StockSense

Stock analysis automated at your fingertips

Installation

$ pip install -r requirements.txt

$ pip install setup.py

Development

Make sure you have cement installed.

This project includes a number of helpers in the Makefile to streamline common development tasks.

Environment Setup

The following demonstrates setting up and working with a development environment:

### create a virtualenv for development

$ make virtualenv

$ source env/bin/activate


### run stocksense cli application

$ stocksense --help


### run pytest / coverage

$ make test

Releasing to PyPi

Before releasing to PyPi, you must configure your login credentials:

~/.pypirc:

[pypi]
username = YOUR_USERNAME
password = YOUR_PASSWORD

Then use the included helper function via the Makefile:

$ make dist

$ make dist-upload

Deployments

Docker

Included is a basic Dockerfile for building and distributing Stock Sense CLI, and can be built with the included make helper:

$ make docker

$ docker run -it stocksense --help