VBK
Price
$334.03Alerts
Change
+$4.88 (+1.48%)
Updated
Nov 11, 04:59 PM (EDT)
Net Assets
21.47B
Intraday BUY SELL Signals
XSMO
Price
$81.42Alerts
Change
+$1.05 (+1.31%)
Updated
Nov 11, 04:59 PM (EDT)
Net Assets
2.63B
Intraday BUY SELL Signals
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VBK vs XSMO

VBK vs XSMO Comparison Chart in %
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A.I.Advisor
Oct 31, 2026

Which ETF would AI Choose? Vanguard Small-Cap Growth ETF (VBK) vs. Invesco S&P SmallCap Momentum ETF (XSMO)

Key Takeaways

  • VBK is a passive, broad-based small-cap growth fund tracking the MSCI US Small Cap Growth Index with roughly 550 holdings and an ultra-low 0.05% expense ratio.
  • XSMO is a rules-based momentum strategy tracking the S&P SmallCap 600 Momentum Index with about 114 holdings and a 0.35% net expense ratio.
  • The two funds pursue different philosophies: VBK offers diversified small-cap growth exposure, while XSMO concentrates on stocks exhibiting the strongest recent price momentum.
  • Both lean into technology and healthcare, but XSMO carries meaningfully higher concentration risk with a heavier financials and real estate tilt.
  • Tickeron AI Verdict: VBK is the favored ticker, reflecting its superior cost efficiency, broader diversification, and more consistent relative positioning.

Introduction

Small-cap equities sit at the center of several active market debates in recent cycles — the outlook for interest rates, the resilience of domestic economic activity, and the persistence of the artificial intelligence investment theme. Against that backdrop, investors evaluating this segment frequently weigh two distinct vehicles: the Vanguard Small-Cap Growth ETF (VBK) and the Invesco S&P SmallCap Momentum ETF (XSMO). They are not direct competitors in the strictest sense. VBK provides broad, low-cost access to the small-cap growth universe, while XSMO pursues a concentrated momentum factor tilt. This ETF comparison clarifies how each fund's structural design, sector exposure, and risk profile translate into different positioning in the current environment.

Vanguard Small-Cap Growth ETF (VBK) Overview

VBK is a passively managed fund that seeks to track the MSCI US Small Cap Growth Index. Launched in January 2004 and managed by Vanguard, it holds roughly 550 to 560 securities, making it one of the most diversified ways to access the small-cap growth style. Its expense ratio of about 0.05% ranks among the lowest in the category, a structural advantage that compounds over long holding periods.

Sector allocation is broad but tilted toward growth industries: technology and industrials each account for roughly 22% of assets, followed by healthcare (about 17%) and consumer discretionary (about 13%). Top holdings are individually small, keeping single-stock risk low. Representative positions in recent periods have included Natera (NTRA), Ciena (CIEN), Rocket Lab (RKLB), SoFi Technologies (SOFI), Comfort Systems, and Coherent. Because no single name dominates, the fund's relative performance is driven by broad style and sector trends rather than the fortunes of a few companies.

Invesco S&P SmallCap Momentum ETF (XSMO) Overview

XSMO is a rules-based, passive-in-design ETF that tracks the S&P SmallCap 600 Momentum Index, which selects and weights holdings based on their recent price momentum. Launched in March 2005 by Invesco, the fund holds about 114 to 116 securities and carries a net expense ratio of 0.35% — higher than VBK, reflecting the more selective, factor-driven approach and more frequent rebalancing required to maintain momentum exposure.

The portfolio is considerably more concentrated than VBK, with top positions such as Viasat (VSAT), Victoria's Secret, Protagonist Therapeutics (PTGX), Madison Square Garden Sports, and Glaukos each exceeding 2% of assets. Sector exposure tilts toward information technology (about 22%), healthcare (about 18%), financials (about 14%), and real estate (about 12%). The momentum methodology means holdings rotate more aggressively, so the fund's composition can shift substantially between rebalancing periods.

Industry and Thematic Backdrop

Both funds operate within the small-cap segment, which is historically more sensitive to domestic economic conditions, financing costs, and changes in risk appetite than large-cap peers. Recent market cycles have featured shifting expectations around Federal Reserve policy, with rate-cut anticipation intermittently boosting smaller, more indebted companies. At the same time, enthusiasm for artificial intelligence and semiconductor-linked names has supported the technology-heavy growth cohort both funds partially share.

Momentum strategies such as XSMO tend to benefit when a narrow set of winners sustains its leadership, whereas broad funds such as VBK perform more evenly when strength rotates across sectors. Key risks for the space include persistent inflation, tighter credit conditions, and valuation sensitivity in long-duration growth equities. These macro forces shape both funds' sector exposure and their relative positioning over time.

