Skip to main content

Implementation of fast options pricers and risk for Black-Scholes-Merton and Bachelier normal models

Project description

VanillaOptionPricers

Fast and vectorised pricer and implied volatility fitters for Black-Scholes and Merton models

Minimum dependencies on higher level packages

Core dependencies:

python = ">=3.8,<3.11"
numba = ">=0.59.0"
numpy = ">=1.26.4"

Installation

pip install vanilla_option_pricers

Update

pip install --upgrade vanilla_option_pricers

Supported Option types (passed as string):

CALL = 'C'
PUT = 'P'
INVERSE_CALL = 'IC'
INVERSE_PUT = 'IP'

Project details


Download files

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

Source Distribution

vanilla_option_pricers-1.1.2.tar.gz (19.5 kB view details)

Uploaded Source

File details

Details for the file vanilla_option_pricers-1.1.2.tar.gz.

File metadata

  • Download URL: vanilla_option_pricers-1.1.2.tar.gz
  • Upload date:
  • Size: 19.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0

File hashes

Hashes for vanilla_option_pricers-1.1.2.tar.gz
Algorithm Hash digest
SHA256 df0b702de504e7d57fa8dd76064632ae650a4305660fbd3108fe2eec4ee4634b
MD5 b012a644967d365327000fc5d36b072f
BLAKE2b-256 c330d3c1bb37e1f670a6a36816be1c491839d7107a8211dd330488daf63e2487

See more details on using hashes here.

Supported by

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