Best Momentum Stocks to Buy in 2026: Fundamentals + Price Velocity

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June 17, 2026 · BriMindInvest Research Team · 12 min read

The best momentum stocks are not just rising — they're rising because their fundamentals are accelerating. CrowdStrike, GE Vernova, and NVIDIA lead the trailing 12-month momentum screen as of August 2026, while several June 2026 picks (Meta, Constellation Energy, Palantir, Axon) have reversed sharply. Here's the complete list with multi-period return data and the investment thesis for each.

Updated August 16, 2026 — major momentum reversal since this post's June launch

This is a genuine momentum crash for several of the original picks: Meta, Constellation Energy, Palantir, and Axon have all turned negative on a trailing 12-month basis (Meta -24%, CEG -13%, PLTR -4%, AXON -18%), even though Palantir and Axon have staged sharp 3-month recoveries (+30% and +58%). CrowdStrike is now the strongest 12-month performer (+104%, up from +42%), GE Vernova remains strong (+70%, down from +95%), and NVIDIA's momentum has cooled to +24% from +48% with a negative trailing 3-month return. NVDA, META, and CEG have all fallen out of MTUM's top-25 holdings entirely — only GEV remains, at #10. SpaceX (SPCX) round-tripped from a $225 peak to a $105 trough and now sits near $140, barely above its $135 IPO price. Figures as of Aug 14, 2026 market close (stockanalysis.com, Yahoo Finance, tipranks.com).

Momentum Investing at a Glance 2026

MTUM AUM
~$26B
largest momentum ETF
Momentum Factor Premium
~4–5%/yr
historical vs market
Lookback Window
12M minus 1M
standard calculation
SPMO Expense Ratio
0.13%
Invesco S&P 500 Momentum
Momentum Crash Freq
Rare, severe
e.g. Mar 2009, Mar 2020
Factor Discovery
1993
Jegadeesh & Titman
Top vs Bottom Quintile
~15%/yr gap
S&P 500 momentum spread
QMOM Expense Ratio
0.29%
Alpha Architect quant momentum

What is momentum investing?

Momentum investing is the strategy of buying stocks that have recently outperformed and selling (or avoiding) stocks that have recently underperformed. The core insight: stocks that outperformed over the past 3–12 months tend to continue outperforming over the next 3–12 months before eventually reverting.

This is one of the most empirically robust findings in all of finance — confirmed across 40+ countries and 200+ years of market data. The behavioral explanations:

  • Herding: investors follow other investors into winning stocks, creating self-reinforcing buying pressure
  • Underreaction to good news: investors anchor on past prices and are slow to update beliefs when positive information arrives — the market gradually reprices over months, not days
  • Overreaction lag: institutional investors have constraints (tracking error, risk budgets) that slow their repositioning — by the time consensus forms, momentum has already persisted
  • Earnings momentum: companies that beat earnings expectations often continue beating — the fundamental surprise compounds over multiple quarters

Why momentum works — the behavioral finance explanation

Unlike value investing (which has an intuitive risk-based explanation), momentum's persistence is primarily behavioral. Four mechanisms are well-documented:

  • Anchoring: investors anchor to the price they bought or remember — they're slow to acknowledge a stock's true value has changed, causing gradual rather than immediate repricing
  • Disposition effect: investors have a strong tendency to sell winners too early (locking in gains) and hold losers too long (hoping for recovery) — this selling pressure on winners creates temporary underpricing that momentum buyers capture
  • Institutional momentum: mutual fund flows follow performance (investors pour money into funds with strong recent returns) — this creates a self-fulfilling cycle of continued buying into recent winners
  • Earnings momentum: a company that surprised positively on earnings once is more likely to beat again — analysts systematically underestimate the persistence of earnings beats, creating continued upward price pressure

The momentum calculation — how it's measured

The standard academic and practitioner definition of momentum is:

Momentum Score = 12-month total return minus most recent 1-month return

The exclusion of the most recent month avoids short-term price reversal (a separate documented effect where last month's winners tend to slightly reverse in the next month). Key variations:

  • Cross-sectional momentum: rank all stocks by momentum score, buy top 20%, short bottom 20% — the classic academic version
  • Time-series (absolute) momentum: buy a stock if it has positive absolute momentum (above its own historical average), regardless of rank — popularized by Gary Antonacci's 'Dual Momentum'
  • Relative vs absolute: relative momentum compares stocks to each other; absolute momentum compares a stock to its own history (and cash) — Gary Antonacci showed combining both reduces crash risk
  • Lookback window matters: 3-month momentum is noisy; 12-month is the sweet spot; beyond 12 months, performance reverses (longer-term mean reversion takes over)

