# bullarc

> bullarc — bullarc-bullarc. Use this tool when you need to analyze technical indicators and make informed trading decisions, as it solves problems related to signal accuracy and strategy backtesting. The bullarc engine takes in multi-source data and outputs fused signals, allowing for paper trading and integration with MCP servers. It is particularly useful in contexts where data-driven trading strategies are required, such as financial markets and investment analysis.

Canonical page: https://skillsregistry.net/skills/bullarc-bullarc  
JSON: https://api.skillsregistry.net/v1/skills/bullarc-bullarc

## Description

AI-powered technical analysis engine — 11 indicators, multi-source signal fusion, backtesting, paper trading, and MCP server for Claude. Written in Go.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/bullarc/bullarc)

## 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": "bullarc-bullarc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bullarc-bullarc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bullarc-bullarc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt