PyInvestment ===

PyInvestment is still very pre-alpha and under active development.

Project Goals

* Provide a simple yet extensible framework to perform real time quantitative financial analysis. * Provide a backtesting system to allow the user to test their trading strategy in as realistic of conditions as they see fit. Be simple enough for a beginner to pick up and use while being sophisticated enough that professionals will need* to use it. * Allow the user to use whatever data they want.

Contributing

Being pre-alpha means that we need contributors to help make this project a success. Don't hesitate to send me an email with questions or even a pull request with a new feature you think would fit into our framework.

Setup (Ubuntu 64-bit)

Docker Installation

Add key server for official Docker repo, update package list, verify repo

sudo apt-get adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
sudo apt-get update

Verify that you are pointing to official Docker repo (optional)

apt-cache policy docker-engine

Install Docker, check to see if daemon is running

sudo apt-get install docker-engine sudo systemctl status docker

Docker Build

(Option 1: local)

Use parameters in local Dockerfile to create docker instance

cd PyInvestment/
Format: docker build --tag/-t <user-name>/<repository> .
docker build --tag my/repo . 
docker volume create mongodata
docker run -p 27017:27017 -v mongodata:/data/db my/repo

(Option 2: repo)

docker pull