BOTZ
Price
$36.64
Change
-$1.69 (-4.41%)
Updated
Jun 23 closing price
Net Assets
3.54B
Intraday BUY SELL Signals
PBW
Price
$38.92
Change
-$2.30 (-5.58%)
Updated
Jun 23 closing price
Net Assets
560.09M
Intraday BUY SELL Signals
SMH
Price
$622.05
Change
-$46.86 (-7.01%)
Updated
Jun 23 closing price
Net Assets
78.4B
Intraday BUY SELL Signals
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BOTZ or PBW or SMH

BOTZ vs PBW vs SMH Comparison Chart in %
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Which ETF would AI Choose? Global X Robotics & Artificial Intelligence ETF (BOTZ) vs. Invesco WilderHill Clean Energy ETF (PBW) vs. VanEck Semiconductor ETF (SMH)

Key Takeaways

  • SMH offers the lowest expense ratio at 0.35%, compared to 0.68% for BOTZ and 0.64% for PBW, enhancing long-term cost efficiency.
  • BOTZ provides broad thematic exposure to robotics and AI across 62 holdings and multiple sectors like industrials (44.8%) and technology (34.5%), offering diversification beyond pure tech.
  • PBW features a modified equal-weighted structure with 69 holdings, capping concentration risk with top holdings under 3%, focused on U.S. clean energy innovators.
  • SMH is highly concentrated in 25-26 semiconductor leaders (100% technology), driving higher volatility but superior momentum in recent market cycles.
  • All three ETFs exhibit elevated beta versus broad markets, with SMH showing the highest sensitivity to tech-driven rallies in recent months.
  • Structural differences highlight SMH's market-cap weighting for liquidity, BOTZ's global unconstrained approach, and PBW's quarterly rebalancing for clean energy purity.

Introduction

Investors navigating the intersection of technology and sustainability find BOTZ, PBW, and SMH compelling for thematic exposure. BOTZ targets global robotics and artificial intelligence (AI) innovators, while SMH focuses on U.S.-listed semiconductor producers powering AI and computing. PBW, in contrast, emphasizes U.S. clean energy companies advancing renewables and conservation. These ETFs represent varied strategies: BOTZ's multi-sector thematic tilt, SMH's concentrated sector leadership, and PBW's equal-weighted purity in emerging green tech. Amid surging AI demand, energy transitions, and supply chain shifts, comparing their structures reveals tiered risk profiles—from SMH's high-conviction bets to PBW's broader diversification—positioning them for distinct roles in tech-oriented portfolios.

Global X Robotics & Artificial Intelligence ETF (BOTZ) Overview

The Global X Robotics & Artificial Intelligence ETF (BOTZ) tracks the Indxx Global Robotics & Artificial Intelligence Thematic Index, seeking exposure to companies benefiting from robotics and AI adoption, including industrial automation, non-industrial robots, and autonomous vehicles. It holds 62 securities in a non-diversified, unconstrained global portfolio. Top holdings include KEY (9.42%), ABB (8.83%), FANUC (8.49%), NVDA (8.37%), and Intuitive Surgical (5.91%). Sector allocations feature industrials (44.8%), information technology (34.5%), and health care (9.6%). The expense ratio is 0.68%. BOTZ emphasizes thematic purity across developed markets without sector caps, distinguishing it as a broad AI enabler.

Invesco WilderHill Clean Energy ETF (PBW) Overview

The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, investing at least 90% in U.S.-listed stocks advancing cleaner energy, conservation, and zero-CO2 renewables. With 69 holdings, it uses a modified equal-dollar weighting to balance influence. Top holdings are SGML (2.45%), FCEL (2.39%), NVTS (2.32%), LAR (2.18%), and BE (2.11%). Sectors include industrials (42.57%), materials (19.70%), and information technology (18.53%). The expense ratio stands at 0.64%, with quarterly rebalancing and reconstitution. PBW prioritizes companies with technological relevance to pollution prevention, offering diversified clean energy exposure.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) replicates the MVIS US Listed Semiconductor 25 Index, targeting the largest, most liquid U.S.-exchange-listed semiconductor firms involved in production and equipment. It maintains 25-26 holdings in a market-cap-weighted, non-diversified structure (100% information technology). Top holdings feature NVDA (~17%), TSM (~10%), INTC (~8%), AVGO (~7%), and AMD (~6-7%). The expense ratio is 0.35%. SMH emphasizes global-scope leaders via depositary receipts, favoring liquidity and industry dominance for enhanced representation.

