Introduction

This project aggregates historic stock data, relevant information, and news concerning specific publicly traded companies selected by the user.

The goal of this project is to provide the user with an automatically updating API containing only the data they care about.

Quick Start

The API

• Clone this repo in the directory you want to place it in.
• Create a new virtual environment and activate it.
• Run pip install -r requirements.txt.
• Rename the model.env file to .env
• Retrieve a free API key from https://www.alphavantage.co
• Place your API key after API_KEY= in your .env file DO NOT PLACE IT IN QUOTES.
• Alter the setting for URL_BASE= to http://localhost:8000 in your .env file DO NOT PLACE IT IN QUOTES.
• Start the Django development server python manage.py runserver.
• Navigate to http://localhost:8000/api/stocks_followed/ and add the ticker symbol of a stock you want data on.
• Manually (for now) run the update scripts, which are located in popoulate.py and enjoy.

A Short Example

Lets say you want all the stock data on Google (GOOG). After adding GOOG to http://localhost:8000/api/stocks_followed/ do the following with your virtual environment activated.

Adding All Data

>>>frompopulateimportStockPopulate>>>stock=StockPopulate('GOOG')
# Create a variable for your stock data>>>data=stock.get_all_data()
# Normalizes, and creates an iterable of the data, to post to our API>>>stream=stock.normalize_all_data(data)
# Post the data to our API>>>stock.post_all_data(stream)
# Or if you prefer a one linerstock.post_all_data(stock.normalize_all_data(stock.get_all_data()))

Updating Data With Specific Date

>>>frompopulateimportStockPopulate>>>fromdatetimeimportdate>>>stock=StockPopulate('GOOG')
# TODO check to see if the market was active that day.# Pass the date argument as a string date=str(date.today())
# ordate='2018-09-28'data=stock.get_daily_data(date)
# post the datastock.populate_updated_data(data)