> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fincept.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Portfolio Module

> Portfolio optimization - Pro tier

# Portfolio Module

**Tier:** Pro | **Cost:** 5 credits | **Endpoints:** 15

Portfolio optimization: mean-variance, Black-Litterman, risk parity, efficient frontier.

## Key Features

* 📊 Mean-variance optimization
* 📈 Efficient frontier
* 🎯 Black-Litterman model
* Risk parity (ERC, HRP)
* 📉 Performance metrics
* 🔍 Incremental VaR

## Popular Endpoints

**Mean-Variance Optimization:**

```bash theme={null}
POST /quantlib/portfolio/mean-variance
{
  "returns": [...],
  "covariance": [...],
  "objective": "max_sharpe"
}
```

**Efficient Frontier:**

```bash theme={null}
POST /quantlib/portfolio/efficient-frontier
{
  "returns": [...],
  "covariance": [...],
  "points": 50
}
```

**Black-Litterman:**

```bash theme={null}
POST /quantlib/portfolio/black-litterman
{
  "market_weights": [...],
  "views": [...],
  "view_confidence": [...]
}
```

[Full API Reference →](/api-reference/quantlib-portfolio)