# FactorHub

> Use this tool when you need to analyze and gain insights into the China A-share market, leveraging its factor discovery, stock screening, and backtesting capabilities to inform investment decisions. It solves problems related to market research, portfolio optimization, and strategy development by providing daily OHLCV data, valuation metrics, and index tracking. The tool accepts configurable parameters as input and outputs actionable market intelligence and backtesting results.

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

## Description

Connects to the FactorHub API to deliver China A-share market intelligence. Supports factor discovery and scoring, daily OHLCV data, index tracking, valuation metrics (PE, PB, PS, dividend yield), stock screening, and quantitative strategy backtesting with configurable parameters.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/michaelfeng-factorhub)
- **Repository:** <https://github.com/michaelfeng/factorhub-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": "michaelfeng-factorhub"
    }
  }
}
```

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