Performance and Positioning Comparison

In recent weeks and months, the two funds have diverged in ways consistent with their designs. VBK's broad diversification and technology-industrial tilt have allowed it to capture upside across multiple leadership groups with lower single-stock concentration risk. XSMO's momentum tilt has amplified exposure to whichever small-cap names are trending, which can produce stronger bursts of performance during risk-on phases but also more pronounced drawdowns when leadership reverses.

On relative positioning, XSMO typically carries higher volatility and a heavier financials and real estate allocation, tying it more closely to interest-rate expectations and credit conditions. VBK's lower fee, wider diversification, and more balanced sector mix have historically produced steadier fund performance through rotation. These structural differences — rather than isolated daily moves — explain much of the gap in risk profiles between the two products.

AI Screener

Tickeron's AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of securities using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener is designed to surface trade ideas, trending names, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to build a data-driven view of the small-cap universe and refine your ETF comparison process.

Tickeron AI Verdict

Weighing cost efficiency, diversification, concentration risk, and trend consistency, Tickeron's AI would likely favor VBK over XSMO in the current environment. VBK's near-zero expense ratio and roughly 550-stock breadth provide a structurally stronger foundation with materially lower single-name and sector concentration risk. While XSMO's momentum methodology can outperform in sustained trending markets, its higher fee, narrower portfolio, and greater sensitivity to leadership reversals introduce additional volatility that is not always rewarded. The AI verdict therefore leans toward VBK for its combination of low cost, broad sector exposure, and more resilient relative positioning across market cycles.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
VBK vs. XSMO commentary
Nov 12, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is VBK is a StrongBuy and XSMO is a StrongBuy.

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SUMMARIES
A.I.Advisor
a Summary for VBK with price predictions
Nov 10, 2026

VBK in upward trend: price expected to rise as it breaks its lower Bollinger Band on November 05, 2026

VBK may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 29 of 32 cases where VBK's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 50 of 58 cases where VBK's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 86%.

Following a +5.04% 3-day Advance, the price is estimated to grow further. Considering data from situations where VBK advanced for three days, in 270 of 320 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on November 10, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on VBK as a result. In 74 of 93 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 80%.

The Moving Average Convergence Divergence Histogram (MACD) for VBK turned negative on November 05, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In 40 of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at 80%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where VBK declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.

The Aroon Indicator for VBK entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

A.I.Advisor
a Summary for XSMO with price predictions
Nov 10, 2026

XSMO sees its Stochastic Oscillator ascends from oversold territory

On November 10, 2026, the Stochastic Oscillator for XSMO moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 54 instances where the indicator left the oversold zone. In 49 of the 54 cases the stock moved higher in the following days. This puts the odds of a move higher at over 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where XSMO's RSI Indicator exited the oversold zone, 22 of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 85%.

The Moving Average Convergence Divergence (MACD) for XSMO just turned positive on November 10, 2026. Looking at past instances where XSMO's MACD turned positive, the stock continued to rise in 45 of 52 cases over the following month. The odds of a continued upward trend are 87%.

Following a +4.11% 3-day Advance, the price is estimated to grow further. Considering data from situations where XSMO advanced for three days, in 270 of 318 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.

XSMO may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on November 10, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on XSMO as a result. In 73 of 92 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 79%.

XSMO moved below its 50-day moving average on October 30, 2026 date and that indicates a change from an upward trend to a downward trend.

The 50-day moving average for XSMO moved below the 200-day moving average on October 23, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where XSMO declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 83%.

The Aroon Indicator for XSMO entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

TECHNICAL ANALYSIS
Technical Analysis
VBKXSMO
RSI
ODDS (%)
N/A
Bullish Trend 2 days ago
85%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
86%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
79%
MACD
ODDS (%)
Bearish Trend 2 days ago
80%
Bullish Trend 2 days ago
87%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
85%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
84%
Advances
ODDS (%)
Bullish Trend 3 days ago
84%
Bullish Trend 2 days ago
85%
Declines
ODDS (%)
Bearish Trend 10 days ago
82%
Bearish Trend 7 days ago
83%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
78%
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XSMO and

Correlation & Price change

A.I.dvisor indicates that over the last year, XSMO has been closely correlated with UFPI. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSMO jumps, then UFPI could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XSMO
1D Price
Change %
XSMO100%
+0.15%
UFPI - XSMO
81%
Closely correlated
-2.26%
BHE - XSMO
76%
Closely correlated
+0.51%
CSW - XSMO
74%
Closely correlated
-1.39%
NPO - XSMO
74%
Closely correlated
-0.45%
WTS - XSMO
71%
Closely correlated
-0.09%
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