Frontier Screener · v1

Signal over noise.

A quality filter for the sectors you care about — AI, energy, space and agritech. It grades each company on how good the business is and whether the price is sane, then flags the traps. It does the reading so you can make the call.

UNIVERSE SECTORS 4 LAST RUN DATA SAMPLE
This is a research filter, not a crystal ball. It improves the quality of what you look at — it does not predict returns, guarantee gains, or tell you what will double. Figures below are sample data for the demo. Nothing here is financial advice.
Focus
How this works — in plain English

The idea: buying a stock is like buying a share of a lemonade stand. Before you hand over money you ask two things — is it a good stand? (a growing, well-run business) and am I overpaying? (is the price already assuming greatness). This tool asks both for you, on every company in your sectors.

The catch nobody escapes: the price already reflects everyone's expectations. You don't make money because a company grows — you make money when it grows more than the price already assumes. No screen can see that gap in advance, so this tool doesn't pretend to. What it can do is strip out the obviously weak and obviously overpriced, and wave a flag at the classic traps — illiquid microcaps, cash-burners, parabolic runs, heavy dilution.

What you get: each name gets a Quality read (the business), a Value read (the price), and a list of risk flags. Tap any card to see the full breakdown with a plain reason for every score. The job is to take you from 500 names to a handful worth an hour of real homework — the judgement, and the money, stay yours.

What the evidence says this can (and can't) do: every rule here is grounded in published research — profitability on assets (Novy-Marx), heavy share issuance (Fama–French), cash-runway hazard, distress avoidance, and lottery-spike froth. Historically, screens like this shift the odds by cutting the catastrophic losers — the cash-burning serial diluters and distressed shells — which is worth roughly a 5–15 point improvement in the share of names that go on to perform decently. What no screen can do: pick the rare mega-winners that drive index returns, or see expectations the price hasn't already priced in. Most individual stocks still lose to the index even after filtering — that's why the satellite-sleeve framing below matters.

Pass — looks healthy Caution — keep an eye on it Flag — a real worry

Honest framing. Thresholds here are rules of thumb that vary by industry — a fertilizer producer or a hardware maker will never look like a software company, so weigh the flags, don't just count them. A great business at a rich price is still a poor entry; a cheap price never fixes a weak business. The structure that keeps a wrong call cheap: a small satellite sleeve (~5–10% of your portfolio) for picking, with the rest in a low-cost index core.

Data. Without a backend this page shows illustrative sample companies (fictional names). When the daily Cloudflare pipeline is connected, the dashboard reads real tickers from /api/picks (with ./data.json as an offline fallback) — refreshed once a day, not real-time.

Not investment advice. For research and education only. Do your own due diligence.