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ClaudeWave

AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading

MCP Servers9.9k estrellas2.1k forksPythonApache-2.0Actualizado today
Install in Claude Code / Claude Desktop
Method: UVX (Python) · quantdinger
Claude Code CLI
claude mcp add quantdinger -- uvx quantdinger
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "quantdinger": {
      "command": "uvx",
      "args": ["quantdinger"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/OpenByteInc/QuantDinger and follow its README.
Casos de uso

Resumen de MCP Servers

<div align="center">
  <a href="https://github.com/OpenByteInc/QuantDinger">
    <img src="docs/screenshots/logo.jpg" alt="QuantDinger logo" width="180" height="180">
  </a>

  <h1>QuantDinger</h1>
  <p><strong>Open-source AI Trading OS</strong></p>
  <p>Turn trading ideas into Python strategies, backtests, paper trading, live execution, and monitoring — all in one self-hosted stack.</p>
  <p><strong>QuantDinger is a product of Open Byte Inc.</strong></p>
  <p><em>AI research → Strategy code → Backtest → Paper/Live execution → Monitoring</em></p>

  <p>
    <a href="README.md"><strong>English</strong></a>
    ·
    <a href="docs/README_CN.md"><strong>简体中文</strong></a>
    ·
    <a href="docs/api/README.md"><strong>API</strong></a>
    ·
    <a href="docs/agent/README.md"><strong>AI Agents & MCP</strong></a>
  </p>

  <p>
    <a href="https://ai.quantdinger.com"><strong>Live App</strong></a>
    ·
    <a href="https://www.quantdinger.com"><strong>Website</strong></a>
    ·
    <a href="https://www.youtube.com/watch?v=tNAZ9uMiUUw"><strong>Video Demo</strong></a>
    ·
    <a href="mailto:support@quantdinger.com"><strong>Official Support Email</strong></a>
  </p>

  <p>
    <a href="https://t.me/quantdinger"><img src="https://img.shields.io/badge/Telegram-Join-26A5E4?style=flat-square&logo=telegram&logoColor=white" alt="Telegram"></a>
    <a href="https://discord.com/invite/tyx5B6TChr"><img src="https://img.shields.io/badge/Discord-Server-5865F2?style=flat-square&logo=discord&logoColor=white" alt="Discord"></a>
    <a href="https://youtube.com/@quantdinger"><img src="https://img.shields.io/badge/YouTube-%40quantdinger-FF0000?style=flat-square&logo=youtube&logoColor=white" alt="YouTube"></a>
    <a href="https://x.com/QuantDinger_EN"><img src="docs/badges/x-quantdinger.svg" alt="X @QuantDinger_EN"></a>
  </p>

  <p>
    <a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=flat-square" alt="Apache 2.0"></a>
    <img src="docs/badges/python-3.12.svg" alt="Python 3.12">
    <img src="https://img.shields.io/badge/PostgreSQL-18-4169E1?style=flat-square&logo=postgresql&logoColor=white" alt="PostgreSQL 18">
    <img src="https://img.shields.io/badge/Redis-8-DC382D?style=flat-square&logo=redis&logoColor=white" alt="Redis 8">
    <img src="docs/badges/docker-compose.svg" alt="Docker Compose">
    <a href="https://github.com/OpenByteInc/QuantDinger/releases/latest"><img src="docs/badges/latest-release.svg" alt="Latest release"></a>
  </p>
</div>

> QuantDinger can submit real orders when live trading is explicitly enabled.
> Start with paper trading, use restricted API keys, and review the risk and
> compliance requirements for your jurisdiction. This project does not provide
> investment advice.

## What QuantDinger is

QuantDinger is an **open-source AI Trading OS** for independent traders, Python
strategy authors, and small teams. Its local-first, self-hosted design keeps
market data, strategy code, broker credentials, and deployment under the
operator's control.

