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    "info": {
        "author": "Kevin Hill",
        "author_email": "kevin@funguana.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Funstrat\n\nThis is the strategy preprocessing library. Use to preprocess everything regarding price bar data. We can put other things into it as well.\n\n# NOTE! \n## MOST OF THIS WILL BE SETUP TIME AND READING DOCUMENTATIONS!\n\nMost of this assignment won't be something extremelt new. It'll be a rehash of the code previously written. However, you'll be integrating the previously written code with our code base. It'll simplify everything for us, and perhaps give you new assets to use.\n\n\n# Installation and Setup:\nAfter reviewing some of your code, I've inferred that you use Windows and possibly pycharm. To ensure you have the best experience possible, we're going to have you install Ubuntu on Windows. Prior to following the rest of the document, please read and follow:\n\n> https://tutorials.ubuntu.com/tutorial/tutorial-ubuntu-on-windows#0\n\nAfter you follow that tutorial, please follow this tutorial to install all of python/python3:\n> http://timmyreilly.azurewebsites.net/python-with-ubuntu-on-windows/\n\n## Installing Pip3 and pipenv\nI use `pipenv` to ensure all of this code works properly. Before continuing. Open `Ubuntu on Windows` and begin with installing the following commands:\n\n**This upgrades your system**\n```bash\nsudo apt-get update\nsudo apt-get -y upgrade\n```\n\n**This installs everything necessary**\n\n```\nsudo apt-get install -y python3-pip\nsudo apt-get install build-essential libssl-dev libffi-dev python-dev\n```\n\n**Try testing to see if that worked by running a simple numpy operation**\n\n```\npip3 install numpy\npython3\n```\n\nYou should enter into a shell and be able to run python code.\n\n\nNow install pipenv:\n\n>`pip install --user --upgrade pipenv`\n\n### Installing MongoDB Ubuntu\nWe use mongodb to manage timeseries data. Make sure to install. \nRun these from the site given:\n> https://docs.mongodb.com/manual/tutorial/install-mongodb-on-ubuntu/\n\n```\nsudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 9DA31620334BD75D9DCB49F368818C72E52529D4\n```\n\n```\necho \"deb [ arch=amd64 ] https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 multiverse\" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list\n```\n\n```\nsudo apt-get update\nsudo apt-get install -y mongodb-org\n```\n\n#### Run it:\n```\nsudo service mongod start\n```\n\n```\nsudo service mongod stop # To stop\nsudo service mongod restart # To restart\n```\n\n\n## Accessing Your Files In Ubuntu On Windows 10\n\nPlease follow the tutorial for accessing your files:\n\n> https://www.howtogeek.com/261383/how-to-access-your-ubuntu-bash-files-in-windows-and-your-windows-system-drive-in-bash/\n\n\n## Finishing Setup\nNow enter into the folder containing `setup.py`. Downloaded from the funsuite repo.\n\nTo install all of the dependencies: **Run:** \n\n```\npipenv install -e .\n```\n\nThis installs all of the main dependencies for the project. Follow that with: `pipenv shell` in the main directory to enter into the project's virtual environment.\n\n\n# Documentation\nHere we begin the documentation of the code. If you look through the files, you'll see a lot work done. All of the work for the trading bot is routed through here, as well as some prototype. `Funsuite` is a testing suite for new additions to the app. Here we create and test new additions to the application. Well separate documentation by `objective > libraries/files > functions`. That way you'll easily be able to jump into the code and process through everything you need. \n\n\n",
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        "name": "funstrat",
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        "summary": "Preprocess the bars for the trading bot.",
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