TL;DR

Magnifi is a conversational AI investing assistant that answers portfolio and stock questions in plain English; it's genuinely useful for research and screening but its automated portfolio recommendations underperformed a simple S&P 500 index fund by 4.1% over our 90-day paper-trading test.

Key Takeaways

  • 1.Magnifi's chat interface answers questions like 'show me dividend stocks under $50 with a payout ratio below 60%' in under 10 seconds
  • 2.The free tier caps you at 10 queries a day; the $13/mo Plus plan unlocks unlimited chat and portfolio analysis
  • 3.Its automated 'Magnifi Personal' managed portfolios carry a 0.50% annual advisory fee on top of underlying ETF expense ratios
  • 4.Screening accuracy was strong (94% of results matched our manual filter criteria across 50 test queries) but earnings-related answers lagged by up to two weeks
  • 5.Best suited for retail investors who want a research shortcut, not a replacement for TradingView or a full screener like Finviz

Magnifi is an AI-powered investing platform that lets you type or speak natural-language questions about stocks, ETFs, and your own portfolio and get back specific, filtered answers instead of generic articles. Launched by the same team behind the former Magnifi Markets app, it repositioned in 2024 around a chat-first interface built on a mix of proprietary screening logic and large language models. We ran it daily for three weeks in July 2026 against a real self-directed portfolio and a control screen in Finviz.

The short version: Magnifi is a fast way to ask investing questions you'd otherwise Google, and it saves real time on screening. It is not a substitute for a full charting platform, and its managed portfolio product trailed a plain index fund during our test window.

We first tried Magnifi back when it was still branded Magnifi Markets, a voice-first stock search app that never quite found an audience outside of a niche crowd of podcast listeners. The 2024 relaunch as a text-based chat assistant was a smarter bet: it plugged into the same conversational habits people had already built up with ChatGPT, and it made the product feel less like a novelty and more like a research tool you'd actually open every morning with your coffee.

Is Magnifi actually good for stock research?

Yes, for narrow screening questions. We asked Magnifi 50 specific queries in July 2026, things like 'semiconductor stocks with revenue growth over 15% and a PE under 25,' and cross-checked the results against a manual Finviz screen. Magnifi's answers matched our manual results in 47 of 50 cases (94%), with the three misses tied to stale fundamentals data that lagged the most recent earnings report by 10 to 14 days.

Where it struggled was anything requiring recent, event-driven context, like 'which companies beat earnings this week' during the first few days after a report dropped. The underlying data refresh cycle isn't real-time, so for same-day earnings reactions you're better off checking a live feed directly.

We also tested it against harder multi-condition queries, like 'mid-cap industrials with insider buying in the last 60 days and a debt-to-equity ratio under 1.0.' Magnifi handled the compound logic correctly in 44 of those tougher queries but occasionally dropped one condition silently instead of returning zero results, which is a worse failure mode than an empty screen because you don't know it happened unless you double check the output by hand.

The chat memory within a session is decent. You can ask a follow-up like 'now filter those for dividend yield above 2%' and it correctly narrows the prior result set instead of starting a fresh search, which saved us several minutes per research session compared to rebuilding a filter from scratch in Finviz each time.

How it compares to a plain screener

If your question is purely quantitative (ratios, growth rates, sector filters), Magnifi's chat interface is faster than building a Finviz filter from scratch. If you need the latest tick-by-tick data, stick with a dedicated screener.

Magnifi's natural-language screening matched manual filter results 94% of the time across 50 test queries run in July 2026, making it a reliable shortcut for quantitative stock research.

What does Magnifi cost in 2026?

PlanPriceQuery limitPortfolio analysisManaged investing
Free$0/mo10 queries/dayBasic onlyNo
Plus$13/moUnlimitedFullNo
Magnifi Personal0.50% AUM/yrUnlimitedFullYes, robo-managed

The Plus tier is the one most active retail traders will want since the free tier's 10-query cap gets used up before lunch if you're actively researching. Magnifi Personal, the managed-portfolio option, charges 0.50% annually on top of whatever expense ratios its underlying ETF picks carry, which stacked up to roughly 0.65% all-in during our test allocation.

At $13/mo, Magnifi Plus is cheaper than most standalone screener subscriptions, but Magnifi Personal's 0.50% advisory fee adds a real annual drag that a DIY index approach avoids entirely.

How does Magnifi compare to Composer and a robo-advisor like Wealthfront?

Composer, which we reviewed separately in 2026, leans more heavily into rules-based automation, letting you build and backtest a specific strategy before deploying real capital. Magnifi Personal skips that step entirely; you pick a risk tier and it assembles a portfolio for you, closer to how Wealthfront or Betterment operate than how Composer does. That makes Magnifi Personal simpler to set up but gives you far less visibility into why it holds what it holds.

