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FactSet Estimates - Detail

Data Feed by FactSet

Added to Marketplace for Purchase: Jan. 31, 2011

Highlights
  • Review comprehensive detail-level estimates and statistics from leading investment banks and research firms
  • View estimate types for thousands of active and inactive global companies, including segment estimates and company-issued guidance and actuals, as well as commodities and sector-specific data
  • Benefit from persistent analyst identification and tracking from broker to broker, including contact information where available
Feed Coverage
Region CountTypeStart Date
Africa 1,350Entities2000
Asia 21,650Entities2000
Europe 15,120Entities1997
Latin America 740Entities2000
Middle East 1,330Entities2000
North America 16,540Entities2000
Pacific 2,340Entities2000
Feed Details
Updated intraday, the FactSet detail estimates feed provides individual broker-level estimates collected from over 800 sell-side analysts. This database contains 20+ years of broker history across more than 59,000 global companies. Data Frequency: Quarterly; Update Frequency: Intraday.

Firm Information
FactSet creates data and technology solutions for investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. We combine our unique proprietary datasets, your in-house data, and third-party unstructured data to help you see and seize opportunity sooner.
Community Discussion
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Today we would like to inform you that we have made a major update for our emotional data API and released version 3 in February 2019. Additionally, to general improvements of stability and redundancy we have added some new and very interesting data sets. For more information just visit our websi...

What kind of Alternative Data clients are looking for last activity Mar 24, 2019 10:30 pm
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We conducted a survey on Alternative Data demand during the https://advantage.factset.com/factset-buy-side-forum-tokyo-2019 FactSet Buy-Side Forum Tokyo last week. Not surprisingly, ESG tops the list among 18 categories as Japanese financial institutions began integrating ESG investment strategie...

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NVDA - 3 19.png NVDA%20-%203%2019 NVDA - 3 19.png 1756×570 63.3 KB

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Working with Japanese Earnings Call Transcripts: StanfordNLP What open-source packages are you using in the NLP space? I had always found Python’s NLTK package easy to use. A recent https://medium.com/analytics-vidhya/introduction-to-stanfordnlp-an-nlp-library-for-53-languages-with-python-code-d7...