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    Scanr vs. Deepvue: which stock scanner is right for you?

    A head-to-head comparison of Scanr.ai and Deepvue across data coverage, scan flexibility, charting, pricing, and workflow ergonomics.

    12 min read

    Scanr.ai and Deepvue both land on the shortlist when you go looking for a modern stock scanner. From the outside they overlap: real-time scans, charting, watchlists. Spend a week inside each and the workflows pull apart.

    We build Scanr, so read this with that in mind. We've tried to be fair. Deepvue is a good product, and there are traders it suits better than we do. If something here is wrong, email us and we'll fix it.

    TL;DR

    • Scanr.ai builds scans out of composable, deeply configurable filters. Stack study modifiers (slope, correlation, crossovers) on any indicator, mix in fundamentals, generate scans from plain-English prompts, and let a background system re-scan your saved scans so you can see which ones pay. Suits traders who want to express a precise idea as a filter, then find out whether the idea works.
    • Deepvue is the more mature platform, with an established community and a deep catalog of ready-made presets (CANSLIM, Minervini, Kell and Weinstein screens among them). Results update live, and there's a native mobile app. Suits traders, CANSLIM and O'Neil people above all, who want a proven tool that works out of the box.

    Want the deepest filter logic, AI-assisted scan building, an API and MCP server, and feedback on which of your scans pay? Try Scanr. Want a battle-tested platform with a large community and a big library of established presets? Deepvue is a strong pick.

    Feature comparison

    FeatureScanr.aiDeepvue
    Real-time data
    US equities streaming during market hours
    Pre/post-market scans
    Scan speed
    Deepvue updates instantly; Scanr returns results in seconds
    Near-instantInstant
    Native mobile app
    Scanr's iOS app is live on the App Store (Android next)
    Technical study modifiers
    Apply slope, correlation, crossovers & divergences to any indicator (RSI, SMA, MACD…)
    Fundamentals in scans
    Combine technicals + financials in a single filter
    AI scan generation
    Scanr: describe a setup in plain English, get a runnable scan today. Deepvue: AI research built in, plain-language screeners in development
    Automated scan-performance tracking
    Background re-scans surface which of your saved scans pay
    Chart patterns & supply/demand zones
    Relative strength scanning
    Insider (Form 4) & short-interest scanning
    Level 2 / order-book signals in scans
    Scanr scans order-book microstructure via feature windows
    Saved presets & sharing
    Established preset library & community
    Large catalog of ready-made screens, mature user base
    Public API
    REST + auth keys for programmatic access
    MCP server
    Scan from Claude, Cursor, or any MCP client
    Backtesting / scan replay
    Heatmaps & sector maps
    Free tier
    Deepvue is paid-only (trial available)
    Starting paid plan
    $39.99/mo$49/mo

    How the scanners compare

    1. Scan flexibility and filter depth

    Both products ship dozens of built-in scans. What matters is what happens the day you want something the built-ins don't cover.

    In Scanr, every preset is a typed filter payload you can edit, fork, and combine. Mix a technical condition ("price closing above the 50-day EMA for 3 sessions") with a fundamental one ("free cash flow yield > 5% and net debt/EBITDA < 2") in the same scan. The scanner runs server-side and refines incrementally, so you can narrow a 7,000-symbol universe to 20 names without a page reload.

    The wider gap is modifier depth. Most scanners filter on an indicator's value. Scanr filters on how the indicator is behaving: put a slope on RSI to catch momentum that's picking up, correlate a stock's SMA against its sector, or layer crossovers and divergences onto any study. So instead of "RSI(70)" you can save "14-day RSI sloping up while price diverges from the 50-day SMA" as one reusable filter, and the same composition carries across chart patterns, supply/demand zones, relative strength, insider (Form 4) activity and short interest.

    Deepvue screens momentum and price action well, and its built-in screens are tuned by people who trade them. Combining heavy fundamentals with technicals, or stacking slope and correlation on an arbitrary study, is where it stops short. You can filter on some financial fields, but composable filter logic isn't what the product is built around.

    2. Knowing which scans work

    Most scanners end at the list of matches. Scanr's scan-performance system re-runs your saved scans in the background and tracks what the symbols they surface do next, so each scan accumulates a win rate, edge analytics, and a per-ticker breakdown.

    That turns a hunch into a number. The scan you'd have named your best idea may be trailing a throwaway you forgot you saved, and you find that out without re-running anything.

