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Quiver Quantitative provides a stock research platform that leverages alternative data to deliver actionable insights. The company specializes in aggregating and analyzing unique datasets, such as government contract awards, congressional stock trades, and corporate lobbying expenditures, transforming this raw information into accessible indicators for market participants. Their approach focuses on delivering proprietary data feeds designed to enhance investment analysis and decision-making.
The company was founded in 2020 by twin brothers Christopher Kardatzke and James Kardatzke. Their entrepreneurial endeavor stemmed from a shared observation that individual investors often lacked access to the sophisticated alternative data resources readily available to large financial institutions. This insight spurred them to create a platform that could level the playing field by democratizing access to high-value, previously inaccessible market intelligence.
Primarily serving retail investors, Quiver Quantitative aims to empower individual traders by equipping them with institutional-grade data. The company's overarching vision is to bridge the information asymmetry between Main Street and Wall Street, fostering a more informed and equitable financial landscape where all investors can make well-researched trading decisions. Their work is geared towards enhancing transparency and data-driven understanding in the investment community.
Quiver Quantitative has raised $2.0M across 1 funding round.
Quiver Quantitative has raised $2.0M in total across 1 funding round.
Quiver Quantitative has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in March 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2022 | $2M Seed | — | Allos Ventures | Announced |
Quiver Quantitative has raised $2.0M in total across 1 funding round.
Quiver Quantitative's investors include Allos Ventures.
Quiver Quantitative is a financial software company that builds a web-based platform aggregating alternative stock data scraped from the internet, enabling retail investors to access big data insights typically used by Wall Street professionals.[1][2][3][4] It serves non-professional investors by providing free and premium dashboards with live data on Congress trading, insider trading, institutional activity, government contracts, social media trends, and more, solving the information asymmetry between retail traders and institutional players.[1][5] The platform has raised under $5 million across two funding rounds, maintains a small team of under 25 employees in Wisconsin, and shows growth through premium features like backtesters, alerts, and copytrading partnerships.[2][5]
Quiver Quantitative was founded in February 2020 by two college students aiming to bridge the data gap between Wall Street and everyday investors.[2][3] Operating from Spring Green, Wisconsin, the company quickly evolved from a basic scraping tool into a comprehensive dashboard, gaining traction by offering free access to unique datasets like congressional trades and insider purchases.[1][4] Key early hires include a CEO & Co-Founder, Head of Sales, and Head of Marketing, supporting its expansion amid rising retail investing during market volatility.[2]
Quiver rides the democratization of alternative data trend, fueled by retail trading booms via apps like Robinhood and meme stock surges, where public scrutiny of insider/Congress trades amplifies demand.[1][5] Timing aligns with post-2020 regulatory pushes for transparency (e.g., STOCK Act disclosures) and AI-driven data scraping, positioning it amid fintech's shift toward accessible big data amid market forces like inflation forecasts and social sentiment analysis.[4][5] It influences the ecosystem by leveling the playing field, inspiring quant tools on platforms like QuantConnect, and fostering retail empowerment in a $100T+ global investment landscape.[3]
Quiver Quantitative stands out by arming retail investors with Wall Street-grade alternative data in a user-friendly package, poised for expansion as retail trading volumes grow and AI enhances data scraping/insights.[2][5] Expect deeper integrations with trading apps, more datasets (e.g., expanded AI sentiment), and potential acquisitions by fintech giants, with trends like real-time regulatory data and copytrading driving user growth beyond its current sub-$5M funding base.[2][5] Its evolution from student project to industry-trusted tool underscores a lasting role in bridging info gaps, empowering the next wave of informed traders.
