White Stock Sentiment Analysis

We are White Stock, a Hackathon start up team for the Hack the South 2020! We use some Sentiment Analysis, some fancy maths, and some computer magic we provide meaningful information to plan your next move in the market!

We use the general opinion of the public expressed on social media about companies to predict market trends of stocks in the S&P 100 index.

How does it work?

twitter fetcher

It starts by fetching 100 tweets where a company X is mentioned and formats the tweets into a list of tuples (tweet content, datetime of tweet).

Sentiment Analyser

The fetched tweets then go into a sentiment analyser which produces of list of tuples (tweet intensity score, datetime of tweet).

Prerequisites

You will need to have tweepy and nltk

pip3 install tweepy

pip3 install nltk

Installing

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the tests

Explain how to run the automated tests for this system

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests