QQEW
Price
$154.76
Change
-$0.26 (-0.17%)
Updated
Oct 23 closing price
Net Assets
1.85B
Intraday BUY SELL Signals
SPMO
Price
$138.66
Change
-$0.16 (-0.12%)
Updated
Oct 23 closing price
Net Assets
21.99B
Intraday BUY SELL Signals
VONG
Price
$123.16
Change
-$0.44 (-0.36%)
Updated
Oct 23 closing price
Net Assets
46.15B
Intraday BUY SELL Signals
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QQEW or SPMO or VONG

QQEW vs SPMO vs VONG Comparison Chart in %
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A.I.Advisor
Oct 21, 2026

Which ETF would AI Choose? First Trust Nasdaq-100 Select Equal Weight ETF (QQEW) vs. Invesco S&P 500® Momentum ETF (SPMO) vs. Vanguard Russell 1000 Growth ETF (VONG)

Key Takeaways

  • QQEW employs an equal-weight strategy on a select subset of Nasdaq-100 constituents with quality and growth scores, resulting in broader diversification within its holdings compared to market-cap-weighted peers.
  • SPMO applies a momentum factor overlay to approximately 100 S&P 500 stocks, emphasizing recent performance persistence with semi-annual rebalancing.
  • VONG provides straightforward exposure to large-cap growth stocks via full replication of the Russell 1000 Growth Index, offering the lowest expense ratio among the three.
  • Structural differences drive varying concentration risk: QQEW equal-weights holdings, SPMO blends market cap with momentum scores, and VONG follows market-cap weighting typical of growth indexes.
  • Expense ratios range from VONG at 0.06% to QQEW at 0.55%, influencing long-term cost efficiency for buy-and-hold investors.
  • All three target U.S. large-cap equities with growth characteristics but differ in factor tilts, affecting sensitivity to market cycles and sector rotations.

Introduction

These three exchange-traded funds (ETFs) offer distinct approaches to U.S. large-cap growth exposure, making them relevant for comparison amid ongoing sector rotations and factor-driven market environments. QQEW focuses on equal-weighted selection from Nasdaq-100 names screened for quality and growth. SPMO targets momentum within the S&P 500. VONG delivers broad Russell 1000 growth coverage. They do not track identical indexes but compete as strategic options within growth-oriented equity allocation, providing investors tiered exposures based on diversification, factor emphasis, and cost.

First Trust Nasdaq-100 Select Equal Weight ETF (QQEW) Overview

QQEW seeks to track the Nasdaq-100 Select Equal Weight Index, which selects the top 50 Nasdaq-100 companies based on blended quality and growth scores before applying equal weighting. The ETF holds approximately 50 securities, with quarterly rebalancing and reconstitution. Top holdings typically include a mix of technology and healthcare names such as Meta Platforms, Shopify, and Intuitive Surgical. Sector allocation leans heavily toward technology (around 70%), followed by healthcare. The expense ratio stands at 0.55%. As a passively managed, smart-beta ETF, it emphasizes equal weighting to reduce concentration in mega-cap names while incorporating fundamental screens.

Invesco S&P 500® Momentum ETF (SPMO) Overview

SPMO tracks the S&P 500 Momentum Index, selecting roughly 100 stocks from the S&P 500 with the highest momentum scores. Constituents receive weighting based on a combination of market capitalization and momentum score, with reconstitution and rebalancing occurring semi-annually. Holdings feature prominent technology and growth companies. Sector exposure concentrates in technology and related areas. The expense ratio is 0.13%. This passive, factor-based ETF aims to capture persistence in relative performance through its momentum methodology.

Vanguard Russell 1000 Growth ETF (VONG) Overview

VONG seeks to replicate the Russell 1000 Growth Index, which measures large-capitalization growth stocks using criteria such as higher forecasted growth and historical sales growth. It employs full replication with approximately 370 holdings weighted by market capitalization. Top positions include major technology leaders such as NVIDIA, Apple, and Microsoft. The expense ratio is 0.06%, among the lowest in its category. This passive ETF provides broad, cap-weighted exposure to U.S. large-cap growth equities without additional factor overlays.

Industry and Thematic Landscape

The ETFs operate within the U.S. large-cap growth segment, heavily influenced by technology sector dynamics, including artificial intelligence advancements, semiconductor demand, and software innovation. Capital flows have favored growth-oriented strategies amid earnings strength in key holdings, though regulatory scrutiny on big tech and potential shifts in interest rate environments introduce volatility. Macroeconomic drivers such as inflation trends, corporate spending on digital transformation, and geopolitical tensions affecting supply chains continue to shape sector performance. Earnings trends among dominant technology names remain a primary driver, with risks including valuation compression during risk-off periods.

Performance and Positioning Comparison

In recent market cycles, structural differences have produced varied responses to volatility and sector rotations. QQEW’s equal-weight approach may moderate drawdowns relative to concentrated cap-weighted funds during mega-cap corrections but can lag in strong momentum rallies. SPMO’s momentum tilt has historically supported outperformance in trending markets while increasing sensitivity to reversals. VONG’s broad growth exposure delivers consistent participation in large-cap rallies with lower turnover. Relative volatility tends to be higher for momentum and equal-weight variants compared to standard growth indexing, reflecting their factor emphases and concentration profiles.

