https://github.com/piquette/quantlib
The idiomatic rust implementation of the QuantLib C++ quantitative finance library
https://github.com/piquette/quantlib
finance financial-analysis hft-trading mathematics quantitative-finance rust
Last synced: about 1 month ago
JSON representation
The idiomatic rust implementation of the QuantLib C++ quantitative finance library
- Host: GitHub
- URL: https://github.com/piquette/quantlib
- Owner: piquette
- License: other
- Created: 2020-04-12T14:20:07.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-04-15T13:56:24.000Z (about 4 years ago)
- Last Synced: 2023-03-05T20:36:30.484Z (over 2 years ago)
- Topics: finance, financial-analysis, hft-trading, mathematics, quantitative-finance, rust
- Language: Rust
- Homepage:
- Size: 225 KB
- Stars: 97
- Watchers: 11
- Forks: 23
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
![]()
Crate
ยท
Installation
ยท
Configuration**The idiomatic Rust implementation of QuantLib, the standard for professional quantitative finance applications.**
**This project is still under active development and not guaranteed to have a stable API.**
**The alpha release version is aiming for:**
- **Familiar interfaces:** A library api that resembles the original.
- **High test coverage:** 90% or more.
- **Idiomatic rust:** architecture that takes full advantage of language features.
- **Easy:** intuitive to understand coupled with extensive documentation. ๐## ๐ฌ About
The QuantLib project (http://quantlib.org) is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life.
Appreciated by quantitative analysts and developers, it is intended for academics and practitioners alike, eventually promoting a stronger interaction between them. QuantLib offers tools that are useful both for practical implementation and for advanced modeling, with features such as market conventions, yield curve models, solvers, PDEs, Monte Carlo (low-discrepancy included), exotic options, VAR, and so on.
## ๐ Installation
Add this to your `Cargo.toml`:```toml
[dependencies]
quantlib = "0.1.0"
```and this to your crate root:
```rust
extern crate quantlib;
```