Derivatives Pricing Engine
Project description
DerivX
V0.3.7.1-Beta Build 20220121
© 2021-2022 Xu Rendong. All Rights Reserved.
Project Summary
Derivatives Pricing Engine.
- Plain Vanilla European / American options portfolio calculation.
- Plain Vanilla European / American option pricing and greek value calculation.
- Single Barrier / SharkFin option pricing and greek value calculation.
- Exotic Autocall Booster / Phoenix / Snowball option pricing and greek value calculation.
- Stochastic Diffusion Processes and Stochastic Volatility Models.
- Interfaces and examples for C++, Python, JavaScript.
Install
C++:
Python:
pip install derivx
JavaScript:
npm install derivx
Usage
C++:
Python:
import derivx
print(derivx.Version())
For more usages please refer to examples in derivx_py folder.
DerivX is not dependent on numpy, pandas and matplotlib, but if you want to run examples, you'd better install them with:
pip install numpy pandas matplotlib
JavaScript:
const derivx = require('derivx')
console.log(derivx.Version())
For more usages please refer to examples in derivx_js folder.
DerivX is not dependent on numjs, but if you want to run examples, you'd better install it with:
npm install git+https://github.com/nicolaspanel/numjs.git
Changes
Please refer to changes file.
Benchmark
Please refer to benchmark file.
Contact Information
QQ: 277195007, WeChat: xrd_ustc, E-mail: xrd@ustc.edu
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file derivx-0.3.7.1-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: derivx-0.3.7.1-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 575.9 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a935fb1ffe816657bd001ab6954c62ba4bda301c4c0d075e092b7d3ef4d26875 |
|
MD5 | 1e87ea6c2af9cdad8c2c19eb578eaf81 |
|
BLAKE2b-256 | 9e8cfc528984ccc54751ea0af090d7dc388e5d6d7bc338562d0cbe2cf5329938 |
File details
Details for the file derivx-0.3.7.1-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: derivx-0.3.7.1-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 575.9 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d6ca4cf2772dfae7a42acb8cf3fb8905f2a1351ed5206812b024ba057e87c98 |
|
MD5 | 60519991e4bcf0b0b2114fbfaf2a57fd |
|
BLAKE2b-256 | ad0f1763410096dfc2d336b4b7268fcfe87ed4e13ab1fa8a1ece20126f1ef7a9 |
File details
Details for the file derivx-0.3.7.1-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: derivx-0.3.7.1-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 575.8 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6630772608afbc70c32918365b5f9a994bf7b93dac33f62f31c900682012e076 |
|
MD5 | 207ee9e8e108676e5723a175e7c4f942 |
|
BLAKE2b-256 | 9184c3235fd47738ebc30125192bd7a4617579cbf8aba4c0ee9167ccffb61cc0 |
File details
Details for the file derivx-0.3.7.1-cp37-cp37m-win_amd64.whl
.
File metadata
- Download URL: derivx-0.3.7.1-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 574.2 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c79bd5d9fe586f7c71606dd90104ee5d908d7a76a7bd10d577d9aa612344c263 |
|
MD5 | 8950247a494c730f47e468c33b620c5a |
|
BLAKE2b-256 | 5a7f44b44de0c39bcea1c7ca83687661a7ea8296abd3958883671ff5a664eda7 |
File details
Details for the file derivx-0.3.7.1-cp36-cp36m-win_amd64.whl
.
File metadata
- Download URL: derivx-0.3.7.1-cp36-cp36m-win_amd64.whl
- Upload date:
- Size: 574.3 kB
- Tags: CPython 3.6m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b61923e1d8e3df276f6f8b4352efb4868248c2de4479b04e83812d8b3af6745d |
|
MD5 | a186a321d0db164d167d90f91f3c6b78 |
|
BLAKE2b-256 | bc1a48288493fdee0f9f0a83068ccb339af618a8061de6b21d3f40a06912bf46 |