Skip to main content

Domain specific language for quantitative analytics in finance.

Project description

Quant DSL is a functional programming language for modelling derivative instruments.

At the heart of Quant DSL is a set of built-in elements (e.g. “Market”, “Choice”, “Wait”) that encapsulate maths used in finance and trading (i.e. models of market dynamics, the least-squares Monte Carlo approach, time value of money calculations) and which can be composed into executable expressions of value.

User defined functions are supported, and can be used to generate massive expressions. The syntax of Quant DSL expressions has been formally defined, and the semantic model is supported with mathematical proofs. The Python package quantdsl is an implementation in Python of the Quant DSL syntax and semantics.

An extensive README file is available on GitHub.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quantdsl-1.2.0.tar.gz (83.6 kB view details)

Uploaded Source

File details

Details for the file quantdsl-1.2.0.tar.gz.

File metadata

  • Download URL: quantdsl-1.2.0.tar.gz
  • Upload date:
  • Size: 83.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for quantdsl-1.2.0.tar.gz
Algorithm Hash digest
SHA256 85c27a089b20bb887da2e41315e4512cb3cfb17e73fe6375a5532a7a9303e90c
MD5 d8efa598b17eac38762463fb6b1efeb7
BLAKE2b-256 354295f2b7b16bafa43d368d4764d61106d60bf29846bad2e5bfd1adb36c6cdf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page