The project combines:

- multi-provider AI market research and analysis;
- Python indicators and Strategy API V2 development;
- server-side backtesting and experiment workflows;
- paper and live execution across crypto exchanges and traditional brokers;
- web, mobile H5, human API, Agent Gateway, and MCP access;
- PostgreSQL-backed state, durable workers, audit logs, and optional monitoring.

It is not a black-box signal service. Strategy code, risk settings, credentials,
and deployment remain under the operator's control.

## What changed in v5

The v5 backend is organized around explicit runtime and operational boundaries:

- the HTTP API no longer owns long-running trading or scheduler loops;
- trading, scheduling, Celery jobs, and migrations run as separate processes;
- Celery handles finite, retryable work while long-lived strategy runtimes stay
  in the trading worker;
- cache Redis and durable job Redis use separate instances and eviction policies;
- high-risk API contracts are represented in OpenAPI and protected by tests;
- JSON logs, request IDs, Prometheus metrics, dashboards, and alert rules are
  available through an optional observability overlay;
- the production overlay runs backend processes as a non-root user with a
  read-only root filesystem, dropped capabilities, and resource limits;
- CI checks syntax, lint, tests, release gates, Compose files, dependencies,
  source security, secrets, API compatibility, version drift, and text encoding.

The source version is declared in [`VERSION`](VERSION). Git release tags use the
same semantic version with a leading `v`, for example `v5.0.1`.

## Architecture

<p align="center">
  <img src="docs/screenshots/architecture-v5.png" alt="QuantDinger v5 architecture covering clients, Agent Gateway, core platform, workers, infrastructure, observability, and the closed-loop trading workflow" width="100%">
</p>

<p align="center"><sub>The editable source is available as <a href="docs/screenshots/architecture-v5.svg">architecture-v5.svg</a>.</sub></p>

The diagram above shows the complete product and process architecture. The
runtime topology below focuses on container-to-container ownership and data flow.

```mermaid
flowchart TB
    C["Web / Mobile / API / MCP clients"]
    FE["Nginx frontend services"]
    API["Flask + Gunicorn API"]
    PG[("PostgreSQL")]
    CACHE[("Redis cache")]
    JOBS[("Redis jobs")]
    TW["Trading worker"]
    SW["Scheduler worker"]
    CW["Celery worker"]
    BEAT["Celery beat"]
    PROM["Prometheus"]
    GRAF["Grafana"]
    ALERT["Alertmanager"]

    C --> FE --> API
    API --> PG
    API --> CACHE
    API -->|"durable commands"| PG
    TW -->|"leases, orders, heartbeats"| PG
    SW -->|"schedules, monitoring, heartbeats"| PG
    API -->|"finite async jobs"| JOBS
    BEAT --> JOBS --> CW
    CW --> PG
    API -. metrics .-> PROM
    PG -. exporter .-> PROM
    CACHE -. exporter .-> PROM
    JOBS -. exporter .-> PROM
    PROM --> GRAF
    PROM --> ALERT
```

One backend image is reused by several containers with different commands:

| Process | Responsibility |
| --- | --- |
| `migration` | Applies the database schema and exits before application services start. |
| `backend` | Handles HTTP, authentication, validation, and durable command submission. |
| `trading-worker` | Owns strategy runtimes, pending orders, broker sessions, and reconciliation. |
| `scheduler-worker` | Runs portfolio, deployment, payment, and signal schedules. |
| `celery-worker` | Executes finite AI, backtest, experiment, report, and maintenance jobs. |
| `celery-beat` | Dispatches periodic Celery tasks. |

See [Backend process roles](docs/architecture/PROCESS_ROLES_AND_TASKS.md),
[architecture](docs/architecture/ARCHITECTURE.md), and
[concurrency model](docs/architecture/CONCURRENCY_MODEL.md) for the ownership rules.

## Quick start

### Option A: prebuilt images

Prerequisites: Docker with Compose v2. Node.js and a local Python environment are
not required.

