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.
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).
The fetched tweets then go into a sentiment analyser which produces of list of tuples (tweet intensity score, datetime of tweet).
pip3 install -r requirement.txt
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
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
- vader - The Sentiment Analysis API used
- tweepy - The Twitter API used
- pyplot - matplotlib library to build graphs of sentiment analysis
- json - python library to read and write JSON files
We use GitHub for versioning.
- Behrad Koohy - Dev Ops - behradkoohy
- Benjamin Lellouch - Principal Back End Developer - benlellouch
- Benjamin Rees - Statistical Work and Development of Market Prediction algorithm - BenWRees
- Michael Gimson - Persistent Data Development - MichaelGimson
- Jury D'Alessio - Principal Front End Developer - JuryDAlessio