AlphaVue
VerifiedAI stock research that builds bull and bear cases from SEC filings
Product preview
AlphaVue
What it is
AlphaVue is a web-based research assistant for investors who buy and hold US public equities. You enter a ticker and, in roughly a minute according to the company, it reviews 10-K and 10-Q filings from SEC EDGAR and assembles a dossier covering revenue growth, margin trends, customer concentration and cash flow. Each claim is tagged with its source, and points it cannot verify are flagged as unknowns rather than guessed. The report also proposes measurable exit rules, such as a gross margin threshold, that would invalidate the thesis. A free plan covers a limited number of monthly analyses, while Pro adds higher limits, email alerts, daily briefs and saved thesis monitoring.
Key features
- Ticker-to-dossier analysis from 10-K and 10-Q filings
- Source-labeled bull and bear evidence
- Quantified exit rules for each thesis
- Thesis monitoring with alerts on Pro
What we liked
- + Cites primary filings for key claims
- + Flags unknowns instead of filling gaps
- + Low-cost Pro plan
Worth noting
- · Covers US public equities only
- · Free tier caps monthly analyses
Editor's notes
More context from AI BirdView
A lot of AI stock tools stop at a summary. AlphaVue is built around a more disciplined question: what would have to be true for this investment to work, and what would prove it wrong? It pulls its evidence from SEC filings, labels where each point comes from, and writes down exit conditions you can actually check later.
- Research dossiers grounded in 10-K and 10-Q filings from SEC EDGAR
- Bull case, bear risks and open unknowns kept clearly separate
- Measurable exit rules, such as margin thresholds, attached to each thesis
- The company says calculations are checked with deterministic code rather than left to the model
- Pro adds email alerts, daily briefs and a running decision history
AlphaVue is best for self-directed investors who want a structured second look at a US stock before buying or while holding it. A practical tip: open one of the public sample dossiers first to see how the reports are organized, then run your own ticker and compare its unknowns list with your own notes. Treat the output as research support, not as financial advice.
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