Industry and Thematic Landscape

The semiconductor, robotics/AI, and clean energy sectors face intertwined macro drivers. AI data center expansion and electrification propel semiconductor demand, with global capacity concentrated in East Asia amid U.S. CHIPS Act incentives for reshoring. Capital flows favor power-dense assets, with clean energy capex rising at 12% CAGR since 2021 versus 3% for fossils, driven by grid modernization and 40% U.S. electricity demand growth by 2034. Robotics benefits from automation in renewables like solar assembly. Regulatory shifts, including FEOC rules and tariffs, spur domestic investment, while geopolitical tensions elevate energy security. Earnings growth in holdings reflects AI capex and transition tailwinds, though supply chain risks and policy volatility persist.

Performance and Positioning Comparison

In recent months, SMH has outperformed with YTD returns around 57% and 1-year gains over 150%, fueled by semiconductor leaders' momentum in AI cycles, though its concentration amplifies volatility (beta ~1.8). BOTZ trails at ~14% YTD and 42% over one year, with steadier trends from diversified robotics exposure, showing lower drawdowns in non-tech rallies. PBW exhibits higher volatility tied to clean energy policy sensitivity, with modest recent positioning amid capex surges. Differences stem from SMH's cap-weighted tech purity versus BOTZ's multi-sector balance and PBW's equal-weight emerging focus, influencing macro sensitivities like rates and trade flows.

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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across themes like tech and energy.

Tickeron AI Verdict

Tickeron’s AI favors SMH with moderate conviction (65-75% probability edge) due to its superior cost efficiency (0.35% expense ratio), liquidity from market-cap weighting, and momentum stability in AI-fueled cycles. While BOTZ offers better diversification and PBW limits concentration, SMH's risk-adjusted positioning in semiconductors—core to tech infrastructure—aligns with durable structural strengths amid capex trends.

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
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FUNDAMENTALS
Fundamentals
SMH has more net assets: 78.4B vs. BOTZ (3.54B) and PBW (560M). SMH has a higher annual dividend yield than PBW and BOTZ: SMH (72.729) vs PBW (28.308) and BOTZ (1.132). BOTZ was incepted earlier than PBW and SMH: BOTZ (10 years) vs PBW (21 years) and SMH (15 years). SMH (0.35) has a lower expense ratio than PBW (0.64) and BOTZ (0.68). PBW has a higher turnover BOTZ (12.11) and SMH (12.00) vs BOTZ (12.11) and SMH (12.00).
BOTZPBWSMH
Gain YTD1.13228.30872.729
Net Assets3.54B560M78.4B
Total Expense Ratio0.680.640.35
Turnover12.1162.0012.00
Yield0.590.600.18
Fund Existence10 years21 years15 years
TECHNICAL ANALYSIS
Technical Analysis
BOTZPBWSMH
RSI
ODDS (%)
Bullish Trend 1 day ago
89%
Bearish Trend 1 day ago
86%
Bearish Trend 1 day ago
81%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Bearish Trend 1 day ago
85%
Momentum
ODDS (%)
Bearish Trend 1 day ago
82%
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
89%
MACD
ODDS (%)
Bearish Trend 3 days ago
86%
Bearish Trend 1 day ago
85%
Bearish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
85%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
86%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
85%
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 23 days ago
88%
Bullish Trend 10 days ago
90%
Bullish Trend 3 days ago
90%
Declines
ODDS (%)
Bearish Trend 1 day ago
82%
Bearish Trend 1 day ago
90%
Bearish Trend 15 days ago
82%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
89%
Bearish Trend 1 day ago
77%
Aroon
ODDS (%)
Bearish Trend 1 day ago
87%
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
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BOTZ
Daily Signal:
Gain/Loss:
PBW
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
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BOTZ and

Correlation & Price change

A.I.dvisor indicates that over the last year, BOTZ has been loosely correlated with NVDA. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if BOTZ jumps, then NVDA could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To BOTZ
1D Price
Change %
BOTZ100%
-4.41%
NVDA - BOTZ
61%
Loosely correlated
-4.13%
SERV - BOTZ
58%
Loosely correlated
-5.74%
WRD - BOTZ
57%
Loosely correlated
-4.64%
HSAI - BOTZ
53%
Loosely correlated
-2.69%
SOUN - BOTZ
52%
Loosely correlated
-6.25%
More

PBW and

Correlation & Price change

A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if PBW jumps, then ENVX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To PBW
1D Price
Change %
PBW100%
-5.58%
ENVX - PBW
68%
Closely correlated
-10.35%
ACHR - PBW
67%
Closely correlated
-3.31%
QS - PBW
66%
Closely correlated
-2.50%
BLDP - PBW
66%
Loosely correlated
-3.47%
SLDP - PBW
65%
Loosely correlated
-2.50%
More

SMH and

Correlation & Price change

A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SMH
1D Price
Change %
SMH100%
-7.01%
LRCX - SMH
86%
Closely correlated
-9.33%
KLAC - SMH
83%
Closely correlated
-9.17%
AMAT - SMH
83%
Closely correlated
-8.48%
TSM - SMH
81%
Closely correlated
-6.69%
ASML - SMH
80%
Closely correlated
-7.82%
More