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Application that uses data analysis techniques to asses profitabilty in oil sales with real time data

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Profit Analysis App

This is a Python 3.7 application to analyse real time oil prices of West Texas Intermediate (WTI) oil in order to make predictions about the price of WTI oil the next day. It compares the profit made against outgoing costs for the current and subsequent day. It advises the user whether it would be more profitable to dock today or tomorrow.

Installation

Once you have cloned down this repository using git clone cd into the app directory eg.

cd profit-analysis-app

The project uses pipenv to manage project and development packages. To install these requirements run

pipenv install --dev

To initialise the virtual environment run

pipenv shell

To exit the virtual environment use exit and to see where you virtual environment is located run pipenv --venv which may be useful when setting up your project interpreter in your IDE.

This project used the black auto formatter which can be run on git commit along with flake8 if you install pre-commit. To do this run the following in your terminal from within your virtual environment.

pre-commit install

Now pre-commit hooks should run on git commit.

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Application that uses data analysis techniques to asses profitabilty in oil sales with real time data

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