Understand the risk and the reward of any stock or fund you own, in plain English.
Type a symbol and Stockonomy reads the filings behind it — which line item moved, by how much, and what that changes about the business.
Every figure traceable to the filing · No credit card required
The things people actually arrive here holding
Is the dividend on this safe?
The payout is set against the free cash flow that has to fund it and the debt maturing in front of it, so you can see whether it is being paid out of the business or out of the balance sheet.
Read the method →Why is this stock's P/E meaningless right now?
One write-down or a single tax item in the denominator makes the multiple describe an accounting event instead of the business. The read names the item and shows what the ratio looks like without it.
Read the method →Most of what I own is my employer's stock. How exposed is that?
Your income and your savings then depend on the same set of filings. The read treats that as one exposure rather than two, and says what would have to go wrong for it to matter.
Read the method →How do I know this isn't just an AI opinion?
The signals are deterministic Python over the XBRL a company filed, and every figure carries the EDGAR document and as-of date behind it. Where a filing does not disclose something, the metric is withheld and says why, rather than being estimated.
Read the method →Not a score. The line item that moved, and what it changes.
Where the evidence is, rather than a number quoted at you
The proof page
The point-in-time backtest and the case studies, with the limits stated beside them rather than in a footnote at the bottom.
See the proof →The case library
The signal classes this engine reads, replayed on documented accounting failures using only the filings that were public before each collapse.
Open the case library →The calibration panel
How the grade bands separated across the backtest panel, and where that separation is at its weakest — read live from the engine on every page load, never typed into this copy.
Read the live panel →The footnote that breaks the thesis,
found before you commit capital.
For the name you're about to buy, the bet you're sizing up, or the holding you're deciding whether to keep — the calls where being wrong actually costs you, and you can still do something about it. Stockonomy is the forensic layer underneath your own research: a deep, reproducible read of every company's real 10-K, 10-Q and 8-K — how fragile the balance sheet is, whether the earnings are real cash or accruals, and whether the price is actually justified by the fundamentals. Verified XBRL, source-linked to EDGAR. Built to flag the disasters institutions screen for — not to sell you the next winner.
Every figure traceable to the filing · No credit card required
Illustrative example of the output format — not a live or current verdict for these names.
The same forensic checks, replayed before the collapse
We don't claim to predict the future. We show something checkable: the kinds of signal our engine reads — cash that never matches profit, balance-sheet fragility, revenue outrunning its receivables — were sitting in the public SEC filings before these companies came apart. Run on data truncated to before each blow-up. Reproducible, no AI guesswork.
And we don't hide behind a fake price target. Every name gets a calibrated 12-month return band — an honest probability range with a fat downside tail, not a single number. Across 2,800+ point-in-time cases the 80% band contained the real outcome 79.6% of the time, so it brackets reality about as often as it claims. That coverage figure spans every case, including the years the model was fit on; the part validated strictly on years the fit never saw is its ability to rank the blow-ups. The whole track record, and its limits, are public.
See the full proof & calibration →The answer is in the filing. Nobody has time to read it.
Whether a business is healthy, whether the earnings are real, whether the price makes sense — it's all disclosed in the 10-K and 10-Q every company is legally required to file. But that's 200 pages of footnotes per name, per quarter, and the signal that matters — cash that never matches profit, leverage outrunning coverage, revenue outrunning receivables — sits buried where a quick glance never finds it. Stockonomy runs the forensic checks an analyst would do by hand, on every filing, and shows the work.
The forensic work-up an analyst would do by hand
Built on the same primary SEC data institutions pay for — turned into a reproducible read on the risk and the reward, with every figure traceable back to the filing.
Forensic distress & earnings-quality screens
How close the balance sheet sits to the shape companies had the year before they restructured, and whether this year's accruals, margins and asset mix moved together in the combination seen at filers later found to have overstated earnings — the same screens institutions run — plus cash-conversion, accruals, DSO and DIO checks. The first question is always 'is this business sound underneath the price', not 'is it going up'.
Every number traceable to the filing
Figures come from XBRL, each one source-linked to the exact EDGAR document and as-of date. A value the primary filing doesn't support isn't estimated or filled in from a data vendor — it's left out, so a number that appears on the page is a number that came from the filing.