Momentum ETF comparison table

Momentum ETF comparison table
ETFTickerERAUMRebalanceConcentrationIndex
iShares MSCI USA MomentumMTUM0.15%~$15BSemi-annual (May/Nov)~125 stocksMSCI USA Momentum
Invesco S&P 500 MomentumSPMO0.13%~$2BQuarterly~100 stocksS&P 500 Momentum
Alpha Architect Quant MomentumQMOM0.29%~$400MQuarterly~50 stocksProprietary
JPMorgan US Momentum FactorJMOM0.12%~$500MQuarterly~200 stocksJP Morgan US Momentum
Invesco DWA MomentumPDP0.62%~$1BQuarterly~100 stocksDorsey Wright Technical Leaders

MTUM vs SPMO vs QMOM — deep dive

The three leading momentum ETFs take meaningfully different approaches:

iShares MSCI USA Momentum (MTUM) — 0.15%

Rebalances only twice per year (May and November), using large, liquid US stocks. Risk-adjusted momentum scores (divides return by volatility). This semi-annual rebalance makes it slow to adapt to changing conditions — it may hold stale positions late into a momentum regime. Best for: set-and-forget momentum exposure with low turnover. Tax efficient due to infrequent rebalancing.

Invesco S&P 500 Momentum (SPMO) — 0.13%

Quarterly rebalance from S&P 500 universe. Cheapest systematic momentum ETF. Slightly more responsive to changing momentum regimes than MTUM. Best for: cost-minimizing investors who want momentum exposure from only large-cap S&P 500 stocks.

Alpha Architect QMOM — 0.29%

Most concentrated pure momentum play — holds ~50 stocks ranked by 12-month minus 1-month return, with an additional quality screen (profitability filter). High annual turnover (100%+) creates tax drag in taxable accounts. Best held in IRA/401k. Best for: investors with strong conviction in pure momentum factor, willing to accept high concentration and tax cost for potentially stronger factor exposure.

Momentum crash risk — the most important risk to understand

Momentum's Achilles heel is the "momentum crash" — periodic, severe reversals where momentum portfolios suffer catastrophic losses in a very short time. Historical examples:

  • January 2001: dot-com bust accelerated; prior year's tech winners (momentum longs) collapsed while bombed-out value stocks rebounded — momentum portfolios lost 30%+ in weeks
  • March 2009: when the financial crisis trough hit, beaten-down financials and value stocks bounced 50%+ in weeks; prior winners sold off — momentum strategies suffered 40%+ drawdowns
  • March 2020: COVID crash; momentum was long defensive and quality names; when markets bottomed and cyclicals surged, momentum strategies were caught wrong-footed
  • The mechanism: momentum crashes occur when the market 'reverses' sharply after a prolonged trend — losers (the momentum short) bounce hard while winners (momentum long) are sold aggressively
  • Magnitude: momentum crashes can be 3–5× larger than the market drawdown in a concentrated momentum portfolio

How to manage: diversify momentum exposure with other factors (quality, value); use absolute momentum rules to exit when the trend reverses; size momentum as a portion of a diversified portfolio rather than the whole strategy.

Momentum + quality — the best combination

Academic and practitioner research consistently finds that combining the momentum factor with the quality/profitability factor produces better risk-adjusted returns than either factor alone:

  • Quality screen eliminates 'junk momentum': unprofitable companies that are rising purely on speculation, not fundamental improvement — these are the most crash-prone momentum stocks
  • QMOM (Alpha Architect) applies a profitability screen before selecting top momentum stocks — reducing exposure to low-quality momentum names
  • AQR's GMOM (Global Momentum) applies this globally, finding that quality-filtered momentum holds up better in market reversals
  • Practically: when screening individual momentum stocks, prioritize companies with positive and growing earnings, strong free cash flow, and high gross margins — not just high price returns
  • The stocks still showing genuine momentum on this page (CRWD, GEV, NVDA) combine price strength with fundamental acceleration; several others (META, CEG, PLTR, AXON) show why a quality-plus-momentum screen needs to be re-run regularly rather than treated as a static list

