Portfolio Allocation is a Python package for backtesting different portfolio allocation strategies and visualizing the results in an Excel report.

• Backtesting multiple portfolio optimization strategies
• Visualization of results in an easy-to-read Excel report

Here's a import script to show the exported public functions:

from portfolio_optimization.optimization import (
    HRPOptimization,
    Markowitz,
    BlackLitterman,
    RiskParity,
    FastRiskParity,
    Heuristic,
    RewardToRisk,
    SimpleVolatility,
    VolatilityOfVolatility,
    ValueAtRisk,
    RewardToVaR,
    Combination,
)
from portfolio_optimization.portfolio import Portfolio
from portfolio_optimization.backtesting import Backtest

You can quickly compare default strategies with a single command:

./quick_comparison.mjs --rebalance <PERIOD>

Where <PERIOD> should be replaced with the desired frequency (for example, 1M, 1W, 1D).

Make sure you have Python 3.10 or higher installed on your system. Also, make sure you have cloned the repository, with submodules!

First, make sure you have CLang installed on your system. If not, you can install it using the following command:

For macOS:

brew install llvm

For Linux:

sudo apt-get install clang

Then, run the setup script:

pip install -e .

Then, install the required Python packages:

pip install -r requirements.txt

Finally, install Bun:

curl -fsSL https://bun.sh/install | bash
bun install