# Cutup: A Rust Portfolio Allocation Library
[](https://crates.io/crates/cutup)
[](https://github.com/thinkjrs/cutup/actions/workflows/tests.yml)
[](https://codecov.io/gh/thinkjrs/cutup)
[](https://docs.rs/cutup)
[](https://crates.io/crates/cutup)
Cutup is a Rust library for portfolio allocation strategies, providing implementations for various allocation methods.
It's designed to be efficient and easy to use.
Here are some of the allocation methods included in this library:
- **Mean-Variance Optimization (MVO)**
- **Equal Weight Allocation (EW)**
- **Hierarchical Risk Parity (HRP)**
This library leverages `nalgebra` for efficient matrix operations and is designed for performance and extensibility.
## Features
- **MVO Allocation**: Computes portfolio weights using mean-variance optimization with covariance matrix regularization.
- **EW Allocation**: Assigns equal weights to all assets.
- **HRP Allocation**: Uses hierarchical clustering and recursive bisection for risk-based allocation.
- **Fully Unit-Tested**: Includes test cases for correctness verification.
## Installation
Add `cutup` to your `Cargo.toml`:
```toml
[dependencies]
cutup = "0.1.4"
```
## Usage
```rust
use nalgebra::DMatrix;
use cutup::PortfolioAllocator;
fn main() {
let prices = DMatrix::from_row_slice(
4,
4,
&[
125.0, 1500.0, 210.0, 600.0,
123.0, 1520.0, 215.0, 620.0,
130.0, 1510.0, 220.0, 610.0,
128.0, 1530.0, 225.0, 630.0,
],
);
let allocator = PortfolioAllocator::new(prices);
let mvo_weights = allocator.mvo_allocation();
let ew_weights = allocator.ew_allocation();
let hrp_weights = allocator.hrp_allocation();
println!("MVO Weights: {:?}", mvo_weights);
println!("EW Weights: {:?}", ew_weights);
println!("HRP Weights: {:?}", hrp_weights);
// or do it all in one go
let weights = run_portfolio_allocation(prices);
println!("Portfolio Weights: {:?}", weights);
}
```
## License
This project is licensed under the MIT License.