• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Home
  • About
  • Recommended Books
  • Tools
  • Journal
  • Hire Me
  • Contact
Small Biz Geek

Small Biz Geek

Small Business Design, Marketing & Technology Journal

Website design services

Nerdy analysis of small business design, marketing and technology

  • The Internet
  • Marketing
  • Graphic Design
  • Web Dev
  • Web Design
  • Social Media
  • Technology
  • Miscellaneous

Twitter Mood Predicts Market Trends?

Published: January 21, 2014; Updated: March 23, 2015 Filed Under: Internet, Marketing, Social

Twitter Mood Predicts Stock Market

As a small business you may be interested in a piece of research suggesting that Twitter can foresee the general mood of financial markets.

It’s interesting from a marketing perspective but it could be even more useful if you are working as a day trader and trying to predict the future.

Derwent Capital operated a social media hedge fund specialising in “global sentiment” and the swing in stock movements from social signals. It’s interesting stuff, although pretty theoretical to someone who is not great at number crunching. To a maths boffin with an eye for detail, this might just float your boat.

Algorithmic Data Analysis

A particular episode of Money Talk published by the Motley Fool features an interview with Paul Hawtin, the founder of Derwent Captial, and they are pioneering algorithmic software analysing words and language used in Twitter tweets.

The general mood of any given nation can be calculated and used to predict the behaviour of economic markets. It makes sense, because Twitter is a massive data resource and tells us what people are thinking about.

Between February and December 2008 a joint academic study by Manchester and Indiana University collected almost 10 million tweets over several months from 2.7 million users.

The study cites examples of keyword sentiments in blogs as well as Google search queries, which represent a consensus or anticipation of global activity. Book sales or movie success can be attributed to the theory. As part of the Twitter research, publicly available software called OpinionFinder was applied to identify emotional polarity (positive or negative) within users’ Tweets:

“OpinionFinder is a system that performs subjectivity analysis, automatically identifying when opinions, sentiments, speculations and other private states are present in text. Specifically, OpinionFinder aims to identify subjective sentences and to mark various aspects of the subjectivity in these sentences, including the source (holder) of the subjectivity and words that are included in phrases expressing positive or negative sentiments.”

Translation for investors: fear or greed.

The Research

Moods such as calm vs. anxious, happy vs. sad and friendly vs. hostile were correlated against the fluctuations of the Dow Jones Industrial Average revealing a predictive power of 4 – 5 days in advance.

The findings reported an accuracy of approximately 86% but how this “success” translates into real financial decisions for investors remains to be seen.

In the interview Mr Hawtin states Derwent Captial picked up on the research paper months after its release. At the time of the podcast (6 months ago) he remarked on possible returns of 15 – 20%, but in May 2012 a Financial Times article reported the closure of the fund and the Derwent’s decision to sell its trading indicators to private investors.

The software tools used in the research focused on personal pronouns and phrases to isolate what was regarded as data describing feelings of the individuals. Spam, http links, punctuation and conjunction words were removed from the equation as not to dilute the working data.

derwentcapitalresearchdiagram

This all looks rather complicated

Although a work in progress, the visual concept above of a computer programme mapping out mood dimensions based on Twitter “expressions” is quite fascinating.

It takes behavioral economics to a new level but seemingly has no long term prediction stipulations; the fickle nature of a nation’s anxiety or calm can swing so dramatically that real market valuations are a bit of a stretch.

The podcast conversation is worth several listens and I’d be interested to see where this research goes in the future. What are your thoughts? Can maths equations together with raw data accurately delve into the complexities of human emotion and tell us more? How valid is the data. Do we express ourselves honestly and realistically online for that matter?

If your only concern is business and marketing in a more “domestic” sense, this might not be all that interesting. Yet it goes to show technology combined with human beings bring us a step closer to gaining certain understandings of those who are ultimately responsible for putting money in our pocket.

Useful links

The study, released in 2010, can be downloaded as a PDF

OpinionFinder

Derwent CapitalMarkets

Podcast interview with Derwent Capital co founder Paul Hatwin and Indiana Uni professor Johan Bollen

Motley Fool mp3 podcast feed

Related Posts

  • Argh! Why Does Google Delete Genuine Business Reviews?
  • Dealing with Negative Comments on Your Paid Social Media Posts
  • Seriously? The European Parliament Want to Ban Hyperlinks?

Filed Under: Internet, Marketing, Social Tagged With: Analysis, Data, Finance, Research, Trading, Twitter

Donations Welcome

If this article helped you in some way, you can buy me a cold beer or a hot coffee.
Donations are gratefully received.

About Small Biz Geek

I'm Darren, helping small businesses with design, marketing & tech.
Read more about me and follow me on Twitter.

Small Business Website Design

Do you need help with something web related?

To hire me see the page about my services.

Reader Interactions

Subscribe to Blog Feed by Email

Your email address won't be shared.

Add Your Thoughts Cancel reply

Your email address is safe and will NOT be shared with anyone else.

Hateful, spammy or abusive comments will not be tolerated.

For more information please see the comment policy.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Primary Sidebar

Search Website

Latest Journal Entries

  • Exposed: The Chinese Investment Fraud “Recovery” Scammer Deceiving Victims
  • Computer Says No: Does Your Website Work for People with Disabilities?
  • Chinese Tinder Profiles Are Using Photos of Pretty Girls to Scam “Investors”
  • Small Biz Owners “Trapped” Using Email Addresses Belonging to Internet Service Providers
  • In the Pandemic, QR Codes are Finally Proving Worthy in the West
  • Small Businesses Finally Start Marketing and All It Took Was a Global Pandemic
  • Unable to Meet in Person? Communicate Stress-Free with Online Audio/Video
  • UK Contractors Operating Ltd Companies Should Be Mad as Hell with HMRC and IR35
  • 20 Years On and Website Hit Counters are Still a Waste of Pixels
  • Competitors Can Easily Edit Your Google and Facebook Business Listings
  • Waiting on Final Images for a WordPress Website? Use Temporary Placeholders and Design Around Them
  • GoDaddy Loves Spamming Branded Footer Links to WordPress Installatron Sites

Footer

Primary Navigation

Home
About Darren
Good Books
My Tools
Blog Posts
Hire Me
Contact Me

Secondary Navigation

The Internet
Marketing
Graphic Design
Website Development
Website Design
Social Media
Technology
Miscellaneous

Derby & Nottingham Area

Small Biz Geek
Office 897
37 Westminster Buildings
Theatre Square
Nottingham
NG1 6LG

Telephone

Tel: +44 (0) 115 714 3290
Tel: +44 (0) 7951 897 243

VoIP

Skype: ilkestonwebdesign
WhatsApp: 07519 897 243

Email

[email protected]

Let’s Connect

Twitter
YouTube
LinkedIn
RSS

Subscribe to Blog by Email

Subscribe to Blog By Email
Genesis Framework by StudioPress


Copyright © 2022 · Small Biz Geek · Privacy Policy · Commenting Policy · Website Disclaimer · ICO number: ZA305900


Written and designed by Ilkeston Web Design