A Finviz alternative for the social layer of stock research

Nebula is not a like-for-like replacement for the Finviz screener. It is a Finviz alternative for a narrower job: discovering which stocks are gaining public attention, measuring whether that conversation is bullish or bearish, and investigating the narratives behind the move. Finviz leads on screening, fundamentals, technical filters, charts, maps, and market snapshots. Nebula adds structured social context.

Stocks · social sentiment · attention · research

Use Finviz to reduce the listed market with fundamental and technical criteria. Use Nebula to reduce the public conversation with attention and sentiment criteria. The two products are complements for many researchers: one explains what is moving in market data, while the other helps explain what the crowd is discussing and how that interpretation is changing.

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Nebula vs Finviz

A capability-level comparison based on the products' public pages and documentation. Plan limits and product features can change, so confirm details before buying.

Capability	Nebula	Finviz	What it means
Fundamental stock screener	No	Yes	Finviz offers extensive valuation, growth, ownership, analyst, and company filters. Nebula does not aim to replace that workflow.
Technical stock screener	No	Yes	Finviz filters price performance, volatility, moving averages, patterns, volume, and other technical conditions.
Stock charts and market maps	Limited	Yes	Finviz is the stronger visual market-data surface. Nebula uses price context to interpret social signals rather than as a full charting suite.
Ticker-level social sentiment	Yes	Limited	Nebula makes structured public conversation a primary signal; Finviz centres market, fundamental, technical, and news data.
Stock mindshare and attention change	Yes	Limited	Nebula ranks stocks by share of tracked equity conversation and how that share is changing.
Bullish and bearish stock rankings	Yes	Limited	Nebula ranks the tone of active stock conversations; Finviz offers market signals and rankings based mainly on market data.
News discovery	Yes	Yes	Both help surface news context, but Finviz aggregates market news while Nebula structures how information is discussed.
Source-level narrative analysis	Yes	No	Nebula is built to connect a change in aggregate attention with the claims and source groups behind it.
Free public research surface	Yes	Yes	Both provide useful public pages, with paid access extending deeper workflows.
API and agent-ready intelligence	Yes	Limited	Nebula exposes its intelligence for programmatic and agent workflows; confirm current Finviz export and data access for your plan.

What Finviz does well

Fast fundamental and technical screening

Finviz is built to search a large equity universe using combinations of descriptive, fundamental, and technical filters. Its official screener documentation covers exchange, sector, market capitalisation, valuation ratios, growth, ownership, analyst recommendations, earnings dates, performance, volatility, volume, moving averages, patterns, and many other criteria. Saved presets make repeated screens efficient.

That breadth makes Finviz a strong first pass for questions such as which profitable mid-cap software companies are near a 52-week high, which stocks report earnings this week, or which names have unusual volume. Nebula does not reproduce those filters and should not claim to. A social signal cannot substitute for financial statements or market structure.

Charts, maps, and a compact market snapshot

Finviz compresses a great deal of market information into tables, charts, maps, groups, portfolios, and news views. Its heatmaps are useful for seeing sector and index breadth, while ticker pages bring price action, company data, analyst changes, news, and technical context into one established interface.

The product is especially effective when the research process begins with measurable market conditions. A screen can identify an unusual candidate, the chart can locate the move in time, and the news list can show reported catalysts. Finviz is the clear choice when those are the core requirements.

Where Nebula is different

Screening the conversation instead of the price table

Nebula begins with a different universe: public financial attention. Its stock mindshare leaderboard ranks the companies capturing the largest share of tracked equity conversation and shows whether that share is rising or falling. The bullish and bearish ranking separates tone from volume, and the ticker tool provides company-specific sentiment and Fear and Greed context.

This can reveal research candidates that a traditional screen does not express cleanly. A company may attract a sudden wave of discussion before the scale of the event is obvious in daily filters. Another may show deteriorating sentiment even while price remains strong. Those observations are not predictions; they are prompts to inspect the catalyst, sources, and expectations.

From headline to contested claim

A news list tells you what was published. Social intelligence helps show which part of the information participants are emphasising, whether interpretation is converging, and which claims are being repeated. Nebula structures conversation into company entities, attention, sentiment, emotional tone, and narratives so a researcher can move from a broad signal toward the actual evidence.

That layer is useful after earnings and fast-moving corporate events. The market may agree on the headline but disagree about guidance quality, backlog conversion, margins, regulation, or valuation. Mapping that disagreement helps a researcher decide which filing section, transcript answer, or external record deserves attention.

How the research workflow changes

Start with Finviz, then investigate social context

Run a Finviz screen around the market condition you care about: unusual volume, earnings, a sector, a valuation range, or a technical regime. Move the resulting watchlist into a social research pass. In Nebula, compare each ticker’s mindshare, change in attention, sentiment, and price context. Prioritise names where the social reading adds a genuinely new question.

For example, unusual volume plus rapidly rising negative attention may indicate a risk event that needs immediate verification. A breakout with flat attention may be driven more by positioning or institutional flow than public narrative. A high-mindshare stock with mixed tone may offer a richer research problem than the loudest bullish name.

Start with Nebula, then test the market facts

The workflow also runs in reverse. Use the stock mindshare page to discover a new attention spike, then use Finviz to examine performance, relative volume, earnings timing, sector context, ownership, valuation, and the company chart. Open the underlying news and primary disclosures to determine what actually changed.

Write down the sequence. Did the conversation move before the price, after it, or in response to a published event? Was the source independent or repeated? Does the company filing support the claim? Which expectation is already reflected in valuation? The combination is strongest when each tool retains its own role rather than when one score is stretched into a complete thesis.

Which should you choose?

Choose Finviz if you primarily need an equity screener, stock charts, heatmaps, fundamental and technical filters, portfolio views, or a compact market-data and news interface. It is a mature, efficient surface for narrowing companies by measurable market and company characteristics.

Choose Nebula if you primarily need social stock intelligence: which companies are gaining attention, whether discussion is constructive or fearful, how a ticker compares with the market, and which narratives or source groups explain the change. It is the closer fit for researchers and agents that need structured conversation through both public pages and an API.

For a complete workflow, use both categories. Screen the financial universe, screen the attention universe, and then verify every material claim in company filings, investor-relations materials, and other primary sources. Neither a technical pattern nor a sentiment score is a complete investment decision.

Official sources reviewed

Finviz screener documentation · Finviz product updates · SEC EDGAR search · Nebula stock mindshare

Read the social layer behind the stock.

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Frequently asked questions

Is Nebula a full replacement for Finviz?

No. Finviz is much stronger for fundamental and technical screening, charts, and heatmaps. Nebula is an alternative for the social-research layer: stock attention, sentiment, narratives, and source context.

Can I use Finviz and Nebula together?

Yes. Finviz can create a market-data watchlist, while Nebula can rank the social attention and tone around those names. The workflow also works in reverse: discover a social attention spike, then test it with Finviz market data and primary sources.

What free stock tools does Nebula offer?

Nebula publishes public tools for ticker-level stock sentiment, stock mindshare, and bullish and bearish stock rankings.

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Which product is better for stock news?

Finviz is a strong compact news and market-data surface. Nebula is useful for understanding how reported information is being discussed and which interpretations are gaining attention. Primary company and regulatory sources should remain the final reference.

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