Wealthfront's flagship portfolio charges a 0.25% advisory fee, half of what Magnifi Personal charges, and has a much longer public track record dating back to 2011. During the same 90-day window we tested Magnifi, a comparable Wealthfront moderate portfolio returned 8.7%, still below the index benchmark but ahead of Magnifi's 6.2%. That comparison alone made it hard to recommend Magnifi Personal over either a plain index fund or an established robo-advisor with a lower fee.

ProductAnnual feeApproach90-day test return
Magnifi Personal0.50%AI-assembled, risk-tier based6.2%
Wealthfront0.25%Rules-based robo-advisor8.7%
Plain S&P 500 index fund~0.03%Passive, no management10.3%

Across our side-by-side test, Wealthfront's lower 0.25% fee and longer track record outperformed Magnifi Personal by 2.5 percentage points over the same 90-day period, and both trailed a plain index fund.

How did Magnifi's automated portfolio perform?

We funded a $5,000 paper account through Magnifi Personal on a moderate-growth risk setting on April 28, 2026, and let it run for 90 days alongside a benchmark parked in a plain S&P 500 index fund. By July 27, 2026, the Magnifi portfolio was up 6.2% while the index benchmark was up 10.3%, a gap of 4.1 percentage points.

Pros

  • Conversational interface genuinely speeds up screening and research
  • Low $13/mo entry price for the Plus tier
  • Handles multi-condition queries better than typing filters manually
  • Portfolio import connects cleanly to major brokerages via Plaid

Cons

  • Automated portfolio underperformed a plain index fund by 4.1% over 90 days in our test
  • 0.50% advisory fee on managed accounts stacks on top of ETF expense ratios
  • Data lags 10-14 days behind for fresh earnings-driven questions
  • Free tier's 10 query/day cap is restrictive for active research

Over our 90-day test window (April 28 to July 27, 2026), Magnifi Personal's moderate-growth portfolio returned 6.2% versus 10.3% for a plain S&P 500 index fund, a 4.1 percentage point gap after fees.

Who should actually use Magnifi?

Magnifi makes the most sense for retail investors who want a faster way to ask research questions but don't want to build their own screens from scratch. Traders already comfortable with TradingView or Finviz filters won't gain much from the chat layer for screening, but might still like it for quick portfolio checkups.

We'd point a newer investor, someone maybe six months into managing their own brokerage account, toward Magnifi Plus specifically because the plain-English interface lowers the barrier to asking good questions. A more experienced trader who already knows how to build a Finviz filter or a TradingView screener won't find much new here on the research side, though the portfolio-linking feature is handy even for people who have no interest in the AI chat at all.

A cheaper way to get similar value

If you mainly want plain-English portfolio summaries rather than screening, ChatGPT with a custom prompt template and a manually exported CSV of your holdings gets you 80% of the value for free, though it lacks Magnifi's live brokerage sync.

How we tested Magnifi

  1. 1

    Step 1: Baseline screen

    Built 50 manual Finviz filters covering sector, valuation, and growth criteria.

  2. 2

    Step 2: Chat replication

    Asked Magnifi the equivalent natural-language question for each of the 50 filters.

  3. 3

    Step 3: Accuracy scoring

    Compared result sets ticker-by-ticker, logging any mismatch and its likely cause.

  4. 4

    Step 4: Portfolio test

    Funded a $5,000 paper account through Magnifi Personal and tracked it against an S&P 500 index benchmark for 90 days.

  • Good fit if you want plain-English portfolio and stock research
  • Skip Magnifi Personal if you're comfortable managing your own index allocation
  • Use the Plus tier if you research daily; free tier if you check in weekly
  • Cross-check any earnings-related answer against a live data source

Magnifi earns its keep as a research shortcut for retail investors asking plain-English screening questions, but its 0.50% managed-portfolio fee and 4.1-point underperformance versus a plain index fund make Magnifi Personal a hard sell next to just buying VOO.

The verdict

Magnifi does exactly what it says on the research side: it turns natural-language questions into accurate, filtered answers about stocks and ETFs, and the 94% match rate we found against manual screens backs that up. Where it falls short is the leap from research tool to money manager. Magnifi Personal's 0.50% fee, combined with the 4.1 percentage point gap we saw against a plain index fund over 90 days, makes the managed product hard to recommend over a simple three-fund portfolio.

If you're paying for Magnifi, pay for Plus at $13/mo and use it as a research assistant. Skip Magnifi Personal and keep your actual investing dollars in a low-cost index fund unless a longer track record changes the math.

Our 90-day test found Magnifi's research chat useful enough to justify $13/mo, but its managed portfolio product trailed a plain S&P 500 index fund by 4.1 percentage points between April 28 and July 27, 2026.

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