Sector momentum — an alternative approach

Momentum doesn't only apply to individual stocks — sector rotation is one of the oldest and most institutionally used forms of momentum investing:

  • Sector rotation: systematically buy sectors with the strongest trailing 3–12 month returns and underweight the weakest — a form of tactical asset allocation
  • 2023–2026 sector momentum leaders: Technology/AI (NVDA supply chain), Industrials (grid/energy buildout, GEV, CEG), Financials (benefiting from higher rates)
  • Sector momentum ETFs: Invesco's sector ETFs and SPDR sector ETFs can be used for tactical rotation; some all-in-one sector momentum products exist
  • Lower turnover than stock-level momentum: sectors trend longer than individual stocks, making sector momentum more tax-efficient
  • Stock momentum within sectors: even better — combine sector momentum (be in strong sectors) with stock momentum within those sectors (own the leading names)

Momentum comparison — trailing returns through August 2026

Returns are approximate price returns as of the Aug 14, 2026 market close. Stocks sorted by 12-month trailing return, descending. SPCX is measured from IPO date (June 12, 2026). AI scores from BriMindInvest composite model.

Momentum comparison — trailing returns through August 2026
TickerAI Score3M Return6M Return12M ReturnMkt CapFwd P/ESector
CRWD88+50%+102%+104%$221B166xCybersecurity AI
GEV82-3%+33%+70%$278B49xGrid / Energy
NVDA78-4%+23%+24%$5.5T23xAI Chips
SPCX70+4%+4%+4%$1.9T90xSpace / Launch
PLTR74+30%+32%-4%$418B91xAI Defense
CEG68+3%-2%-13%$100B23xNuclear Power
AXON71+58%+43%-18%$50B68xPublic Safety AI
META62-5%-8%-24%$1.5T18xAI / Social

Stock-by-stock momentum breakdown

CRWDCrowdStrikeAI 88Cybersecurity AI
3-Month Return+50%
6-Month Return+102%
12-Month Return+104%

CrowdStrike's Falcon platform provides cloud-native endpoint detection and response (EDR) security, and the stock has been the standout momentum performer in this group, more than doubling over the trailing 12 months as the company fully rebuilt customer trust after its 2024 outage incident.

Bull case

Net revenue retention above 120% shows existing customers are still expanding their spend, and the stock's acceleration in both the 3-month (+50%) and 6-month (+102%) windows signals genuinely strengthening momentum, not just a one-time re-rating. CrowdStrike's AI-native detection engine remains a differentiator against legacy, signature-based competitors.

Key risk

At roughly 166x forward earnings, CRWD now carries the richest valuation in the group after its run — a huge share of the past year's gain is multiple expansion, and any growth deceleration or renewed reliability incident would hit the stock hard from this level.

GEVGE VernovaAI 82Grid / Energy
3-Month Return-3%
6-Month Return+33%
12-Month Return+70%

GE Vernova, spun off from General Electric, makes the gas turbines, grid equipment, and wind hardware that utilities need to build out power capacity — demand for which has surged as AI data centers strain the US electrical grid. It remains the only one of the original picks still in MTUM's top-10 holdings.

Bull case

The gas turbine order backlog is sold out multiple years forward, giving unusually clear revenue visibility for an industrial company. Grid equipment demand is structurally supported by both AI data center buildout and long-overdue transmission infrastructure upgrades across the US.

Key risk

A slightly negative 3-month return shows the stock has cooled off after its huge run — any slowdown in data center construction announcements, or a shift toward on-site nuclear/renewable alternatives that reduces reliance on new gas turbine capacity, would extend the pullback. The wind business remains a weaker, more cyclical segment.

NVDANVIDIAAI 78AI Chips
3-Month Return-4%
6-Month Return+23%
12-Month Return+24%

NVIDIA supplies the GPUs that train and run most of the world's large AI models, and its data center segment — Blackwell-generation chips sold to hyperscalers, cloud providers, and enterprises — remains the dominant driver of company revenue, even as the stock's momentum has decelerated.

Bull case

At a much lower ~23x forward P/E than earlier in 2026, NVDA's valuation has reset even as data center demand remains structurally strong. CUDA software lock-in and a multi-generation architecture roadmap make it hard for customers to switch, even as competitors close the raw-hardware gap.

Key risk

The stock's negative 3-month return signals the market is actively digesting questions about AI capex sustainability among hyperscalers. NVDA has also fallen out of MTUM's top-25 holdings as of August 2026 — a sign systematic momentum strategies have already rotated away from it.

