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Investing & Dividends Mostly accurate, with one big caveat

This article is general information, not financial, tax, or investment advice. Income claims and platform fees change. Talk with a licensed professional before making financial decisions based on anything you read here.

Professor G’s 2026 dip-buying picks: what the sponsored tool leaves out

Verdict: Mostly accurate, with one big caveat. The stock analysis is careful and sourced β€” but the AI tool paying for the video, and the odds against retail dip-pickers, get a much softer treatment than the risks on the individual names.

A video from the channel Investing Simplified β€” Professor G, titled “This Market Dip Just Created the BEST Buying Opportunity of 2026,” argues that the 2026 pullback handed patient investors six quality companies at a discount. The host, Nolan Gouveia, names them, cites Morningstar fair values, and even tells viewers to buy in pieces and size the risky ones small. Is he right? Largely β€” the analysis is more honest than most of what circulates on YouTube. The caveat sits underneath the numbers, in the sponsored tool and the quiet assumption that you can beat the market by picking dips.

What the video actually claims

The pitch has two layers. The first is a method: Gouveia says he screens for opportunities using InvestingPro from investing.com β€” specifically its “Pro Picks AI,” which he describes as “an AI model trained on over 50 financial signals” whose strategies have “historically outperformed the S&P 500.” The video is openly sponsored by investing.com, and he points viewers to a discount link (“up to 60% off… an extra 15% on top”).

The second layer is the stock list. Six names, all down more than 25% from their highs, split into three risk tiers. Tier one is Microsoft (around $390, down ~27% from its October 2025 high) and Meta (~$583, down ~26%). Tier two is two consumer turnarounds β€” Nike (~$44, down about 73% from its 2021 peak) and Lululemon (~$118, down ~77%). Tier three is the speculative “picks and shovels” AI names, Applied Digital (APLD) and IREN, which he explicitly flags as high-risk and says he holds only in small size.

To his credit, Gouveia leans on third-party valuation rather than vibes. He says Morningstar rates Microsoft five stars with a fair value near $600 and calls it “maybe the best core stock bargain in the market today,” and that Nike carries a four-star undervalued rating. He repeats “this is not financial advice” and warns that APLD “burned around $720 million of cash in a single quarter” with “69% of its contracted revenue tied to one customer.” That’s a level of risk disclosure you don’t often see in a thumbnail with a siren emoji.

What the method actually requires

The valuation claims mostly check out. Morningstar does assign Microsoft a 5-star rating against a fair value estimate of $600 per share, and did describe it in bullish terms heading into earnings (Morningstar). Nike sits well below Morningstar’s fair value estimate too β€” the firm has flagged it as very undervalued while noting it may trim that estimate, and at points in 2026 the stock traded 40%-plus under fair value (Morningstar). So the video isn’t inventing the “undervalued” label.

Here’s the caveat the video underplays. “Fair value” is an analyst’s estimate, not a floor. Nike is the proof: it fell roughly 73% from its peak, and for years the market kept being “wrong” about a company Morningstar kept calling cheap. A stock can be undervalued and still fall further, for longer, than you can wait.

Then there’s the sponsor. Claims that an AI stock-picking model has “outperformed the S&P 500” are precisely the category regulators scrutinize. In the U.S., the SEC’s Marketing Rule (17 CFR Β§ 275.206(4)-1) defines “hypothetical performance” to include model and backtested results, and requires advisers to disclose the assumptions and limitations behind them (SEC). In September 2023 the SEC charged nine advisers in a sweep over exactly this kind of performance marketing. A YouTube sponsorship isn’t governed by that rule, but the caution behind it applies to you as a viewer: a strategy’s historical or modeled return tells you almost nothing about what you’ll earn buying it today.

On price, InvestingPro is a real, long-running product β€” investing.com has operated for close to two decades and lists monthly billing around $17.95, dropping to roughly $9-$10/month on annual plans during its recurring sales. That’s not a scam. But note the money flow: the “extra 15% off” link is an affiliate arrangement. The tool is being recommended by someone paid when you subscribe.

Is buying individual dips actually a winning game?

For most people, no β€” and this is the assumption the whole video rests on. Picking individual undervalued stocks and timing your entry into a dip is a form of active management, and the long-run scoreboard on active management is brutal. S&P’s SPIVA data found that 79% of active large-cap U.S. equity funds underperformed the S&P 500 in 2025, and over the 15-year window ending December 2024, no U.S. equity fund category had a majority of managers beat their benchmark. Those are full-time professionals with Bloomberg terminals losing to a plain index fund.

