Modular Python Package for Financial Contract Modelling with the ACTUS Standard
Project description
Awesome ACTUS Library
A modular user-friendly Python Library for Financial Modelling with the ACTUS Standard.
Features
- Define and simulate ACTUS contracts and portfolios
- Generate complete event streams from ACTUS contracts
- Perform Income, Liquidity, and Value analysis
- Visualize cash flows for single contracts or full portfolios
Install
pip install awesome-actus-lib
Documentation
Visit the documentation site for:
Architecture Overview How-to guides and examples Full class documentations Complete analysis examples from contract definition to analysis results
ACTUS Foundation
This library is based on the ACTUS Financial Contract Standard. Learn more at:
Author & Contributions
Maintained by @maierdon.
We welcome contributions via pull request. For larger design suggestions, contact the author or open a discussion thread. If you find errors or bugs please report them as github issues.
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 Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file awesome_actus_lib-1.0.3.tar.gz.
File metadata
- Download URL: awesome_actus_lib-1.0.3.tar.gz
- Upload date:
- Size: 52.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d891c22ba1acb29d82ca9a63c81b14c46bb422bb13cd9d71e20a835b3af505b
|
|
| MD5 |
f4ff0d8f08a9027021ae44cac1351ae9
|
|
| BLAKE2b-256 |
8ba05a89ae10a318646aa575ef877bb2d8cbf9aa91a2310bbba88c2bbdfd4112
|
File details
Details for the file awesome_actus_lib-1.0.3-py3-none-any.whl.
File metadata
- Download URL: awesome_actus_lib-1.0.3-py3-none-any.whl
- Upload date:
- Size: 82.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b295b2a3912c3e2725fcf9d768b86406193431849d20b3adcebf103ab1e5227e
|
|
| MD5 |
7459fdf0ed36f3b66b48dff3325977bc
|
|
| BLAKE2b-256 |
8b88222fa6be74aa7ec1690a6bd150130545bc1d3d9b58f6a781a800b16f6e98
|