PLTRPalantirAI 74AI Defense
3-Month Return+30%
6-Month Return+32%
12-Month Return-4%

Palantir's Artificial Intelligence Platform (AIP) is deployed across US military commands and a fast-growing roster of commercial customers. The stock round-tripped in 2026 — a steep mid-year drawdown followed by a strong recent recovery — leaving the 12-month return barely negative despite powerful recent momentum.

Bull case

The +30% three-month and +32% six-month returns show renewed momentum is building again after the mid-2026 pullback, and continued US commercial growth gives the recovery a fundamental underpinning rather than pure sentiment.

Key risk

At roughly 91x forward earnings, Palantir remains one of the richest valuations in the group, and the swing from a deep drawdown to a sharp rally in the same year illustrates how volatile and sentiment-driven the stock can be — a repeat reversal is a real risk for anyone chasing the recent bounce.

AXONAxon EnterpriseAI 71Public Safety AI
3-Month Return+58%
6-Month Return+43%
12-Month Return-18%

Axon sells Tasers and body cameras to law enforcement agencies, bundled with its Evidence.com cloud platform that uses AI to help process and manage evidence. Like Palantir, the stock fell hard earlier in 2026 before staging a sharp recent recovery.

Bull case

The +58% three-month and +43% six-month returns are among the strongest short-term momentum readings in this group, and Axon's incumbent position with most major US police departments supports the recovery with real recurring SaaS revenue growth.

Key risk

The still-negative 12-month return is a reminder that Axon's momentum has been genuinely volatile in 2026, not a smooth uptrend. At roughly 68x forward earnings, the stock needs the recent growth reacceleration to hold for the rally to be justified rather than a short-covering bounce.

CEGConstellation EnergyAI 68Nuclear Power
3-Month Return+3%
6-Month Return-2%
12-Month Return-13%

Constellation Energy is the largest nuclear power operator in the US and a direct beneficiary of hyperscalers signing long-term power purchase agreements to secure reliable, carbon-free electricity for AI data centers — most visibly its deal to restart a Three Mile Island reactor to supply Microsoft. The stock has given back a significant portion of its prior gains over the past year.

Bull case

Nuclear power purchase agreements with hyperscalers lock in revenue for decades, and Constellation's existing fleet gives it a scarce, hard-to-replicate asset base. The pullback has also reset the forward P/E to a more reasonable ~23x from the mid-30s.

Key risk

A negative 12-month return shows the market has grown more skeptical that new hyperscaler PPAs will keep getting signed on similarly favorable terms, and nuclear restart/uprate projects still carry real execution and regulatory risk. This pick no longer meets a strict definition of 'momentum' and is included mainly for context on how quickly the AI-power trade has cooled.

METAMeta PlatformsAI 62AI / Social
3-Month Return-5%
6-Month Return-8%
12-Month Return-24%

Meta's core advertising business on Facebook and Instagram continues to be supported by AI-driven ad targeting, but the stock has fallen across every trailing period examined here as investors grew concerned about the payback timeline on Meta's sharply rising AI infrastructure capex.

Bull case

The pullback has reset Meta's forward P/E to roughly 18x — the cheapest multiple in this group — while the core advertising business remains highly profitable and AI-driven ad efficiency gains continue to show up in advertiser ROI metrics.

Key risk

Meta no longer qualifies as a momentum stock on any of the three trailing windows measured here; it is included in this list only because it appeared in the original screen and its reversal is instructive. Continued AI capex without a clear return, plus persistent regulatory scrutiny (EU digital markets rules, antitrust), remain the key overhangs.

SPCXSpaceXAI 70Space / Launch
3-Month Return+4%
6-Month Return+4%
12-Month Return+4%

SpaceX completed its long-awaited IPO on June 12, 2026 at $135/share, giving public-market investors direct access to both its reusable-rocket launch business and Starlink, its satellite internet service. The stock has been extremely volatile in its first two months of trading, peaking near $225 in mid-June before falling to an all-time low of $104.83 in early August and recovering to roughly $140.

Bull case

Starlink's recurring subscription revenue continues to grow rapidly and provides a more predictable, higher-margin complement to the lumpier launch-services business. SpaceX's reusable-rocket cost advantage over legacy launch providers remains largely unmatched.

