How does bloomberg get data

IDC — Sometimes publishes portions of their reports for free. Gartner — Follow their free webinars and you can usually get more information than just what is in print online.

Markets and Markets — A good starting place and has some research on niche industries. Research and Markets — Similar to Markets and Markets. TAM Workshop — This quick tutorial goes over the basics of market sizing and includes some good creative resources for finding data.

Macro Data Trading Economics — Macro data by country. Includes forecasts. World Bank — Data on a plethora of topics with 19, datasets as of November Everything from economic growth statistics to inflation rates, interest rates, FX rates, income statistics, employment statistics, population statistics, education statistics, tax rates, etc.

Includes statistics like CPI, unemployment rate, productivity, and regional data. Crunchbase — Investments and funding information on private companies. Includes information on founding members, rounds, raises, etc. Free and paid versions. Stock Research Reports Morningstar — Can access research reports with a free trial. Research is a great starting point and they take their work seriously. ValueInvestorsClub — Some quality research can be found here. Includes company overviews, history, and analysis.

SeekingAlpha — Some armchair experts, some serious research. They often obtain snippets from sell-side research reports. Career Advice. Your Privacy Rights. To change or withdraw your consent choices for Investopedia. At any time, you can update your settings through the "EU Privacy" link at the bottom of any page.

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How to Use Bloomberg Terminal. How to Get Bloomberg-Like Data. The Bottom Line. Key Takeaways The Bloomberg terminal is both a hardware and software system which includes a keyboard with color-coded keys. Red keys are for stop functions, green keys are for actions, and yellow keys reflect different market sectors.

The Bloomberg terminal comes with a hefty price and is mainly used by professional investors. LAW F1 Global law and regulation, litigation, legal analysis, news, etc.

Bloomberg's first keyboard, called The Chiclet, was hand-assembled and released in Article Sources. Investopedia requires writers to use primary sources to support their work.

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This compensation may impact how and where listings appear. Investopedia does not include all offers available in the marketplace. Related Articles. Company Profiles Bloomberg vs. Whether that data includes foot-traffic in retail outlets collected from FourSquare or the path of merchant ships collected from satellite, it all needs to come together in an accessible manner via the Bloomberg interface. Today, the Bloomberg Terminal uses an array of data science tools and techniques — including machine learning, deep learning, and natural language processing NLP — to separate signals from noise and surface valuable insights to financial professionals.

While the number of journalists employed by newspapers might be going down, the amount of potentially relevant information flowing around the world is going up.

As you start to string together these relationships, you can only do that algorithmically. But we do a lot of meta-analysis. There is also a lot of relevant data hidden in graphs and tables in the quarterly reports that are submitted by publicly traded companies. That approach has thankfully given way to more automated approaches over the years, and is to the point where machine learning algorithms can basically reverse engineer the table and extract the relevant pieces almost entirely automatically.

For Bloomberg, the effort required extensive investment in building and running machine learning models, including deep learning. In addition to providing the news and stock data to subscribers, Bloomberg also provides analytic tools to help investors model their portfolios.

These are complex statistical tools that also benefit from new analytic approaches. The company is constantly experimenting with new technologies and looking for ways they can improve the product. It tries to use open source products where it can, but it will buy a proprietary tool if equivalent functionality is not in the open realm.

The company has invested in software frameworks like TensorFlow and has high-powered GPU clusters to train and execute the models. I think a real big question for us is what new [capabilities] do the deep nets offer. We go to a lot of conferences and we publish a fair amount of research. Like many companies that are leaders within their industries, Bloomberg works closely with the open source community. For example, its developers have committed back a large number of fixes and features for the Apache Solr search engine.

That kind of a model feels right. Bloomberg has contributed back to other open source projects, too, including the Jupyter data science notebook, which is central to its Python data science initiatives.

We do lot of Kubernetes and Spark. Mann is a founding member of the Data for Good Exchange D4GX , a group Bloomberg founded to explore and promote the use of data science to solve societal problems. The Bloomberg Terminal has changed considerably over the years, and it will likely continue to evolve as the big data boom continues its expansion, and as technology improvements make it possible to process ever-larger amounts of data and surface the insights to wider audiences.

I imagine the world will still be mostly recognizable, but I think there will be immense change. Your email address will not be published. Notify me of follow-up comments by email. Notify me of new posts by email. View More….