Stock Market Price Detection

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

1. python3
2. pip3
3. virtualenvwrapper

Install python3

sudo apt-get install -y python3

Install pip3

sudo apt-get install -y python3-pip

Install virtualenvwrapper

sudo pip3 install vitualenvwrapper

On your .zshrc or .bashrc

export WORKON_HOME=$HOME/.virtualenvs
export PROJECT_HOME=$HOME/projects
source /usr/local/bin/virtualenvwrapper.sh

source ~/.bashrc
#or
source ~/.zshrc

Installing

Create a virtualenv

mkvirtualenv awesome-python
workon awesome-python

Clone the Repo

export PROJECT_NAME=stock_market_prediction
git clone `clone url` $PROJECT_NAME
cd $PROJECT_NAME

Install the requirements

pip install -r requirements.txt

Running the tests

python -m unittest discover -v

Deployment

Add additional notes about how to deploy this on a live system

Built With

• unittest - builtins unittest framework is used.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Tahseen Junayed.

See also the list of contributors who participated in this project.

Acknowledgments

• Hat tip to anyone whose code was used