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 stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights into ETFs like QQEW, SPMO, and VONG may find the platform useful for ongoing analysis.

Tickeron AI Verdict

Based on observable structural strength, VONG demonstrates advantages in cost efficiency and broad diversification, supporting stable risk-adjusted positioning across market environments. SPMO offers targeted momentum exposure that may enhance returns during favorable trends, while QQEW provides differentiated equal-weighting with quality screens. Tickeron’s AI would currently assign the highest probabilistic favorability to VONG for investors prioritizing low costs and comprehensive large-cap growth coverage, with the other two serving complementary roles depending on specific factor preferences.

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

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SUMMARIES
A.I.Advisor
a Summary for QQEW with price predictions
Oct 23, 2026

Momentum Indicator for QQEW turns negative, indicating new downward trend

QQEW saw its Momentum Indicator move below the 0 level on October 13, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 83 similar instances where the indicator turned negative. In 69 of the 83 cases, the stock moved further down in the following days. The odds of a decline are at 83%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Moving Average Convergence Divergence Histogram (MACD) for QQEW turned negative on October 12, 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 48 similar instances when the indicator turned negative. In 39 of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at 81%.

QQEW moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for QQEW crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 10 of 18 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 56%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where QQEW 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 76%.

Bullish Trend Analysis

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 8 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a +1.24% 3-day Advance, the price is estimated to grow further. Considering data from situations where QQEW advanced for three days, in 277 of 321 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.

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

The Aroon Indicator entered an Uptrend today. In 269 of 316 cases where QQEW Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 85%.

A.I.Advisor
a Summary for SPMO with price predictions
Oct 23, 2026

SPMO in downward trend: 10-day moving average moved below 50-day moving average on October 16, 2026

The 10-day moving average for SPMO crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 17 of 20 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 85%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 08, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPMO as a result. In 73 of 89 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.

The Moving Average Convergence Divergence Histogram (MACD) for SPMO turned negative on October 09, 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 52 similar instances when the indicator turned negative. In 41 of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at 79%.

SPMO moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPMO 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 77%.

The Aroon Indicator for SPMO entered a downward trend on September 22, 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.

Bullish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 9 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a +1.09% 3-day Advance, the price is estimated to grow further. Considering data from situations where SPMO advanced for three days, in 312 of 379 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.

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

A.I.Advisor
a Summary for VONG with price predictions
Oct 23, 2026

VONG in downward trend: 10-day moving average crossed below 50-day moving average on October 23, 2026

The 10-day moving average for VONG crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 87%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on VONG as a result. In 64 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.

The Moving Average Convergence Divergence Histogram (MACD) for VONG turned negative on October 14, 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 48 similar instances when the indicator turned negative. In 41 of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at 85%.

VONG moved below its 50-day moving average on October 16, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where VONG 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%.

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where VONG's RSI Oscillator exited the oversold zone, 25 of 28 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 6 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a +1.67% 3-day Advance, the price is estimated to grow further. Considering data from situations where VONG advanced for three days, in 298 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.

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

The Aroon Indicator entered an Uptrend today. In 337 of 377 cases where VONG Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 89%.

TECHNICAL ANALYSIS
Technical Analysis
QQEWSPMOVONG
RSI
ODDS (%)
N/A
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
89%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
82%
MACD
ODDS (%)
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
85%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
84%
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
81%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
87%
Advances
ODDS (%)
Bullish Trend 4 days ago
86%
Bullish Trend 23 days ago
82%
Bullish Trend 19 days ago
84%
Declines
ODDS (%)
Bearish Trend 2 days ago
76%
Bearish Trend 2 days ago
77%
Bearish Trend 2 days ago
82%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
86%
Aroon
ODDS (%)
Bullish Trend 2 days ago
85%
Bearish Trend 3 days ago
65%
Bullish Trend 2 days ago
89%
View a ticker or compare two or three
QQEW
Daily Signal:
Gain/Loss:
SPMO
Daily Signal:
Gain/Loss:
VONG
Daily Signal:
Gain/Loss:
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QQEW and

Correlation & Price change

A.I.dvisor indicates that over the last year, QQEW has been closely correlated with SWKS. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQEW jumps, then SWKS could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To QQEW
1D Price
Change %
QQEW100%
-0.17%
SWKS - QQEW
72%
Closely correlated
+1.26%
CDNS - QQEW
67%
Closely correlated
+2.21%
ARM - QQEW
60%
Loosely correlated
+0.11%
ZM - QQEW
60%
Loosely correlated
-0.45%
SNPS - QQEW
57%
Loosely correlated
+1.81%
More

SPMO and

Correlation & Price change

A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPMO
1D Price
Change %
SPMO100%
-0.12%
GLW - SPMO
72%
Closely correlated
-0.24%
ETN - SPMO
72%
Closely correlated
-0.78%
FIX - SPMO
71%
Closely correlated
-9.26%
CAT - SPMO
71%
Closely correlated
-2.42%
COHR - SPMO
68%
Closely correlated
+0.71%
More