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Social Networks, Social Media

                               & Trading


EXTENT Conference
April 14, 2012, Kostroma, Russia
Instead of an introduction




            Source:
            http://kizzx2.com/blog/index.php/2011/01/18/why-we-shouldnt-care-too-much-about-being-right/
Agenda




     1.What is social media?
     2.What is a social network?
     3.Why does social media matter?
     4.Academic studies: quantification & analysis
     5.Sentiment analysis & machine readable news
     6.Corporate monitoring
     7.Q & A
•   What is Social Media?


A variety of web-based platforms, applications and technologies that
make it possible for people to interact with each other online

Content is based on user participation and user-generated content, i.e.
consumer-generated media:

 •Facebook
 •Twitter
 •LinkedIn
 •Google Plus
 •Seeking Alpha
 •Covestor
 •StockTwits
 •Etc.
m

•   What is a Social Network?




                                relationships and flows
                                between people, groups,
                                organizations, computers
                                or other information or
                                knowledge processing
                                entities (nodes) the
                                network consists of
                                o
•    Why does social media matter?

era of social                        Interactive
media                                nature
dominance
                                     Facebook:
70% of
businesses                           845 million
have social                          monthly active
media                                users at the
presence                             end of
(KPMG)                               December
                                     2011.

                                     483 million
                                     daily active
                                     users on
                                     average in
                                     December
                                     2011.

                                     Available in
                                     more than 70
                                     languages.
•   Why does social media matter?
     Speed

A NY-based data analysis provider:   detects emerging activities on Twitter by
                                     monitoring the normal flow of tweets, and
                                     observing any impending aberration;

                                     alerts its clients
•   Why does social media matter?
    Amplification




                   Photograph by Mark Thiessen
                   Source:
                   http://environment.nationalgeographic.com/environment/natural-disasters/wildfires/
•   ACADEMIC STUDIES –
    Quantification & Analysis

Indiana
University
Research done by
Professor Johan Bollen in
2010 suggested that the
analysis of tweets to
gauge public moods could
help to reveal stock
market trends and
movements.

This encouraged U.K.
company Derwent Capital
to create the so called
Twitter Hedge fund,
which during its first
month of trading
outperformed the
established S&P 500
index.
•   ACADEMIC STUDIES –
    Quantification & Analysis
                                Pace University
                                Can social media popularity reliably
                                predict daily stock prices?

                                The number of Facebook fans, Twitter
                                followers and Youtube views were
                                used as measures: keyword search
                                trend data was tracked against daily
                                stock price movements relative to an
                                index of consumer stocks

                                A correlation was found between daily
                                popularity and stock price suggesting
                                that social media popularity may be a
                                lead indicator of stock price
                                performance

                                Starbucks, Coca Cola and Nike, over
                                the course of 10 months in 2010-2011
•   ACADEMIC STUDIES –
      Quantification & Analysis

  TUM School of
  Management,
  Munich
1) how does the content or
   information contained within
   stock micro-blogs reflect
   financial market
   developments?
2) are micro-blogging forums an
   efficient platform to weigh
   and aggregate information?

  Using methods of
                                  The sentiment of tweets is associated with abnormal
  computational linguistics
                                     stock returns and message volume to predict next-day
                                     trading volume.
  Analysis of ~ 250,000
  stock-related micro-            Users providing above average investment advice are re-
  blogging messages (tweets)        tweeted more often and have more followers (i.e.
  on a daily basis.                 amplification!)
•    ACADEMIC STUDIES –
      Quantification & Analysis

Purdue University
How does peer-based advice transmitted through social media affect the stock market?

Textual analysis of articles published on Seeking Alpha.

Views expressed in articles associate strongly with current and near-future stock returns.

The effect is stronger for articles that receive more attention and for companies likely to be
neglected by traditional advice sources.

The importance of social media as both a source of peer-based advice and a channel through
which views become reflected in stock prices.




                                             www.seekingalpha.com
•   Sentiment Analysis



Companies apply complex algorithms to measure a variety of sentiment
trends:

        What is the mood of the entire consumer marketplace?

                Are there positive or negative emotions / opinions
                regarding a specific brand or stock?

Some social media streams make it possible to gather such information
real-time:




                                 www.stocktwits.com
•   Machine Readable News

Thomson Reuters News Analytics (TRNA) for Internet news and social media
that allows users to analyze internet content, tag and filter that content to
focus on the most relevant sources, and turn the data into actionable
analytics to support trading by providing improved buy/hold/sell signals
within milliseconds.


Powered by language processing system from linguistics technology provider
Lexalytics, a software company specializing in text and sentiment analysis for
social media monitoring and reputation management. By enabling
organizations to make sense of the vast content repositories on sources like
Twitter, blogs, forums, web sites and in-house documents, Lexalytics provides
the context necessary for informed critical business decisions.



www.lexalytics.com - text analysis software
•   Machine Readable News


www.lexalytics.com - text analysis software
•   Machine Readable News

                      www.lexalytics.com - text analysis software
•   Machine Readable News

                        www.lexalytics.com - text analysis software
•   Corporate Social Media Monitoring


Social 360 -    www.social360monitoring.com


 •Social Media monitoring technology
 •Monitors social media platforms
 •Use communication professionals to analyze search results
 •Provide clients with reports


 Clients include:
 •BP
 •Old Mutual
 •LSEG – since January 2012
 •Etc.
•   Questions & Answers




    Thank you!




