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Twitter provides an incredible wealth of real-time information and public opinion on breaking news for companies, stocks and industries. The challenge is, how can you tap into this stream of information to help identify trends to support trading decisions.
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Social Sentiment & Stock Markets The canary in the coalmine
Research In Motion Case Study
Testing the correlation between Public Sentiment on Twitter and Stock Price
Social Media Content Analysis Dow Jones 2012-01-17 (15 minute time frame)
DataSift provides funds with new data and insights to drive trading decisions Sentiment and Semantic analysis can be used to identify real-time trends and swings in sentiment towards stocks, industries and news. Example correlation between negative spike in sentiment and price decline for DJI index-price on 17-Jan-2012
Case in Point: Research-In-Motion (Blackberry)
Mentions of RIM surge on Twitter Sentiment of Tweets mostly pessimistic Spike in negative sentiment
RIM Social Media Content (1 hour time frame)
Announcement of
Resignation
Jan 21 - RIM’s co-CEOs announce resignation
Which countries did the Tweets come from?
A Global Topic of Conversation
Canada 30%
USA 30%
UK 20%
APAC 10%
RIM Social Media Content (15 minute time frame)
Markets Open – as expected, RIM Tumbles
① Surprising spike of positive sentiment at beginning of trading hours (14:30 UCT)
② As expected, RIM stock price drops on market-opening
①
②
Stock price declines for 20 mins, but social sentiment turns-around – 5 minutes later, stock reaches support level
1. As expected Stock Declines
2. Sentiment Inflection Point Sentiment on Twitter switches to positive value around 14:45(09:45 ECT), despite price still falling.
5 min latter the stock price reaches the support level at 15.88.
3. Support Level Tested This level is tested again after 15:20 and holds, as the sentiment of social media content remain positive.
② Sentiment Inflection
Point
③ Support Level Tested
① Stock declines
Geographic location
Author's social influence�(Klout score)
Number of followers
Language
Timezone
Social media platform
Gender
and up to 160 other categories...
To help make sense from social data, DataSift can aggregate data by:
DataSift – a powerful platform for creating insights from social media
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RIM Social Media Content (Klout Score above 40)
Social Influencers were good canaries
To learn more visit
www.datasift.com/finance