# ths-stock-trading-mcp

> ths-stock-trading-mcp — trading-a-ai-ths-moni-trading-mcp. Use this tool when you need to automate stock trading tasks, such as checking account balances and placing orders, to streamline trading processes and improve efficiency. It solves problems related to manual trading errors and inefficiencies by providing a programmatic interface to the Tonghuashun trading system. The tool accepts inputs like order parameters and returns outputs like trade confirmations, making it ideal for AI agents that require automated trading capabilities via the MCP protocol.

Canonical page: https://skillsregistry.net/skills/trading-a-ai-ths-moni-trading-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trading-a-ai-ths-moni-trading-mcp

## Description

Enables AI agents to automate simulated stock trading on the Tonghuashun trading system, including checking account balances and positions, viewing orders and deals, placing market orders, and canceling pending orders via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hjckiulkro)
- **Repository:** <https://github.com/trading-a/ai_ths_moni_trading_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": "trading-a-ai-ths-moni-trading-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trading-a-ai-ths-moni-trading-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trading-a-ai-ths-moni-trading-mcp/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