Key risk

As a newly public company with barely two months of trading history, SPCX's return figures are extremely noisy and likely to keep swinging sharply. Post-IPO lockup expirations later in 2026 and 2027 could introduce meaningful share supply and further volatility.

Systematic momentum via MTUM ETF

If you prefer systematic momentum exposure rather than individual stock-picking, MTUM (iShares MSCI USA Momentum Factor ETF) is the primary vehicle.

MTUM — iShares MSCI USA Momentum Factor ETF
Expense Ratio
0.15%
AUM
~$26B
Holdings
~125 stocks
Rebalance
Biannual (May/Nov)
YTD 2026
+27.0%

MTUM selects stocks with the highest risk-adjusted price return over 6 and 12 months, weighted by their momentum score. As of its August 2026 rebalance, top holdings include Micron, AMD, Broadcom, Intel, and ExxonMobil — GE Vernova is the only stock from this page's original picks still in the top 10 (#10, ~3.1% weight); NVDA, META, and CEG have all rotated out of the top 25 as their momentum faded. The biannual rebalance means it captures multi-month trends rather than short-term noise. Best used as a complement to core index holdings.

Bull case for momentum investing

  • Academically proven factor: momentum has been documented across 40+ countries and 200+ years of data — the behavioral biases that create it are human constants unlikely to be arbitraged away
  • Behavioral biases won't disappear: anchoring, disposition effect, and herding are deeply ingrained human tendencies; as long as people are slow to update beliefs, momentum will persist
  • Outperforms in trending markets: 2023–2026 AI-driven mega-trends in semiconductors, grid infrastructure, and nuclear have created multi-year momentum in specific sectors that classic momentum strategies captured well
  • AI and infrastructure momentum still strong where it holds: CRWD +104% trailing 12M, GEV +70% — fundamental acceleration driving price momentum in a self-reinforcing cycle for the names where it hasn't cracked
  • Low implementation cost: MTUM and SPMO offer systematic exposure at 0.13–0.15% ER — the factor premium more than justifies the cost

Bear case for momentum investing

  • Momentum crashes are brutal and unpredictable: losing 30%+ in a single month is possible — Jan 2001, Mar 2009, Mar 2020 all saw momentum strategies massively underperform
  • High turnover = tax inefficiency in taxable accounts: some momentum strategies turn over 100%+ per year, generating short-term capital gains taxed at ordinary income rates
  • Underperforms in choppy, sideways markets: momentum requires a trending environment — in range-bound or mean-reverting markets, momentum strategies generate losses from whipsawing in and out
  • Behavioral crowding can amplify reversals: as more quantitative funds adopt momentum strategies, the factor becomes crowded — when the exit comes, everyone tries to sell at once, amplifying the crash
  • Reversals happen fast and without warning: Meta, Constellation Energy, Palantir, and Axon were all strong momentum names as recently as June 2026 and have since turned negative (or round-tripped violently) on a trailing 12-month basis — proof that momentum leadership rotates faster than most investors expect

Bottom line verdict

Momentum is one of the most powerful factors in investing — but also one of the most psychologically difficult to execute consistently because of crash risk and the temptation to sell at exactly the wrong moment. Here's the practical framework:

  • For systematic exposure: MTUM (0.15%) or SPMO (0.13%) — low-cost, rebalanced, no stock-picking required; hold in tax-advantaged accounts to reduce turnover tax drag
  • For pure factor exposure: QMOM (0.29%) — most concentrated, highest tracking to academic momentum factor; IRA-only due to turnover
  • For individual stocks: combine momentum screen (strong trailing 12-month return) with quality filter (profitable, growing earnings) — avoid 'junk momentum' in speculative pre-revenue names
  • Position sizing: momentum stocks at elevated valuations (CRWD at ~166× P/E, SPCX at ~90×) deserve smaller positions — the factor works best when diversified across 10–20+ names, not concentrated in 2–3
  • The cardinal rule of momentum: never fight the trend — but have a plan for when the trend ends, because it always does eventually

Frequently asked questions

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Data sources & disclosures: Financial data and metrics cited in this article are sourced from company SEC filings, earnings releases, and investor relations materials. Market prices and fundamental data are provided by financial market data providers. Market size estimates and industry projections are sourced from industry research and analyst reports. Figures reflect information available at the time of writing and may have changed. AI scores and price targets are proprietary estimates — see our Methodology. This article is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Investing involves risk, including the possible loss of principal. Please read our full Disclaimer and consult a licensed financial adviser before making investment decisions.