Hedgehogs

How to run

• Clone the repository --> git clone https://github.com/rmarathay/hedgehogs.git

• (if you don't have docker working pip install Django pip install Django-rest_framework)

• Run manage.py runserver

• Navigate to url

• TODO hedgehogs.io

• At website, search for stock at top right corner search bar

• You can search by ticker or by stock name

• Upon search you will be prompted to log in if you have not loged in already

• Currently display candelstick stock graph and regular graph aswell

• Tools page will be where algorithmic trading strategies will be created and tested

How to connect to database

• Install pgcli --> sudo apt-get install pgcli
• pgcli -h 206.189.181.163 -p 5432 -U rcos -d rcos -W
• password is hedgehogs_rcos when prompted
• \dt to see all tables
• TABLE [name of table you want to see dont put brackets]

Run local version using Docker

• The first step is to set up the data_collection/db/config.py file
  • If you are on windows, and you are running docker through docker-machine:
    • run the command docker-machine ip and replace HOST with your result
  • If you are on mac or linux, use the command:
    • ipconfig getifaddr en0 and replace HOST with your result
• To run the local postgres server and build and enter the python container's bash, use the command:
  • docker-compose run data-collection
• After the images are built the first time, the command should run a lot faster
• Note: The compose environment is set up to use volumes. You can change your local python code and the changes should be reflected from within the container

Development (deprecated)

• Become a developer on github
• Clone master, switch to develop
• docker build -t hedgehogs .
• docker run -it hedgehogs /bin/bash
• Execute all code in container

Installation (deprecated)

• Install either Miniconda or Anaconda
  • Miniconda https://conda.io/miniconda.html
  • Anaconda https://www.anaconda.com/download/
• Configure the PATH system variable as such
  • export PATH=~/miniconda2/bin:$PATH
  • export PATH=~/anaconda2/bin:$PATH
• Verify Installation of Anaconda/Miniconda
  • conda --version
• Install Zipline
  • conda install -c Quantopian zipline
  • Yes, we are using Quantopian's API..

How to run (deprecated)

• All code in the data_collection folder is depricated
• This was the code from previous RCOS years, it is no longer supported and does not work as intended
• If you would like to develop this on your own code at your own risk
• Clone the repository
• Navigate to hedgehogs/data_collection The current pipeline currently looks something like this: xlsxDownloader --> xlsx2json.py --> json2mongodb.py In order to run the program do the following:
• run python xlsxDownload.py TICKER to download the .xlsx files
• run python xlsx2json.py FILE_NAME to convert a .xlsx to .json
• run python json2mongodb.py FILE_NAME USERNAME to send the .json file to a running MongoDB server