One page that answers the four questions that actually matter — in plain English, rewritten every evening after the market closes. Not once every three months.
We run the rules ten legendary investors used — Buffett, Graham, Lynch and seven more — and show you who would buy it and who would pass.
A fair-value estimate built from forward earnings and growth rate — a PEG-based model, not a discounted cash flow — with every assumption in plain sight so you can change it.
The company's own executives (Form 4) and the big funds (13F) — taken straight from the forms they are legally required to file.
Earnings dates, anything the company just told regulators (an 8-K filing), and options positioning — where traders are placing their bets.
No card for the free tier · Monthly or annual on every paid plan · Cancel from the dashboard
47 seconds is enough to get a high-level understanding
That's not a knock on you — it's just how people actually use screens, and how little time most investors give a stock before buying. So instead of another report you'll skim and abandon, we packed the real analysis — quality score, fair value, who's buying, what could move the price — into one pass you can actually finish.
Sources: Gloria Mark, UC Irvine (screen attention span) · Laarits & Wurgler, NYU Stern (investor research time). Cited for context, not as a guarantee of outcome.
Ten investor models scored on the same fundamentals, rolled into one composite percentile.
Ten models, one sheet
A trend model and a compounder model can disagree completely and both be right — they are answering questions about different lengths of time. Every score here carries the horizon it was designed for, so you can weight the ones that match how you actually hold.
Trend and momentum models. They answer whether the market is already moving, not whether the business is good.
Screen-and-rebalance models. Designed to be re-run on a fixed cycle, usually annually, rather than held through a full cycle.
Ownership models. They assume you hold through drawdowns, so they weight durability over timing.
Breakout-driven; positions are typically measured in weeks to a few quarters
Pure trend template — the thesis expires the moment the trend does
Growth plus monetary backdrop; re-checked quarterly, not held blindly
Annual rebalance by design; the edge shows up across a basket over 1–3 years
Needs 2–5 years for earnings growth to close the multiple gap
Originally tested on 12-month holds with an annual rescreen
Deep-value basket with an annual rebalance; single names can stay cheap for years
Built for multi-year ownership — moat durability says nothing about the next quarter
Margin of safety on assets — only pays off if you can wait out the discount
Reinvestment runway compounds over 5+ years; irrelevant to a swing trade
Illustrative model output shown for one sample ticker — to see real, current scores for any of the 4,267 stocks covered.
Freshness audit
Seventeen inputs are checked before a report is allowed to publish. If a field cannot be traced to a filing or a licensed feed, it is dropped rather than estimated — a blank is honest, a guess is not.
Confidence drops when a filing is amended, a segment is restated, or a vendor feed disagrees with EDGAR. You see that drop, not a false all-clear.
The category, honestly
Every incumbent here is genuinely strong at something. The gap is that a self-directed investor has to buy three of them and stitch the answers together by hand — and the stitching is where the 47 seconds goes.
| Differentiator | StockPilot AIfrom $60/yr | Seeking Alpha$299/yr | Zacks$249/yr | Morningstar$249/yr | Simply Wall St~$10–20/mo | Koyfin$39–79/mo |
|---|---|---|---|---|---|---|
| Named investor modelsPublished rules you can audit, each tagged by holding horizon | 10, horizon-tagged | 1 quant factor grade | 1 rank, revisions only | Moat + fair value | 5-axis Snowflake | None — build your own |
| Options positioningOpen interest by strike, max pain, IV rank, put/call | Full chain panel | Not in the retail tier | Not covered | Not covered | Not covered | Not the focus |
| Insider & institutional flowForm 4 net over 180d, 13F holder deltas | Form 4 + 13F delta | Basic ownership data | Not covered | Ownership data | Insider summary | Holders and ownership |
| Filing narrative depth8-K, transcript and risk-factor analysis traced to source | Source-checked, per filing | Author opinion, quality varies | Templated reports | Analyst-written, in depth | Templated commentary | Raw filings, no synthesis |
| Full-report refreshHow often the whole research page is rebuilt | Daily, post-close | Quant daily, articles ad hoc | Rank daily | Analyst schedule | End-of-day prices | Live data feed |
| Depth of coverageNames that get the full treatment, not just a data row | 4,267 US equities | US listed | ~1,000 report names | ~1,000 covered in depth | Global, 50+ exchanges | Global, multi-asset |
Pricing and capabilities compiled from each platform's public materials. Vendors change plans often — re-verify directly before relying on this comparison.
Building in the open
Everything below is real and in active development — not vaporware. Join a waitlist and we'll email you the day it ships.
Browse any ticker's rating history since 2009 — including the misses.
Rating changes, insider cluster buys and price-target revisions, each with the reason attached.
Live today on Quant and Desk — PIT endpoints, 10,000+ calls/day. Ground none of the retail incumbents cover.
Backtest any screen over 17 years of point-in-time data, leakage wall included.
A real native/PWA experience — not a squeezed-down desktop site.
Price, factor history and score history — explorable, not a static image.
Research computed against your actual holdings, not a spreadsheet copy.
The biggest gap in the current universe — most retail portfolios are ETF-heavy.
Take the raw numbers with you. No lock-in.
Yield, growth streak, payout coverage and safety in one view.
Expanding past the US > $1B universe.
Read how the 10 models and the composite score actually work, in plain English.
Free forever. No card. Full 4,267-stock screener from the first second.
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