    We're not aware of a comparable feedback loop in Deepvue. If you've ever wanted to know which of your scans is making money, that's the gap.

    3. AI scan generation

    Describe a setup to Scanr in plain English and you get back a scan you can run. "Small-caps breaking out of a multi-week base on rising relative strength with insider buying in the last quarter" comes back as an editable filter payload, ready to fork and refine instead of hand-built condition by condition. It's on the free tier too, with daily limits.

    Deepvue ships AI as well, pointed at research: summarizing what a company does, or its industry context, rather than producing a scan. Plain-language screeners sit on its roadmap. If you want to build scans by talking to something today, Scanr does that; if you want AI to explain the names you've already surfaced, Deepvue covers it.

    4. Charts

    Deepvue has put serious money into charting. It shipped its own proprietary charting system, and it's good: fast re-draws, hot-key driven, customizable down to indicators, colors, fundamental views and dashboards. If a rich do-everything chart sits at the center of your workflow, Deepvue's beats ours.

    We took a narrower position. A scanner's job is to surface the right names, so that's where our engineering goes. Scanr's charts cover multi-timeframe analysis, indicator stacking, and fundamental events (earnings beats, guidance changes, insider activity) annotated on the time axis: enough to make a decision without drowning in it. Infinitely configurable charts are also highly subjective, and past some point they add noise. We'd rather keep the chart out of your way and spend the effort on the hard part, which is the scan.

    If your day revolves around a chart, Deepvue will feel more powerful. If you find setups fast and glance at a chart to confirm them, ours is sized for that.

    5. Maturity, presets and community

    Deepvue is the more mature product. It has been around longer, and it advertises 5,000+ active traders and a 4.8★ rating across 200+ reviews. That shows up in the polish and in the size of the preset catalog.

    It has also become a home for CANSLIM and O'Neil-style traders, and one of the stronger modern alternatives to MarketSmith/MarketSurge. It ships screener libraries for named methodologies (CANSLIM, Minervini, Oliver Kell, Weinstein), IBD-style rating systems across multiple timeframes, and Non-GAAP fundamentals, the EPS definition O'Neil used. Trade that framework and you can drop in and run proven screens on day one, from your phone if you want.

    Scanr is younger. Our preset library and community are growing, and they aren't as established as Deepvue's today; we won't pretend otherwise. Our iOS app is live on the App Store, with Android on the way. Our effort goes into filter depth and into giving you the tools to validate your own edge instead of leaning on shared presets.

    6. Pricing

    Deepvue's standard tier starts around $49/mo and the advanced tiers climb from there. It's paid-only: there's a trial, but no permanent free plan. Scanr's paid plans start at $39.99/mo, and the free tier is a real one, with real-time scans, a decent allowance of saved presets, and daily AI-generated scans.

    Both of us move prices. Check Scanr pricing for today's numbers and compare directly.

    7. API and automation

    Here Scanr does something Deepvue doesn't: a public API and an MCP server. Any scan you can build in the UI also runs from your own code, or from inside an AI client like Claude or Cursor. A daily cron job that pings you when a setup fires across the Russell 2000 is a few lines against the Scanr API.

    For traders who build their own dashboards or LLM-driven research, this tends to settle the decision. Rate limits, tiers, and the full list of MCP tools are on the Scanr API pricing page.

    8. Who each one is for

    Pick Deepvue if:

    • You want a mature, proven platform with a large, active community.
    • You trade CANSLIM / O'Neil style and want a modern MarketSmith alternative with ready-made Minervini, Kell, and Weinstein screens.
    • Instant, live-updating results and a native mobile app matter to you.
    • You want a big library of established presets to start from on day one.

    Pick Scanr if:

    • You want the deepest, most flexible filter logic: slope, correlation, crossovers and divergences stacked on any indicator.
    • You want to combine technicals, fundamentals, chart patterns, supply/demand zones, relative strength, insider and short-interest data in a single scan.
    • You want to generate scans from plain-English prompts.
    • You want a system that tells you which of your saved scans pay.
    • You want an API or MCP integration so your scans show up in your own tools, scripts, or AI clients.
    • You want a useful free tier and paid plans from $39.99/mo.

    Final word

    Neither tool wins outright, because they're built for different jobs. Tell us what your workflow looks like and we'll tell you whether Scanr fits it. If it doesn't, we'll point you somewhere else.

    You can run your first scan without a credit card.