Timing the dip is harder still. Research popularized around dollar-cost averaging shows that “buy the dip” underperforms steady, scheduled investing more than 70% of the time β€” even in a scenario where you somehow know exactly when the bottom will hit. Investopedia’s own primer on the approach makes the same structural point: dollar-cost averaging works because it removes the timing decision you’re statistically likely to get wrong (Investopedia). Gouveia actually endorses DCA in his “rule two” β€” buy in pieces, not all at once. That’s the most valuable sentence in the video, and it slightly undercuts the “BEST buying opportunity of 2026” urgency of the title.

Who actually wins this game

The people who win with concentrated dip-buying tend to share a few traits: a multi-year time horizon they can genuinely hold through a further 30% drawdown, enough capital that a single position blowing up won’t derail them, and the temperament to do nothing while a “cheap” stock gets cheaper. Gouveia himself fits a fourth category β€” a creator whose returns come substantially from an audience and a sponsorship, not only from the portfolio. That’s not a knock; it’s context. His downside is a bad video. Yours is real money in APLD if that one customer walks.

The names most likely to reward buyers here are the tier-one compounders (Microsoft, Meta), for the boring reason that their businesses are still growing 30%-40% in the relevant segments. The speculative tier is where retail investors typically get hurt, because the upside story (“double from here”) is easier to feel than the balance sheet.

What you’d realistically earn

There’s no honest single number, and the video doesn’t promise one β€” a point in its favor. If Morningstar’s fair values are right and the market eventually agrees, Microsoft from $390 toward $600 is roughly a 54% gain, but Morningstar frames that as a multi-year thesis, not a 2026 trade. The turnarounds (Nike, Lululemon) could double if the turnaround works, or keep sliding if it doesn’t. And the base rate says most people attempting this will trail a low-cost S&P 500 index fund that required zero research. A realistic expectation for a beginner picking these six by hand is wide dispersion around the index β€” some outperformance, plenty of underperformance, and a real chance of a permanent loss on the tier-three names.

Who this is (and isn’t) for

This approach fits someone with a 5-plus-year horizon, an existing diversified core (an index fund doing the heavy lifting), spare capital they can afford to see cut in half, and the stomach to hold through bad news. If you’re investing money you’ll need within a couple of years, if these six would be most of your portfolio, or if you’d panic-sell APLD on a 40% drop, this isn’t for you β€” and a broad index fund with automatic monthly contributions almost certainly is.

What to remember

The stock research in this video is careful, the sourcing to Morningstar is real, and the risk warnings are better than the genre norm. Weigh two things against that: the “outperformance” of the sponsored AI tool is the kind of modeled claim regulators tell you to distrust, and beating the market by hand-picking dips is something most professionals fail at. Buy the discipline (position sizing, dollar-cost averaging). Be skeptical of the shortcut.

Sources

  • Morningstar. “After Earnings, Is Microsoft Stock a Buy, a Sell, or Fairly Valued?” 2026. https://www.morningstar.com/stocks/going-into-earnings-is-microsoft-stock-buy-sell-or-fairly-valued-7
  • U.S. Securities and Exchange Commission. “Marketing Compliance Frequently Asked Questions (Rule 206(4)-1).” 2024. https://www.sec.gov/rules-regulations/staff-guidance/division-investment-management-frequently-asked-questions/marketing-compliance-frequently-asked-questions
  • Morningstar. “Nike Inc Class B Price vs Fair Value.” 2026. https://www.morningstar.com/stocks/xnys/nke/price-fair-value
  • Investopedia. “Dollar-Cost Averaging (DCA) Explained.” 2026. https://www.investopedia.com/terms/d/dollarcostaveraging.asp

For more of our investing reality checks, see 16 stocks to buy now β€” July 2026 and Dips don’t last: 8 stocks I’m buying.

About the source video
  • Video: 🚨This Market Dip Just Created the BEST Buying Opportunity of 2026 (Here’s the Data)
  • Channel: Investing Simplified - Professor G
  • Views at review: 77,919
  • Watch on YouTube: https://youtube.com/watch?v=iAd_mcZcQyA
  • Views and figures were accurate at the time of review and may have changed since publication.