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November 2016

US Election 2016

MoodSights’ predictive analytics (a combination of search engine results, emerging keywords from social media and structured data from blogs / media web sites) was able to anticipate Donald Trump’s election as of 1:00 PM EST / 7:00 PM CET on November 8th, more than 10 hours before the news was confirmed.
(see graphs below)

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From 7:00 PM CET (Nov 8th), Donald Trump increased his lead over Hillary Clinton until it reached a top around 6:00 AM CET (Nov 9th) when there was no doubt he would be the 45th president of the US.

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Providing this type of data – eg. people’s mood during election day – as a last minute crucial piece of information is the core of MoodSights‘ positionning and the groundworks of what we strive to deliver to our clients.

Relevant insights, before it happens, to take better business decisions.

 

If you want to know more about MoodSights, please contact us at contact@moodsights.com.

 


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October 2016

MoodSights  is accredited with Finance Innovation label

comm_logo-label-finance-innovation-oct-2016This label is awarded annually to the top most innovative French Fintech startups. Since the beginning of the program in 2008, only 300 companies have been accredited. As of Sept. 29, 2016 MoodSights is now one of them.

MoodSights is a new, unique and cutting-edge Smart Data company that turns consumers’ and markets’ mood into early stage buy and sell stocks signals through algorithms and artificial intelligence technology.

Join us during next Finance Innovation event, at the Fin&Tech Community on Dec. 7, 2016.
More info here.

You can also reach us on Finance Innovation website here.