Official Docker Image

Self-host TradeClaw in seconds

One command to run the full AI trading signal platform. Multi-platform — works on Intel, AMD, and Apple Silicon.

$docker pull tradeclaw/tradeclaw

linux/amd64linux/arm64Apple Silicon ✓

Docker Hub

hub.docker.com/r/tradeclaw/tradeclaw

View on Docker Hub

Quick Start

Pull image

bash

docker pull tradeclaw/tradeclaw

Run container

bash

docker run -p 3000:3000 tradeclaw/tradeclaw

Docker Compose

yaml

# docker-compose.yml
services:
  tradeclaw:
    image: tradeclaw/tradeclaw
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
    restart: unless-stopped

After starting, open localhost:3000 — live signals are available immediately, no account needed.

Image Details

Base imagenode:20-alpine

Exposed port3000

Build typeMulti-stage (builder + production)

Platformslinux/amd64, linux/arm64

Registryhub.docker.com/r/tradeclaw/tradeclaw

Sourcegithub.com/naimkatiman/tradeclaw

Why Docker?

Zero config

One command to run the full TradeClaw stack. No Node.js, no npm install, just Docker.

Production-ready

Alpine-based image with multi-stage build. Minimal attack surface, small footprint.

Always up to date

:latest tag tracks main. Pin to a date tag (e.g. :2026-03-30) for reproducible deploys.

Tag Strategy

:latestAlways tracks the main branch. Great for staying current.

:2026-03-30Date-pinned release. Use in production for reproducible deploys.

Building your own image

Fork TradeClaw and publish your custom build to Docker Hub with the included publish script:

bash

bash scripts/dockerhub-publish.sh

Supports --dry-run for local testing without pushing. Run bash scripts/dockerhub-publish.sh --help for options.

TradeClaw is fully open-source. If it saves you time, consider starring the repo.

Star on GitHub Read the docs

Official Docker Image

Self-host TradeClaw in seconds

One command to run the full AI trading signal platform. Multi-platform — works on Intel, AMD, and Apple Silicon.

$docker pull tradeclaw/tradeclaw

linux/amd64linux/arm64Apple Silicon ✓

Docker Hub

hub.docker.com/r/tradeclaw/tradeclaw

View on Docker Hub

Quick Start

Pull image

bash

docker pull tradeclaw/tradeclaw

Run container

bash

docker run -p 3000:3000 tradeclaw/tradeclaw

Docker Compose

yaml

# docker-compose.yml
services:
  tradeclaw:
    image: tradeclaw/tradeclaw
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
    restart: unless-stopped

After starting, open localhost:3000 — live signals are available immediately, no account needed.

Image Details

Base imagenode:20-alpine

Exposed port3000

Build typeMulti-stage (builder + production)

Platformslinux/amd64, linux/arm64

Registryhub.docker.com/r/tradeclaw/tradeclaw

Sourcegithub.com/naimkatiman/tradeclaw

Why Docker?

Zero config

One command to run the full TradeClaw stack. No Node.js, no npm install, just Docker.

Production-ready

Alpine-based image with multi-stage build. Minimal attack surface, small footprint.

Always up to date

:latest tag tracks main. Pin to a date tag (e.g. :2026-03-30) for reproducible deploys.

Tag Strategy

:latestAlways tracks the main branch. Great for staying current.

:2026-03-30Date-pinned release. Use in production for reproducible deploys.

Building your own image

Fork TradeClaw and publish your custom build to Docker Hub with the included publish script:

bash

bash scripts/dockerhub-publish.sh

Supports --dry-run for local testing without pushing. Run bash scripts/dockerhub-publish.sh --help for options.

TradeClaw is fully open-source. If it saves you time, consider starring the repo.

Star on GitHub Read the docs