Linux or macOS:

```bash
curl -fsSL https://raw.githubusercontent.com/OpenByteInc/QuantDinger/main/install.sh | bash
```

Windows PowerShell:

```powershell
irm https://raw.githubusercontent.com/OpenByteInc/QuantDinger/main/install.ps1 | iex
```

The installer asks for the initial administrator credentials, generates the
required secrets, downloads the GHCR Compose stack, and starts it.

Open:

- Web: <http://127.0.0.1:8888>
- Mobile H5: <http://127.0.0.1:8889>
- API health: <http://127.0.0.1:5000/api/health>

### Docker administrator and settings notes

Detailed guides: [English](docs/deployment/ADMIN_AND_SETTINGS_TROUBLESHOOTING_EN.md) |
[中文](docs/deployment/ADMIN_AND_SETTINGS_TROUBLESHOOTING_CN.md)

On a fresh database, the backend creates the initial administrator from
`ADMIN_USER`, `ADMIN_PASSWORD`, and optional `ADMIN_EMAIL`. Passwords are stored
as hashes, never as plaintext. An existing PostgreSQL volume is not overwritten:
the backend only replaces the untouched legacy `quantdinger` / `123456`
administrator when a non-default administrator is explicitly configured. It
never overwrites an account whose password was already changed, and it refuses
to promote an existing account that already uses the requested username.

Manual Docker deployments retain `quantdinger` / `123456` only for backward
compatibility when the administrator variables are left at their defaults. This
credential is not suitable for an internet-facing deployment; change it before
first start or immediately after the first login. The one-command installer does
not accept `123456` as the chosen password.

The Settings UI writes runtime configuration to `/app/.env`. In the GHCR stack
this is the host `backend.env`; in a source deployment it is
`backend_api_python/.env`. Current backend images automatically give runtime UID
`10001` ownership and keep mode `600`. Do not use `chmod 755` or recursive `777`:
these files contain passwords and API keys, and `755` still does not grant write
access to UID `10001` when root owns the file.

Verify write access with:

```bash
docker compose exec -u 10001:10001 -T backend \
  sh -c 'test -w /app/.env && echo writable=yes || echo writable=no'
```

The hardened production override intentionally mounts `/app/.env` read-only.
When using `docker-compose.production.yml`, manage configuration on the host and
recreate the services instead of saving it from the Settings UI. See the
[English guide](docs/deployment/ADMIN_AND_SETTINGS_TROUBLESHOOTING_EN.md) or
[中文指南](docs/deployment/ADMIN_AND_SETTINGS_TROUBLESHOOTING_CN.md) for
legacy-image recovery and rootless/NFS notes.

### Option B: source checkout

```bash
git clone https://github.com/OpenByteInc/QuantDinger.git
cd QuantDinger
cp backend_api_python/env.example backend_api_python/.env
cp .env.example .env
```

Before the first start, replace the example values in both environment files:

| File | Required production values |
| --- | --- |
| `backend_api_pyth
agentaialpacabacktestingbinancecoinbasecryptoexchangefinancefintechforexmcp-serverpythonquantquantitative-financesaasstocksstrategytradetrading-toolkit

Lo que la gente pregunta sobre QuantDinger

¿Qué es OpenByteInc/QuantDinger?

+

OpenByteInc/QuantDinger es mcp servers para el ecosistema de Claude AI. AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading Tiene 9.9k estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala QuantDinger?

+

Puedes instalar QuantDinger clonando el repositorio (https://github.com/OpenByteInc/QuantDinger) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar OpenByteInc/QuantDinger?

+

OpenByteInc/QuantDinger aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.

¿Quién mantiene OpenByteInc/QuantDinger?

+

OpenByteInc/QuantDinger es mantenido por OpenByteInc. La última actividad registrada en GitHub es de today, con 39 issues abiertos.

¿Hay alternativas a QuantDinger?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

Despliega QuantDinger en tu cloud

Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.

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