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.
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.
DETAILED DATA SUPPORT
Real-Time message specificationsSpecifications for our real-time messages, components and fields.
Reuters News SentimentSchema, Example Jupyter notebooks and sample data for our Reuters News Sentiment dataset.
Aggregated News & Social Media SentimentSchema, Example Jupyter notebooks and sample data for our Aggregated News and Social Media Sentiment data.
Reuters News ArchiveSchema, Example Jupyter notebooks and sample data for our Reuters News Archive dataset.
Call your local sales team
Asia Pacific (Sub-Regional)
Australia & Pacific Islands:
+612 8066 2494
China mainland: +86 10 6627 1095
Hong Kong & Macau: +852 3077 5499
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+91 22 6180 7525
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Malaysia & Brunei: +603 7 724 0502
New Zealand: +64 9913 6203
Philippines: 180 089 094 050 (Globe) or
180 014 410 639 (PLDT)
Singapore and all non-listed ASEAN Countries:
+65 6415 5484
Taiwan: +886 2 7734 4677
Thailand & Laos: +662 844 9576
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