RavenPack
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About RavenPack
RavenPack in a Nutshell
RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content.
The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows.
RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world.
Geo Coverage
Data Offering
Use Cases
Finance
- Asset Management
- Index Development
- MArket Surveillance
- Portfolio Construction
- Quantitative Trading
- Risk Management
- Trading Desks
Corporates
- Risk Management
- Corporate Strategy
- Investor Relations
- Product Development
Data Sources & Collection
Internal documents, emails, instant messages, news, social media, and other textual data.
News Analytics:
RavenPack derives data from real-time news, social media, press releases, and regulatory feeds from over 19,000 sources.
Your own Digital Content:
emails, files, html, pdf, more than 1,000 data formats are supported
Key Differentiators
Extended Dataset Description
RavenPack News & Social Media Analytics: Allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows.
RavenPack Text Analytics: text analysis as a service, turning clients content into a strategic asset
Use Cases
ALPHA GENERATION AND RISK MANAGEMENT
- Fundamental and Discretionary Investors seeking a more “quantamental” or data driven approach to investing and trading.
- Research Analyst and Portfolio Managers sorting through the noise and identifying relevant signals from regulatory filings, broker research, transcripts, news, blogs, investor notes, etc.
- Data Scientists and Quantitative Analysts incorporating structured data derived from unstructured content directly into investing and trading models.
- Compliance Officers and Risk Managers eliminating false positives and getting alerted on relevant internal conversations. Providing proof of conversation for regulators.
Product Differentiation
- Industry pioneer backed by proven research and reputable publishers.
- Version controlled RavenPack data delivered through the RavenPack API, self-service data platform as well as visualization tools via the RavenPack platform
Integrations
Frequently asked questions about RavenPack
What does RavenPack do?
RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world.
How much does RavenPack cost?
The supported pricing models for RavenPack’s data are available by getting in contact with them via Datarade. Get talking to a member of the RavenPack team to receive custom pricing options, information about data subscription fees, and quotes for RavenPack’s data offering tailored to your use case.
What kind of data does RavenPack have?
Stock Market Data, Alternative Data, Event Data, and Corporate Actions Data
How does RavenPack collect data?
Internal documents, emails, instant messages, news, social media, and other textual data. News Analytics: RavenPack derives data from real-time news, social media, press releases, and regulatory feeds from over 19,000 sources. Your own Digital Content: emails, files, html, pdf, more than 1,000 data formats are supported
What are the best use cases for RavenPack’s data?
Finance Asset Management Index Development MArket Surveillance Portfolio Construction Quantitative Trading Risk Management Trading Desks Corporates Risk Management Corporate Strategy Investor Relations Product Development
What platforms is RavenPack integrated with?
Open:FactSet Marketplace, Crux Informatics, and BattleFin Ensemble