US equities
Company profiles, valuation context, earnings analysis, forecasts, ownership data, insider activity, and cross-company comparisons.
About SnowballHare
Market research for self-directed investors who want primary sources
SnowballHare turns US stock, ETF, earnings, and SEC filing data into source-linked research for self-directed investors. We organize the evidence so readers can verify what changed and why it matters.
Why SnowballHare exists
One research layer across scattered market sources
SnowballHare connects filings, earnings, ownership data, and market context without hiding the primary source.
Read the founding story Why the platform exists and the principle behind it
Financial information is abundant, but useful investment research is still difficult to assemble. Company filings live in one place, earnings releases in another, insider transactions in EDGAR, institutional holdings in 13F reports, and market context across dozens of disconnected sources. News summaries often remove the details that matter, while raw documents can be slow to compare.
SnowballHare was created to close that gap. The site combines structured data with editorial analysis, preserving links to primary sources wherever possible. The goal is not to tell readers what to buy or sell. It is to make the evidence easier to inspect, compare, and question.
The project began in May 2026 after years spent working around US equities brokerages as a research editor and trader. That experience shaped a simple editorial principle: a useful research page should show its inputs, separate facts from interpretation, and make uncertainty visible.
Coverage
What we cover
US-listed ETFs
Fund structure, holdings, exposures, fees, performance context, and practical research questions for portfolio construction.
SEC filings
Form 4 insider transactions and 13F institutional holdings, normalized into searchable pages with links back to the underlying filings.
Market themes
Opportunity scans, sector and macro context, and educational explainers that connect individual securities with broader market drivers.
We do not currently focus on cryptocurrency trading, options strategies, intraday trade alerts, or real-time execution tools.
Who the research is for
A starting point for investors who want to inspect the evidence
SnowballHare is built for self-directed investors, students of markets, journalists, and research teams that want a faster route into primary documents without giving up the ability to verify the work. It is most useful when the reader already has a question — what changed after earnings, who owns a stock, whether insider activity is unusual, how two ETFs differ, or which assumptions drive a forecast.
Use the page as a map, not a verdict
A structured page can reduce the time needed to find filings, dates, reported values, related ownership records, and relevant analysis. It cannot decide whether the security fits your portfolio. The final judgment still depends on valuation, risk tolerance, time horizon, liquidity needs, and facts that may not be captured in the available dataset.
Read dates and definitions before comparing
Financial datasets operate on different clocks. A market price can be recent while a 13F position is weeks old; an ETF holding can come from a different disclosure date than its price; an earnings article may discuss a fiscal quarter that does not match the calendar quarter. Comparisons are meaningful only when the period, unit, source, and methodology are aligned.
Challenge the analysis
Good research should make disagreement easier, not harder. Check the linked filing, test whether an alternative explanation fits the numbers, compare the conclusion with peers, and ask what evidence would invalidate the thesis. When a source has changed or a statement is wrong, send the page URL and the better source so the record can be reviewed.
Founder & lead analyst
Jessalyn Wanda
Jessalyn Wanda founded SnowballHare and leads its research and editorial direction. Her background includes work as a senior research editor and trader at US equities brokerages, with a focus on turning financial statements, filings, and market data into research that can be checked by the reader.
She oversees research standards, data-source selection, editorial review, and product development. SnowballHare is operated as an independent sole proprietorship based in Hong Kong, with research and editorial presence in Japan.
Follow Jessalyn on XResearch methodology
How a SnowballHare research page is built
Different page types use different inputs, but the research process follows the same basic sequence. Automation helps collect and organize information; editorial judgment determines what deserves explanation and how uncertainty should be presented.
01 Start with the primary source
We begin with SEC filings, company investor-relations releases, earnings materials, fund documents, and established market-data feeds. Secondary reporting may provide context, but it does not replace the source document.
02 Parse and normalize the data
Structured fields are extracted, standardized, and checked for obvious inconsistencies. This makes companies, funds, filings, and reporting periods easier to compare without hiding the original source.
03 Build the factual base
Tables, metrics, dates, and source links form the foundation of the page. Where a value is estimated, delayed, scenario-based, or subject to revision, the page should make that limitation clear.
04 Add analysis where it helps
Earnings and forecast articles interpret the numbers, explain the drivers, test competing scenarios, and identify what investors should monitor next. Forecast ranges are scenarios, not promises or price targets.
05 Connect and maintain the research
Pages link to related company, ETF, filing, comparison, and educational resources. Scheduled data builds refresh supported datasets, while substantive editorial changes are reviewed before publication.
Sources & freshness
Where the data comes from
No single vendor is complete, so SnowballHare uses a layered source model. Primary regulatory and issuer documents take precedence; market-data services support normalization, screening, and comparison.
SEC EDGAR
Form 4, 13F, company filings, filing dates, and accession-level source links.
Issuer investor relations
Earnings releases, presentations, guidance, fund documents, and company-specific disclosures.
Yahoo Finance / yfinance
Market history and reference fields used in research, screening, and page generation.
Finnhub
Supplementary company and market data used where appropriate and cross-checked against primary materials.
Update cadence
Refreshed through scheduled ingestion and site builds as new tracked filings become available.
Published after the relevant release, filing, and supporting materials have been reviewed.
Updated on scheduled builds; market values may be delayed and should not be treated as execution quotes.
Updated on their stated schedule, generally after the US market close where applicable.
Each page should be read with its displayed dates and source notes. Data vendors can revise historical values, issuers can amend filings, and market prices change continuously.
Editorial standards
How we separate evidence from opinion
Trust is earned through repeatable practices. SnowballHare applies the following standards to new research and continues to improve older pages as the site develops.
Source-first research
Material claims should be traceable to a filing, issuer document, fund document, or identified market-data source.
Clear attribution
Editorial analysis is identified as SnowballHare research. Factual data views and analytical conclusions are presented as different layers, not blended into an unexplained score.
Human review
Automation and AI may assist with collection, organization, drafting, or translation. Published editorial analysis is reviewed for accuracy, context, and readability.
Corrections
When we identify a material factual error, we correct it promptly. Readers can report an issue through the contact channel below and should include the page URL and supporting source.
Independence
SnowballHare does not accept payment for favorable coverage or undisclosed placement. Any future sponsorship, affiliate relationship, or material conflict will be labeled clearly.
Uncertainty is part of the analysis
Forecasts, valuation ranges, and scenario work depend on assumptions. We aim to show the key assumptions and risks rather than present an estimate as certainty.
Using the site
Choose the research path that fits your question
Research a company
Start with the stock directory, then move into company pages, earnings analysis, forecast scenarios, comparisons, and related ownership data.
Browse stocksFollow professional ownership
Use 13F pages to study institutional positions and Form 4 pages to inspect disclosed insider transactions, always with the original filing in view.
Explore SEC ownership dataFind context and learn
Use market scanners, thematic research, ETF analysis, and educational guides to understand how a security fits into a wider portfolio or market question.
Open the learning centerContact
Questions, corrections, and collaboration
The fastest way to reach SnowballHare is by direct message on X. We welcome source-backed corrections, product feedback, data-quality reports, and serious research or distribution inquiries.
Last updated: June 13, 2026