A collection of large training datasets designed for customers to train their own large language models (LLMs).
~$25,000/yr est.
On-demand
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Freshness
Recently enriched
Complete
81%
API
No API
Offering: NLP-derived sentiment, event, and risk scores extracted from global financial news and regulatory content, delivered via real-time feeds and Snowflake.
Best for: Quantitative hedge funds and systematic traders building alpha signals or risk models based on real-time news and event sentiment.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$25,000/yr est.
Request a sample directly from RavenPack.
RavenPack's Post
... RavenPack Annotations a dataset of training sentences annotated with sentiment information on the entities detected in each sentence. This method has shown ...
Jon Anders Tangnes' Post
The technical edge: RavenPack Annotations gives you sentence-level sentiment with section markers and entity coordinates. No need to build your own NLP ...
Expected fields and columns in this data product
RavenPack Annotations is a sentiment analysis data product offered by RavenPack, available on discovery. Data is updated on-demand. Vedex estimates pricing at roughly $25,000/yr (an estimate, not a vendor-published price).
A collection of large training datasets designed for customers to train their own large language models (LLMs).
RavenPack is a data provider & platform vendor based in Spain. RavenPack is a leading big data analytics provider for financial services, specializing in transforming unstructured content into structured, actionable data for systematic trading and risk management...