Trading Strategy Jupyter environment

Dockerized Jupyter environment for Trading Strategy algorithmic trading framework and protocol.

Prerequisites

• Docker
• Docker Compose

Get started

Clone this repository:

git clone https://github.com/tradingstrategy-ai/jupyter-env.git
cd jupyter-env

Use docker compose to bring up the environment:

docker-compose up -d

The default port is 8989 but you can also use different port if you want, for example:

export JUPYTER_ENV_BIND=9999
docker-compose up -d

# or one liner
JUPYTER_ENV_BIND=9999 docker-compose up -d

Then open http://localhost:8989 or http://localhost:<your chosen port number> in your web browser and start hacking.

Update to latest version of the pre-built environment

To update the current environment to latest version:

docker-compose pull
docker-compose up -d

Develop this environment

Build the Docker image from the scratch:

make install
docker build -t ghcr.io/tradingstrategy-ai/jupyter-env:local .

Test the built image:

JUPYTER_ENV_VERSION=local docker-compose up -d

Then open http://localhost:8989 in your web browser to test.

See Dockerfile for more details.