer access to the Bloomberg Desktop connection and Wolfram|Alpha data to give you immediate computable access to the world's financial data.

Documentation: Reuters »
Documentation: BloombergTerminal »
Documentation: BloombergDataLicense »
Wolfram Finance Platform 3: Machine Learning

Machine Learning

Machine learning capabilities have been extended with new neural network layers and multi-GPU training. New capabilities powered by deep learning technology include tools for automated anomaly detection and synthesis of missing values in high-dimensional data.

New in Mathematica 12: High-Level Machine Learning »
New in Mathematica 12: Neural Network Framework »
Documentation: Machine Learning »
Documentation: Neural Networks »
Wolfram Finance Platform 3: Blockchain


Read, write and analyze data on common blockchain technologies with full cryptographic support for full integration with distributed ledgers and smart contracts.

New in Mathematica 12: Blockchain »
Documentation: Working with Blockchains »
Wolfram Finance Platform 3: Data Connectivity

Data Connectivity

New data connectivity tools automate connections to relational databases and SPARQL endpoints, with full integration with the Wolfram Knowledgebase entity system. Faster spreadsheet and CSV import and now over 225 data formats supported.

New in Mathematica 12: Relational Database Connectivity »
New in Mathematica 12: RDF and SPARQL »
Documentation: Working with Relational Databases »
Documentation: Graph Store Overview »
Wolfram Finance Platform 3: Python Client Library

Python Client Library

Access the whole Wolfram Finance Platform technology stack from native Python code for easier integration into existing code bases.

Documentation: Wolfram Client Library for Python »
Wolfram Finance Platform 3: Wolfram Language Compiler

Wolfram Language Compiler

The new LLVM-based compiler technology allows you to write faster Wolfram Language code and compile to external libraries.

New in Mathematica 12: Code Compilation »
Documentation: Code Compilation »
Wolfram Finance Platform 3: Text Processing

Text Processing

Analyze more nontraditional and unstructured data sources with additional tools for natural language processing. Extract facts and semantic features, answer questions and classify contents.

New in Mathematica 12: Natural Language Processing »
Documentation: Text Analysis »
Wolfram Finance Platform 3: Optimization


Finance Platform's existing suite of local and global constrained optimization capabilities has been extended with fast and robust algorithms for convex optimization problems.

New in Mathematica 12: Convex Optimization »
Documentation: Convex Optimization »
Wolfram Finance Platform 3: PDEs


New finite element methods solve broad classes of nonlinear partial differential equations.

New in Mathematica 12: Nonlinear Finite Elements »
Documentation: Partial Differential Equations »
Documentation: Finite Element Method »
Wolfram Finance Platform 3: Asymptotic Solvers

Asymptotic Solvers

Finance Platform includes a broad set of tools for working with power series approximations of complex models that are too difficult for pure symbolic computing, giving you more descriptive and applicable output than numerical computing can provide.

New in the Mathematica 12: Asymptotics »
Documentation: Asymptotics »

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