# QuantDinger

> QuantDinger — openbyteinc-quantdinger. Use this tool when you need to automate and optimize trading strategies across various markets, including crypto, stocks, and forex, with features like backtesting, paper trading, and live trading. QuantDinger solves problems related to trading strategy development, deployment, and management, providing a comprehensive platform for researchers and traders. It accepts Python-based strategies as input and outputs trading performance metrics, making it ideal for use cases that require flexible and scalable trading solutions.

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

## Description

Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

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

## 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": "openbyteinc-quantdinger"
    }
  }
}
```

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

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