# Finance Portfolio Optimizer

> Use this tool when you need to optimize finance portfolios by incorporating your own return views and confidence levels, and analyze risk through correlations, drawdowns, and Value-at-Risk (VaR) metrics. It solves problems related to portfolio management, strategy backtesting, and performance benchmarking, and accepts inputs such as stock, ETF, and crypto datasets or custom assets. The tool generates clear dashboards as output, providing a comprehensive overview of portfolio performance and risk.

Canonical page: https://skillsregistry.net/skills/irresi-bl-view-mcp  
JSON: https://api.skillsregistry.net/v1/skills/irresi-bl-view-mcp

## Description

Optimize finance portfolios with Black-Litterman using your return views and confidence levels. Backtest strategies, benchmark performance, and analyze risk with correlations, drawdowns, and VaR. Use stock, ETF, and crypto datasets or upload custom assets to generate clear dashboards.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/irresi/bl-view-mcp)
- **Repository:** <https://github.com/irresi/bl-view-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "irresi-bl-view-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/irresi-bl-view-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/irresi-bl-view-mcp/pull`

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