TickerTags

TickerTags
Founder Chris Camillo
Founded at Dallas, Texas
Website https://www.tickertags.com

TickerTags is a social data intelligence company, located in the US. The company is known for having accurately predicted the Brexit results in 2016 using Twitter data.[1]

The company was founded in 2015, by the American investor Chris Camillo.[2]

History

The company was founded in 2015, as a technology startup in Dallas, Texas. It was first launched as a free beta for entrepreneurs and regular people.[2][3]

TickerTags gather data from Twitter and other social media channels, and use the information for generating predictive models.[4] In 2016 the company made several predictions that forged its name, including accurate predictions about Pokemon Go,[5] the results of the 2016 Brexit referendum[6] and Netflix.[7] Recently it also made predictions regarding sales figures of Starbucks.[8]

References

  1. Duggan, Wayne (24 June 2016). "TickerTags First to Call Brexit Results Using Twitter Data". Benzinga. Retrieved 20 March 2017.
  2. 1 2 "The Pitch : Dallas Startup Tickertags to Launch Beta". Bizjournals.com. 21 July 2015. Retrieved 20 March 2017.
  3. "Stock investors: TickerTags is now offering a free, early-warning listening platform". VentureBeat. Retrieved 20 March 2017.
  4. "How Hedge Funds Use Twitter to Gain an Edge in Trading". The Epoch Times. 1 March 2017. Retrieved 20 March 2017.
  5. Duggan, Wayne (12 July 2016). "Pokémon's Wild Comeback Dominated Social Chatter Of Previous Apps". Benzinga. Retrieved 20 March 2017.
  6. Chung, Frank (2 November 2016). "Trump pushes 'fear index' to Brexit levels". News Corp. Retrieved 20 March 2017.
  7. "Netflix Earnings: Analyzing Social Media Activity Ahead Of The Report". Seeking Alpha. 18 June 2016. Retrieved 20 March 2017.
  8. Bary, Emily (1 February 2017). "Will a Starbucks Boycott Actually Help Sales?". Barrons. Retrieved 20 March 2017.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.