                          Source: http://i.zdnet.com/blogs/twitter-downtime-and-life-at-home.jpg

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Extent april2012-kostroma social-networks-socialmedia-trading

  • 1. Social Networks, Social Media & Trading EXTENT Conference April 14, 2012, Kostroma, Russia
  • 2. Instead of an introduction Source: http://kizzx2.com/blog/index.php/2011/01/18/why-we-shouldnt-care-too-much-about-being-right/
  • 3. Agenda 1.What is social media? 2.What is a social network? 3.Why does social media matter? 4.Academic studies: quantification & analysis 5.Sentiment analysis & machine readable news 6.Corporate monitoring 7.Q & A
  • 4. What is Social Media? A variety of web-based platforms, applications and technologies that make it possible for people to interact with each other online Content is based on user participation and user-generated content, i.e. consumer-generated media: •Facebook •Twitter •LinkedIn •Google Plus •Seeking Alpha •Covestor •StockTwits •Etc.
  • 5. m • What is a Social Network? relationships and flows between people, groups, organizations, computers or other information or knowledge processing entities (nodes) the network consists of o
  • 6. Why does social media matter? era of social Interactive media nature dominance Facebook: 70% of businesses 845 million have social monthly active media users at the presence end of (KPMG) December 2011. 483 million daily active users on average in December 2011. Available in more than 70 languages.
  • 7. Why does social media matter? Speed A NY-based data analysis provider: detects emerging activities on Twitter by monitoring the normal flow of tweets, and observing any impending aberration; alerts its clients
  • 8. Why does social media matter? Amplification Photograph by Mark Thiessen Source: http://environment.nationalgeographic.com/environment/natural-disasters/wildfires/
  • 9. ACADEMIC STUDIES – Quantification & Analysis Indiana University Research done by Professor Johan Bollen in 2010 suggested that the analysis of tweets to gauge public moods could help to reveal stock market trends and movements. This encouraged U.K. company Derwent Capital to create the so called Twitter Hedge fund, which during its first month of trading outperformed the established S&P 500 index.
  • 10. ACADEMIC STUDIES – Quantification & Analysis Pace University Can social media popularity reliably predict daily stock prices? The number of Facebook fans, Twitter followers and Youtube views were used as measures: keyword search trend data was tracked against daily stock price movements relative to an index of consumer stocks A correlation was found between daily popularity and stock price suggesting that social media popularity may be a lead indicator of stock price performance Starbucks, Coca Cola and Nike, over the course of 10 months in 2010-2011
  • 11. ACADEMIC STUDIES – Quantification & Analysis TUM School of Management, Munich 1) how does the content or information contained within stock micro-blogs reflect financial market developments? 2) are micro-blogging forums an efficient platform to weigh and aggregate information? Using methods of The sentiment of tweets is associated with abnormal computational linguistics stock returns and message volume to predict next-day trading volume. Analysis of ~ 250,000 stock-related micro- Users providing above average investment advice are re- blogging messages (tweets) tweeted more often and have more followers (i.e. on a daily basis. amplification!)
  • 12. ACADEMIC STUDIES – Quantification & Analysis Purdue University How does peer-based advice transmitted through social media affect the stock market? Textual analysis of articles published on Seeking Alpha. Views expressed in articles associate strongly with current and near-future stock returns. The effect is stronger for articles that receive more attention and for companies likely to be neglected by traditional advice sources. The importance of social media as both a source of peer-based advice and a channel through which views become reflected in stock prices. www.seekingalpha.com
  • 13. Sentiment Analysis Companies apply complex algorithms to measure a variety of sentiment trends: What is the mood of the entire consumer marketplace? Are there positive or negative emotions / opinions regarding a specific brand or stock? Some social media streams make it possible to gather such information real-time: www.stocktwits.com
  • 14. Machine Readable News Thomson Reuters News Analytics (TRNA) for Internet news and social media that allows users to analyze internet content, tag and filter that content to focus on the most relevant sources, and turn the data into actionable analytics to support trading by providing improved buy/hold/sell signals within milliseconds. Powered by language processing system from linguistics technology provider Lexalytics, a software company specializing in text and sentiment analysis for social media monitoring and reputation management. By enabling organizations to make sense of the vast content repositories on sources like Twitter, blogs, forums, web sites and in-house documents, Lexalytics provides the context necessary for informed critical business decisions. www.lexalytics.com - text analysis software
  • 15. Machine Readable News www.lexalytics.com - text analysis software
  • 16. Machine Readable News www.lexalytics.com - text analysis software
  • 17. Machine Readable News www.lexalytics.com - text analysis software
  • 18. Corporate Social Media Monitoring Social 360 - www.social360monitoring.com •Social Media monitoring technology •Monitors social media platforms •Use communication professionals to analyze search results •Provide clients with reports Clients include: •BP •Old Mutual •LSEG – since January 2012 •Etc.
  • 19. Questions & Answers Thank you! Source: http://i.zdnet.com/blogs/twitter-downtime-and-life-at-home.jpg

Editor's Notes

  1. Today we will talk about the reconciliation testing approach. We think that it can be extremely useful in testing complex integrated trading systems. This approach can be applied at different test levels, and what is also important, the reconciliation tool can afterwards be re-used for carrying out the other activities, such as conformance testing. Reconciliation is a process to determine the differences in data obtained from the different sources. So the Reconciliation testing is the test approach applied when it is necessary to compare the output of different systems or system components. The level of required reconciliation may be different, from simple, which can be done using simple sql scripts, to quite complex, that requires the tool with built-in business rules. Therefore, we have decided to formalize this activity and now we include the reconciliation test approach to our test plans. We are also actively working on the development of appropriate test tools.