Ruma
Launch App
CFGI alternative

The CFGI alternative with social-first per-coin Fear & Greed

Ruma is a CFGI alternative that gives you a per-coin Fear & Greed Index the way CFGI does — a 0-100 score for individual tokens — but derives it from a social-first, LLM reading of the crypto conversation across X, Reddit, YouTube and news, and extends that coverage to 100,000+ tokens. Each score sits inside a full mindshare and narrative suite, with free public tools and a developer API.

Per-coin Fear & Greed · LLM sentiment · mindshare · narratives

Why switch

CFGI builds Fear & Greed from a market-data composite. Ruma reads what the crowd is actually saying — with large language models, across 100,000+ tokens — and shows you the mindshare and narratives moving each coin.

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Ruma vs CFGI

Feature-by-feature comparison

An honest side-by-side. CFGI leads on sub-daily timeframes and stock-market coverage; Ruma leads on social-first methodology, token breadth, and the mindshare and narrative context around each Fear & Greed score.

CapabilityRumaCFGIWhat it means
Per-coin Fear & Greed IndexYesYesBoth give a 0-100 Fear & Greed score for individual coins rather than one market-wide gauge.
Token coverage breadthYesLimitedCFGI covers 100+ major assets; Ruma computes sentiment across 100,000+ tokens, including long-tail and newly launched coins.
Sub-daily timeframes (15m / 1h / 4h)NoYesCFGI genuinely wins here — it publishes intraday Fear & Greed on 15m, 1h and 4h intervals for scalping and short-term timing.
Stock-market sentiment coverageNoYesCFGI also scores equities and indices. Ruma is crypto-only and does not cover stocks.
Social-first LLM methodologyYesLimitedRuma reads every relevant post with large language models to score how bullish or bearish the crowd actually is, not just a technical/derivatives composite.
15-emotion sentiment modelYesNoRuma separates fear, greed, euphoria, doubt and more across 15 emotions — richer than a single index number.
Mindshare / share of attentionYesNoRuma ranks which tokens own the crypto conversation, giving Fear & Greed surrounding context CFGI does not provide.
Narrative / attention-cluster trackingYesNoRuma groups attention into tracked narratives so you can see which themes are heating up around a coin.
Smart-money & top-caller signalsYesNoRuma surfaces the accounts and callers whose posts move attention before the wider market reacts (a social signal, not on-chain wallet flow).
Free public tool pages, no loginYesLimitedRuma publishes live Fear & Greed, mindshare and sentiment as free public pages you can read without an account.
Developer APIYesYesBoth expose their data to trading systems and agents via API.
Context

What CFGI does well

CFGI is the closest competitor on per-coin granularity, and it genuinely beats Ruma in two places. A good alternative is honest about that.

Sub-daily timeframe granularity

CFGI publishes Fear & Greed on 15-minute, 1-hour and 4-hour intervals alongside the daily reading. If you scalp or trade short-term reversals and need intraday sentiment that refreshes within the hour, that depth is CFGI's real strength — Ruma's social index is built for the daily horizon, not the 15-minute one.

Stock-market coverage

CFGI extends the same Fear & Greed methodology to equities and indices, so you can read crypto and traditional markets from one dashboard. Ruma is crypto-only by design and does not score stocks — if you need both asset classes in one place, CFGI covers that job and Ruma does not.

Curated major-asset focus

For the roughly 100 large-cap assets CFGI tracks, its multi-timeframe composite is a clean, focused reference. If your universe is only the majors and you want intraday precision on them, CFGI's narrower, deeper approach is a reasonable fit.

The difference

Where Ruma goes deeper

Ruma approaches per-coin Fear & Greed from the opposite direction: it reads the conversation with large language models, then wraps each score in the wider attention picture around a token.

Fear & Greed for 100,000+ tokens

Where CFGI curates around 100 assets, Ruma computes a Fear & Greed Index across 100,000+ tokens — including long-tail and freshly launched coins that never reach a curated major-asset list. Drill into any one on the token sentiment page.

A social-first, LLM methodology

Instead of a market-data composite, Ruma reads every relevant post with large language models and scores it across a 15-emotion model — so the index reflects how bullish or bearish the crowd truly is. See the live read on Market Sentiment and bullish vs bearish.

Mindshare & narrative context

A Fear & Greed number is more useful with context. The Mindshare Leaderboard shows which tokens own the conversation, and narrative clusters reveal which themes are heating up around a coin — context CFGI's standalone index does not provide.

Smart-money signals & an open API

Ruma surfaces the top callers and influencers whose posts move attention first (a social signal, not on-chain wallet flow). The same intelligence — including per-token Fear & Greed — is available through the Ruma API for trading systems and agents.

Choose CFGI if…

You trade on intraday timeframes and need Fear & Greed on 15-minute, 1-hour or 4-hour intervals, or you want sentiment for stocks and indices alongside crypto, and a curated set of major assets is enough coverage for your workflow.

Choose Ruma if…

You want a social-first Fear & Greed read across 100,000+ tokens, emotion-level sentiment, mindshare and narrative context, smart-money caller signals, free public indexes and a clean API — for trading, research, or building agents. Read the best crypto sentiment tools guide, or see how mindshare and sentiment differ. For seasonal context, the Altcoin Season Index and the crypto glossary round out the picture. Pricing lives at app.ruma.fun/pricing.

FAQ

CFGI alternative — FAQ

What is the best CFGI alternative?

Ruma is the closest CFGI alternative if what you value is per-coin Fear & Greed. It scores a 0-100 index for individual tokens like CFGI does, but derives that score from a social-first LLM reading of crypto posts across X, Reddit, YouTube and news, and extends coverage to 100,000+ tokens instead of ~100 major assets. It also wraps each score in mindshare and narrative context CFGI does not offer. If your priority is intraday timeframes or stock-market sentiment, CFGI is still the better fit.

Is there a free CFGI alternative for per-coin Fear & Greed?

Yes. Ruma publishes a live Crypto Fear & Greed Index and per-token sentiment as free public pages you can use without an account. Paid plans unlock the full app, deeper history and API access — see app.ruma.fun/pricing for current tiers. Ruma never quotes a price on this page because plans change; check the pricing page for the live numbers.

How is Ruma different from CFGI?

CFGI builds its per-coin Fear & Greed from a market-data composite and adds sub-daily timeframes plus stock-market coverage. Ruma is social-first: it reads the actual crypto conversation with large language models, scores it across a 15-emotion model, and computes Fear & Greed for over 100,000 tokens. Ruma then places each coin inside a broader suite — a mindshare leaderboard, narrative clusters, smart-money caller signals and an influencer leaderboard — so you see not just the number but why sentiment is shifting.

When should I pick CFGI over Ruma?

Pick CFGI if you trade on intraday timeframes and need Fear & Greed refreshed on 15-minute, 1-hour or 4-hour intervals, or if you need sentiment for stocks and indices as well as crypto. Those are genuine CFGI strengths that Ruma does not match — Ruma is crypto-only and built around a social-signal methodology rather than sub-daily market composites. For long-tail token coverage and social context, choose Ruma.

Does Ruma cover more coins than CFGI?

Yes, substantially. CFGI focuses on around 100 established crypto assets. Ruma computes sentiment and a Fear & Greed reading across 100,000+ tokens, including small-cap and newly launched coins that never appear on a curated major-asset list. That breadth is useful if you research early-stage or long-tail tokens where a social-first signal is often the only sentiment data available.

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