Free · No signup · Live data

Find high-conviction crypto
opportunities in 60 seconds.

Score any token on Quality, Opportunity and Risk from ten live data sources, and see exactly how much real data sits behind every number.

Whether you are a seasoned crypto analyst or researching your first project, Signal Screener helps you find tokens with real value and avoid the noise.

Track your portfolio. Research a new coin. Compare opportunities. One tool for all of it.
See how scores are calculated →
Try it. Click a ticker.
Hyperliquid
HYPE · L1 / Infra
8.4
Strong signal
✓ Strong developer growth
✓ Growing ecosystem adoption
✓ Real fee revenue and buybacks
⚠ Moderate VC concentration
⚠ Large FDV gap
Verdict: Strong speculative opportunity with above-average fundamentals.

Illustrative examples. Analyze any project live in the screener.

5
Core score metrics
8
Red flag checks
⟳
Live crypto assets
0
Tickers screened here
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Features

Everything a serious screener needs

Built for traders who treat crypto like an asset class, not a casino. The signals that separate real projects from the noise, and survivors from exit liquidity.

Weighted Scoring

Grade tokens across 5 dimensions with weights you control. Adoption, dev activity, tokenomics, narrative, survivability. Tune it to your thesis, not ours.

Honest Coverage

Missing data is excluded, never guessed. Every score shows the percentage of real data behind it, so you know when a high number means something.

Red Flag Radar

8 automated checks catch what hype hides. Stealth unlocks, insider-heavy supply, FDV traps, fake revenue. Every flag drags the score down.

Score History

Every scoring run is saved, so you see whether a project is improving or decaying over 7, 30 and 90 days, not just where it stands today.

How it works

From ticker to conviction in three steps

No spreadsheets. No 40 browser tabs. Screen any token the way a fund analyst would.

1

Drop in a ticker

Type any symbol, or paste a whole watchlist at once. HYPE, SOL, a memecoin you saw on CT at 3am. Whatever you are weighing up.

2

Pull live data and AI research

One click fetches live market cap, FDV, supply, and volume, then AI research scores adoption, tokenomics, dev activity, and hunts for red flags across the web.

3

Read the verdict

Get a single composite score, a plain-English summary, every red flag surfaced, and a risk-adjusted size. DYOR, backed by data instead of hopium.

Where these scores come from

No black box. Every score is built from public, checkable data, and each candidate shows its full breakdown so you can audit the reasoning.

Market data

Live market cap, FDV, supply, and volume from CoinGecko, with automatic fallback to CoinPaprika, CryptoCompare, and Binance if a source is rate-limited or down.

On-chain metrics

Total value locked and protocol activity sourced from DefiLlama.

Developer activity

Repository health, contributor counts, and commit trends from public sources.

Tokenomics and public filings

Unlock schedules, allocations, and holder concentration from project documentation.

Not financial advice. Signal Screener is a research framework, not a recommendation engine. Scores are a structured way to compare projects, not predictions of price. AI research can be incomplete or out of date. Always verify before you act.

Updated daily

Signal Screener top picks

The strongest asset in each sector, with a written report behind every one. Same metrics for all of them, so the scores are comparable.

AssetSectorQualityOpportunitySince reportCoverage
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Figures update daily. Read the full reports, or .

Common questions

How the scoring works

How is the score calculated?

Quality weights adoption and liquidity at 40%, tokenomics at 35%, and scale at 25%. Every figure comes from live public APIs and is reconciled by taking the median across up to four independent sources, so one bad feed cannot move a score on its own.

What does coverage mean?

Coverage is the share of a score's inputs that resolved from real data. Where something cannot be verified it is excluded rather than estimated, and we say what was missing. A high score at low coverage is not a strong result, which is why the figure sits next to every score.

Where does the data come from?

Market data comes from CoinGecko, CoinPaprika, CryptoCompare and Binance, reconciled by median. Protocol revenue and audit records come from DefiLlama, developer activity from GitHub, and holder concentration from Ethplorer. Every source is named on the report it appears in.

Is this financial advice?

No. These are mechanical scores produced by a published framework applied to public data. They take no account of your circumstances and are not a recommendation. Crypto is volatile and you can lose everything you put in.

Why do some assets show no developer or team data?

Because no free public source publishes it reliably. Rather than guess a number, we exclude it and say so on the page. That is the whole reason coverage is shown at all.

Do I need an account or an API key?

Neither. Scoring is free and unlimited, runs entirely in your browser, and stores nothing on our servers. An API key is optional and only unlocks the AI-researched metrics that no public API publishes.

CandidateAdopt.Dev Token.Narr.Surv. FlagsScore

Research framework, not financial advice. Scores are a structured way to compare candidates, not predictions. Always verify before acting. Data saves automatically to your browser.

Pricing

Simple, transparent pricing

The screener is free and unlimited. Alerts are in beta while we test delivery.

Free
$0/month

The full screener. Every coin scored on the same metrics, so the numbers are comparable.

  • ✓ Unlimited watchlists and candidates
  • ✓ Unlimited scoring, no daily cap
  • ✓ Quality, Opportunity and Risk on three core metrics every coin has
  • ✓ Ten live data sources, with coverage shown on every score
  • ✓ BTC and ETH correlation, TVL, unlock schedules, holder concentration
  • ✓ PDF, CSV and JSON export
  • ✓ Score history over 7, 30 and 90 days, plus comparison mode and shareable scorecards
  • - Score-change alerts
  • - AI-researched metrics

Get in touch

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