Say Hi! to Quantum
A free and open-source graph processing platfrom for financial modeling.
Designed with a plug-in architecture, written in Python and C++, with processing nodes that are endlessly customizable.
Parallel processing is a common need among financial professionals, but many in the industry lack the computer science background to write effective parallelized algorithms. Analysts and modelers face a variety of other modeling risks such as data wrangling, model specification, implementation, and control governance. Optimization is often neglected and considered a problem too hard to solve.
Quantum uses a graph representation of model logic allowing for automated parallelization. Symbolic math capabilities allow it to optimize mathematical relationships in your model. With access to the entire Python data-science ecosystem, data wrangling and reporting have never been easier. Version controlled files provide a clear audit trail of model changes.
Imperative programming meets neural networks.
Quantum utilizes a mature and established artificial intelligence library called Theano to provide GPU accelleration for graph processing. Graphs resemble neural networks, however, in Quantum, graphs are a way to allow imperative programming in a visual manner absolving the programmer from having to learn syntax. Graphs can be used for anything from wrangling data to automating and generating reports or output.
Quantum bridges the gap between specialized programming expertise and financial modeling.
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Concurrency and GPU accelleration built in.
Automate anything from data wrangling to file manipulation.
A plugin architecture ensures endless flexibility.
Source code and circuits are kept in plain-text format allowing for version control.
Circuits are fully debuggable allowing breakpoints and execution stepping.
Built-in performance benchmarking tools enable you to optimize your models.
Have questions or comments? Or just want to hang out with other users? We're on Slack 24/7, come say hi!