No service below pays us, links are not affiliate, and our own free board is included with its limitations stated. Free tools change their tiers frequently; descriptions reflect mid-2026 and describe categories more than version-specific features. Nothing here is investment advice. Decisions are yours.
The direct answer: for most people, the best free crypto screening stack is an aggregator for breadth, a charting platform's screener for technical filters, and one honest measurement layer for regime context, and the free tiers of those three categories cover ninety percent of what paid dashboards sell. Here is the map, category by category, with the catches stated.
What a screener can and cannot do
Calibrate expectations first. A screener FILTERS the present: it answers "which assets currently satisfy these conditions," momentum above X, volume above Y, distance from a high below Z. It does not answer "which assets will go up," and any screener marketing that blurs the two is selling a forecast in a filter's costume, the pattern dissected in measurement vs advice. Used honestly, a screener compresses your search space so your own process has fewer, better candidates to judge. That is the whole product, and free tools do it well.
The categories, compared
| Category | Best for | Free-tier catch |
|---|---|---|
| Market aggregators (CoinGecko / CoinMarketCap class) | Breadth: thousands of assets, caps, volumes, categories | Coarse filters; volume quality varies by venue |
| Charting screeners (TradingView class) | Technical filters: MAs, RSI, performance windows | Alert and layout limits push toward paid tiers |
| Exchange screeners (built into major venues) | Tradability: live spreads, books, your actual universe | One venue's listings only; promotion-tinted sorting |
| On-chain analytics free tiers (Glassnode class) | Context metrics: flows, activity, valuation ratios | Best metrics and freshness sit behind paywalls |
| Measurement boards (ours) | Fixed published formulas + regime state, attested | Top-100 only; daily formulas; no predictions |
Aggregators: the census takers
The CoinGecko and CoinMarketCap class of site is the census of the asset class: essentially every token, its market cap, volume, supply schedule, and category, free. Use them for breadth questions, what exists in a sector, how big something is, whether volume is real across venues, and for the long-tail lookups nothing else covers. Two catches. Their volume figures aggregate venues of very mixed honesty, so treat volume ranks as claims rather than facts, a theme we expand in the wash-trading methodology work. And their trending and social lists measure attention, which in crypto is frequently manufactured; attention lists are where pump flows go to find you, per the Telegram assessment.
Charting screeners: the technical filter
The TradingView class of platform offers the strongest free technical screening: filter a large crypto universe by moving average relationships, RSI bands, performance over windows, volume changes, and combine conditions into saved screens. If your process is technical, this is the workhorse, and the free tier genuinely suffices for daily-timeframe work. The catches are commercial rather than dishonest: alerts, multiple layouts, and finer data sit behind subscriptions, and screener presets shared socially tend to encode someone else's untested opinions. Build your own filters from definitions you understand; the definitions in our monitor methodology are free to steal, which is why they are published.
Exchange screeners: the tradability check
Every major venue ships market-browsing tools: gainers, volume leaders, new listings, sometimes basic technical sorts. Their unique value is that they show YOUR tradable universe with live books and spreads, the ground truth that aggregator pages approximate. Their weakness is scope and incentive: one venue's listings, sorted by machinery that also serves the venue's promotional calendar. Use them as the final tradability check on candidates found elsewhere, not as the discovery layer.
On-chain free tiers: context, rationed
The Glassnode and CryptoQuant class of platform publishes real, recomputable network data, active addresses, exchange flows, holder cohorts, and their free tiers expose enough to add context a price screener cannot: whether an uptrend is accompanied by accumulation or exchange inflows, roughly how cyclical valuation ratios sit. The honest catch is rationing: resolution, history, and the best metrics are paid, and free charts often lag. Treat the free tier as a context check on shortlisted names rather than a screening layer, and treat every on-chain metric as descriptive, not predictive; the literature on their forecasting power is far more modest than the marketing.
Our board, with its own catches stated
This site's Momentum Monitor is a free measurement board: top 100 liquid assets, six published formulas, momentum, trend state, volatility, distance from high, liquidity, plus the Regime Dial for market state, every day, attested. Its honest limits, stated with the same directness we apply to everyone else: it covers only the liquid top-100, it computes daily formulas rather than intraday, it predicts nothing by design, and its young attested history is a feature still compounding, treated in the attestation explainer. What it adds over the categories above is exactly one thing: fixed, published, tamper-evident formulas, so the number you see today is computed identically tomorrow and provably was.
An honest free workflow
Assembled: check the regime first, one glance at the dial or any BTC trend framework, because candidate quality means little in a deteriorating tape, covered in the dial methodology. Discover on breadth tools or a technical screener with filters you wrote yourself. Context-check shortlisted names against an aggregator profile and, if relevant, an on-chain free tier. Confirm tradability on your venue's own screen, spread, depth, listing status. Then apply your own process, sizing, and invalidation, the part no screener sells. Total cost: zero. The paid upgrades worth considering are data quality and alerting, not predictions; predictions are the one product where free and paid are equally unverifiable, per do signals work. Decisions are yours.