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Stocktwits is a social media platform designed for sharing ideas between investors, traders, and entrepreneurs. [1] Founded in 2008 by Howard Lindzon and Soren McBeth, it introduced the use of the cashtag, a way to group discussions around a stock symbol preceded by a dollar sign. [2]
This list contains the top 50 accounts with the most followers on the social media platform X, formerly and commonly known as Twitter. Notable figures such as Elon Musk, Barack Obama, Cristiano Ronaldo, Justin Bieber, Rihanna, Katy Perry, Narendra Modi, and Donald Trump are at the top of the list, each with over 100 million followers. As of ...
Typically, a stock generating $1 million in revenue a quarter and losing $23.6 million would be uninvestable, but the president's connection to Trump Media makes the company unique.
This is a list of notable Twitter services and applications. Twitter's ecosystem of applications and clients crossed one million registered applications in 2011, [1] up from 150,000 apps in 2010. These Twitter apps were built by more than 750,000 developers around the world. [2] A new app is registered every 1.5 seconds, according to Twitter.
Twitter acquired Crashlytics, a crash reporting tool for developers, on January 28, 2013, for over US$100 million, its largest acquisition at the time. [124] Twitter committed to continue supporting and expanding the service. [125] In October 2014, Twitter announced Fabric, a suite of mobile developer tools built around Crashlytics. [126]
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Twitter, officially known as X since 2023, is a social networking service.It is one of the world's largest social media platforms and one of the most-visited websites. [4] [5] Users can share short text messages, images, and videos in short posts commonly known as "tweets" (officially "posts") and like other users' content. [6]
Zhang et al. (2011) [34] and Bollen et al. (2011) [35] report Twitter to be an extremely important source of sentiment data, which helps to predict stock prices and volatility. The usual way to analyze the influence of the data from micro-blogging platforms on behavior of stock prices is to construct special mood tracking indexes.