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 ******