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Announcing the Launch of When we started Estimize, Inc. in June of 2011 the vision was to build a company that would crowdsource forward looking financial expectations across a spectrum of different data sets. Our first area of focus would be EPS and Revenue expectations for publicly traded, US listed, companies. Since launching that data set in November of 2011 we have more than 4,000 contributing analysts, 25,000 registered users, 140,000 people who viewed estimates this quarter, coverage on over 1,000 stocks this quarter, more than 17,000 estimates made in the last three months, and proof that our orthogonal philosophies work. Not only is the Estimize Consensus more accurate than the Wall Street estimate data set of record (IBES) 65% of the time, but more importantly it is more representative of the true expectation of the market, as determined by several peer reviewed academic papers, the Deutsche Bank quant research team, and our own quant research team (Vinesh and I). Why mergers and acquisitions?

Alpha Personal Analytics Connect with Faceook, sign in for free, and get unique, personalized information anad analysis on your social data-computed by Wolfram|Alpha Clustering of your friends What are the groups of friends that make up your network? How do these groups relate to each other? Where in the world are your friends? Where do your friends live? Easy Chart Builder plugin for WordPress Easy Chart Builder makes it easy to incorporate sophisticated review charts and graphs directly within a post, page, and even a widget. Hey, its free. Try it out. You can download the latest version here:Easy Chart Builder And support forum here:support Forum

Yodlee MoneyCenter - Registration These Terms of Use (“Terms”) are an agreement between you and Yodlee for the Yodlee Consumer Direct Services (PersonalFinance, Yodlee SmallBusiness and YodleeWealth) that are provided to you by Yodlee. The Third Party Developer Financial Applications (FinApps) are provided to you by Third Party Developers and these Terms are an agreement between you and the Third Party Developer with respect to Third Party Developer FinApps. The Yodlee PersonalFinance Yodlee SmallBusiness and YodleeWealth services are collectively referred to as "Yodlee MoneyCenter" in these Terms. Acceptance of Terms. When you click on the "I Accept" button, you agree to these Terms. If you do not agree to all of these Terms, click on the "Cancel" button.

woorank All fields are mandatory Invalid email address All fields are mandatory Forgot your password? Spreading messages on Twitter: Research on best practices for wording and rhetorical craft As Derek Thompson of The Atlantic pointed out in a February 2015 post, the click-through rate for links shared on Twitter can be shockingly low, and little Web traffic is typically yielded by publishing sites, despite the superficial appearance of a frenzy of viral activity throughout Twitter’s ecosystem. Likewise, in a first-of-its-kind big data study on the dynamics of Twitter — a 2014 paper titled “The Structural Virality of Online Diffusion” — Stanford’s Sharad Goel and Ashton Anderson and Microsoft Research’s Jake Hofman and Duncan J. Watts come to similar conclusions.

Our Broadcast Facilities - Tip TV Tip TV comes to you live from our studio in the heart of the City, beside St. Paul's and The London Stock Exchange. We selected the Studiobot™ broadcast platform, developed by International Capital Connections Limited for their investor communications business, and operated by their sister company, Webinact Limited. This technology can be operated entirely remotely, which will allow Tip TV to open studios internationally, all controlled from our single production centre. Our Studio accommodates a presenter plus 4 guests, with two sets - on sofas for a fireside chat, or more formally around a table. Three broadcast-standard cameras stream high quality HD or SD programs and our Tricaster™ facilitates vision mixing and Chroma key/Green screen effects.

Working with Timelines Introduction The Twitter API has several methods, such as GET statuses / user_timeline, GET statuses / home_timeline and GET search / tweets, which return a timeline of Tweet data. Such timelines can grow very large, so there are limits to how much of a timeline a client application may fetch in a single request. Applications must therefore iterate through timeline results in order to build a more complete list. Because of Twitter’s realtime nature and the volume of data which is constantly being added to timelines, standard paging approaches are not always effective. The goal of this page is to demonstrate the issues Twitter developers may face when paging through result sets and to give best practices for processing a timeline.