Price-aware verdict, with the reasoning
Is the price justified by the quality? One coherent verdict — sound and fairly valued, pricey but defensible, or carrying more risk than the reward supports — built as a causal chain from filing to line item to consequence, not a black-box score.
The whole filing, read and queried
A deep read of the real 10-K, 10-Q, 8-K and Form 4 behind every name, plus unlimited Q&A that retrieves over the complete filing — ask about a segment, a covenant, dilution, or a footnote and get the passage, not a guess.
Management tone, tracked across years
We compare management's own words across years of filings to surface when confidence quietly shifts — new hedging around a segment, a customer, or liquidity. Context on the people running the business, grounded in what they actually wrote.
Insider activity & dilution, in context
Form 4 buying and selling (10b5-1 plans separated out) and share-count dilution or buybacks — read as signals of how the people closest to the business see its value, explained rather than just listed.
Reproducible proof, not back-fit claims
The forensic checks are deterministic Python, calibrated point-in-time against history — and replayed on data truncated before each well-known collapse so you can verify the signal classes were visible in the filings beforehand.
A weekly sector teardown
Each week we run an entire sector through the same engine and email a plain-English read on which names look sound, which look stretched, and which the screens flag. A two-minute skim.
How it works
Enter a ticker
Any name you're researching or already hold. Stockonomy pulls its real EDGAR filings — 10-K, 10-Qs, 8-Ks and Form 4s — and the verified XBRL behind them.
The engine runs the forensics
Distress and earnings-quality screens, cash-conversion and accrual checks, sector-relative valuation, capital allocation and management tone — deterministic, calibrated, and source-linked to the filing.
You get one coherent verdict
A single price-aware read — sound and fairly valued, pricey but defensible, or carrying more risk than the reward supports — written as a causal chain you can audit, not a black-box score.
Track it, and get flagged on change
Add names to a watchlist and Stockonomy re-checks them after each new filing, emailing only the material changes — a downgrade in quality, a forensic disclosure, an insider cluster.
The analysis is free. Here's the honest plan behind it.
The full forensic work-up — on any US company that files a 10-K, any time you ask — is free for individual investors, no card. That's the point: the analysis is the demo. The business sells to professionals — advisors and firms who need a documented, defensible due-diligence record, and platforms that license the engine. Your individual use stays free, and we don't sell anything that identifies you.
Why it costs us little
The forensic core is deterministic Python over free, public SEC EDGAR data — not an expensive model running on every screen. The heavy computation is cached and shared across users, so the cost of one more analysis stays near zero.
How we plan to fund it
Individual analysis stays free — it's the demo and the funnel. The revenue comes from professionals: advisor and firm subscriptions for documented due diligence, and non-exclusive licensing of the forensic engine to platforms (we host and keep improving it; they rent the use). We don't sell the company or hand over the IP, and we don't claim deals we haven't made yet — this is the plan we're building in the open.
What we won't do
We don't sell data that identifies you — not your email, not your individual activity — and we take no order flow. We're not an ad business monetizing your attention, and the forensic verdict itself is never for sale: no company can pay to change its grade. Our incentive is that the analysis is right.
Free for individual investors. Run a practice or a platform? Stockonomy for professionals →
A client overweight one stock? You have to document the reasoning.
When a client is concentrated in one name — vested RSUs, a business they sold, an inheritance — deciding hold-or-diversify is the diligence a fiduciary most has to defend. Stockonomy gives advisors a source-linked record on that name and every other client holding, continuous SEC monitoring across the whole book, and a deterministic engine that won't drift or hallucinate. Platforms can license the same engine as a data feed. You rent the use; the technology stays ours.
Stockonomy for professionals →A plain-English read on a whole sector — every week
Each week we run an entire sector through the same engine — financial-health screens and valuation — and email you which names look solid, which look overpriced, and which carry more risk than the reward justifies. A two-minute read. No account needed. Unsubscribe anytime.
Informational only · not investment advice
The thesis lives or dies in a filing you'll never finish reading
Stockonomy runs the forensic work-up for you — so you know the risk you're taking and whether the price justifies it, on any name you research or hold.
Analyze a stock — freeNo credit card · Every figure traceable to the filing