Trading Stocks With Social Networks Data

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Trading Stocks With Consolidated Large-Scale On-Line Opinions By Davide Boiardi, Natural Language Processing Workshop, London, March 2014.

Transcript of Trading Stocks With Social Networks Data

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Trading Stocks With Consolidated Large-Scale On-Line Opinions

By Davide Boiardi, Natural Language Processing Workshop, London, March 2014.

Equities Researchers and Traders Post 1,000,000+ opinions Every Business Day (On Average) to Twitter , StockTwits , Estimize , StockProphets , FaceBook and Other Social Networks in Relation to 6,000+ US Stocks.

Publicly Traded US Stocks are Identified on Social Networks by the CashTag.For Example: JP Morgans Cashtag is $JPM; i.e. $ + the Trading Mnemonic.

Social Networks Content Can be Read and Understood With Natural Language Processing (NLP) Algorithms.

Millions of Opinions Can be Read and Consolidated Every Second in Order to Gauge The General Opinion Regarding a Particular Stock.

www.usstocksrightnow.com

A Simple Proof of Concept Was Developed On the Amazon Web Services (AWS) Platform In Order to Monitor, Mine, and Consolidate Millions of Opinions regarding 6,000+ Publicly Traded US Stocks.

Given that Companies Sell Products and ServicesIt makes Sense to Mine Social Networks for Customer Opinions On Such Products and Services in Order to Model and Forecast Stock Price.

Our Algorithms Have Been Successfully AdoptedBy Our Customers Operating in Asset Management,Retail, and Pharmaceutical Industries.

If You Would Like to Know More, PleaseDont Hesitate To Contact Us.

[email protected]

Thank you for your time.

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