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Exploring Quiver Quantitative Features
May 16, 2025
Quiver Quantitative - Tutorial Notes
Introduction to Quiver
Traditional analysis relies on quarterly financial reports, which are outdated by months.
Alternative Data:
Used to gain timely insights, includes any non-traditional financial data.
Examples:
Social media growth
Politician stock trading
Government contracts
Most providers sell data to institutions at high costs.
Quiver aims to bridge gap between professional investors and individual traders by providing free access to alternative data.
Using the Quiver Platform
Data Dashboards
Provides easy visualization of various datasets.
Example: Government Contracts dashboard to view which companies have received contracts in last 90 days.
Quiver Strategies
Backtested performance of trading strategies based on Quiver's data.
View current holdings and recent trades.
Allows replication of strategies for personal portfolios.
Ticker Search
Offers detailed data and financials for a specific company.
Helps in making informed buy/sell decisions.
Quiver's Data
Data primarily collected through public web scraping.
Aggregates approximately 30 different datasets.
Data sources include Congress Trading, WallStreetBets discussions, etc.
Updated in real time throughout the day.
FAQs
What is Quiver Quantitative?
An investment research platform offering alternative data freely to users.
What is Alternative Data?
Non-traditional data such as social media, web traffic, and government disclosures.
How is Quiver Different?
Offers free data access, unlike other providers who charge high fees.
Aims to serve retail investors, not just institutions.
Investment Services
Quiver does not provide investment or trading services.
Data Sources
Aggregates data from public and proprietary sources like the FDA, Twitter, and US Patent Office.
Contact Information
Reach out at
[email protected]
for queries.
Data Update Frequency
Varies by dataset; generally updates daily after market close.
The r/wallstreetbets dataset updates throughout the day.
Quiver API
Allows deep analysis and research.
API documentation available online.
Additional Support
Contact
[email protected]
for further questions or comments.
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View note source
https://www.quiverquant.com/tutorial/