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An overview of News Analytics
Refinitiv Machine Readable News Analytics tools can turn today’s vast amounts of unstructured data into actionable insights to maximize your returns and spot event risk.
News flow and sentiment are important sources of signals in quantitative stock selection and systematic trading. However, vast amounts of today’s news and social media data are unstructured.
And it’s difficult to understand whether the market perceives news as positive or negative and if it’s relevant to a company.
Key Facts
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Geographical coverageGlobal
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HistoryFrom 2003
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Data formatJSON
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Delivery mechanismAPIFTPSFTP
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Data frequencyContinuous
Features & Benefits
What you get with News Analytics
- Real-time news analytics generated from real-time news messages.
- Structured analytics including asset sentiment, relevance, and novelty.
- History back to 2003 for research and back-testing.
How it works
Accessing the dataset
This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.
Refinitiv Machine Readable News Real-Time
- Data Formats:
- JSON
- Delivery Mechanisms:
- FTP
- API
- SFTP
- Service Frequencies:
- Real time
DETAILED DATA SUPPORT
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Real-Time message specificationsSpecifications for our real-time messages, components and fields.
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Reuters News SentimentSchema, Example Jupyter notebooks and sample data for our Reuters News Sentiment dataset.
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Aggregated News & Social Media SentimentSchema, Example Jupyter notebooks and sample data for our Aggregated News and Social Media Sentiment data.
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Reuters News ArchiveSchema, Example Jupyter notebooks and sample data for our Reuters News Archive dataset.
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