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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NASDAQ
$53.46
▲ $0.13 (+0.2%)
Market data updated: 09/16 01:21 PM
News analyzed: 09/16/2026
Market Cap
Not available
Day Range
$53.38 - $54.18
52-Week Range
$34.54 - $68.36
Beta
—
Next Earnings
—
+42.7% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 1/13 factors positiveRisk: Medium
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🔴 Bearish
Technical Trend
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 200
Price is above the 200-day average
Technical
Biggest negative driver
Price vs. SMA 50
Price is below the 50-day average
Technical
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
SMHX’s overall score of 46 reflects a mixed technical and risk profile tempered by a relatively stronger news sentiment. The technical category (34) highlights a weak short-term bias, with the price hovering below the 50-day average and a negative MACD histogram signaling declining momentum, despite the RSI (49.1) and %K (60.1) suggesting neutral to slightly bearish conditions. The risk category (50) reveals moderate volatility (ATR: 3.0%) and a historically high return (49.6% annualized) but with a significant drawdown (38.5%), indicating resilience amid volatility. Meanwhile, the news category (74) stands out as the strongest, driven by positive Nvidia earnings implications and neutral yet constructive discussions on AI and semiconductor investment strategies, which could offset technical concerns for investors focused on sector trends.
The stock is below its 50-day average and 52-week SAR point, with a negative MACD histogram and RSI in weak territory (49.1), while remaining above the 200-day average—a mixed signal of short-term weakness and long-term support.
This divergence suggests potential short-term pressure despite underlying structural support, which could influence near-term trading behavior.
The news score is elevated (74) due to a single positive Nvidia earnings call mention and multiple neutral articles framing SMHX as a viable AI/tech play, with no overtly negative sentiment.
Positive sector-specific news can outweigh technical weakness for investors prioritizing thematic exposure over immediate price action.
The ATR (3.0%) indicates moderate volatility, while the Calmar ratio (1.29) reflects a strong risk-adjusted return (49.6% annualized) despite a 38.5% historical drawdown, suggesting resilience but persistent volatility risk.
High drawdowns and volatility may deter risk-averse investors, even if the long-term return profile is compelling.
StockIQ conclusion
SMHX presents a nuanced profile with technical headwinds outweighed by strong sector-related news and historical resilience. While the stock’s short-term indicators suggest caution, its alignment with AI and semiconductor growth narratives—particularly tied to Nvidia—could provide tailwinds for investors willing to overlook immediate volatility. The risk profile remains balanced, with high returns tempered by drawdown risk, making it suitable for those prioritizing thematic exposure over short-term stability.
Written automatically from the computed data shown on this page only — not investment advice.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
44
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
No data available
Quality
No data available
Value
No data available
Momentum
26
Risk
50
Sentiment
86
Fundamental
No data available
Institutional
No data available
Stocks with a similar DNA right now
Not enough comparably-scored stocks yet to show similar matches.
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of the **VanEck Fabless Semiconductor ETF (SMHX)** has centered on its concentrated exposure to AI-driven semiconductor leaders like NVIDIA (NVDA), Broadcom (AVGO), and AMD, which benefit from strong demand in artificial intelligence and data center growth. Analysts highlight the ETF’s strategic positioning within the AI value chain, noting surges in key holdings such as Arm Holdings (ARM) and NVIDIA’s record earnings. Discussions also emphasize semiconductors’ critical role in tech innovation and economic expansion, with recommendations to invest in ETFs like SMHX amid AI-driven chip market momentum.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about VanEck Fabless Semiconductor ETF. News trend score: 86. Reason: 9 of the last 18 articles are positive, versus 3 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
20
🎯 Conviction (vs. Emotion)
50
Psychology
58
Fundamentals
—
Technical
26
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Extreme momentum, price far above its moving average, and a large premium over fair value.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
Price (3M)
-15%
Market Narrative
51
Fundamental Reality
50
Narrative Gap
+1
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
SMHX’s psychology score (27) reflects a dominant *Euphoria* state, where positive momentum and a significant outperformance of the 200-day average fuel overconfidence in continued gains. The neutral RSI (51) and positive sentiment (80/100) suggest this isn’t irrational exuberance, but a measured optimism—likely anchored by the stock’s recent strength. The key question is whether this momentum can sustain itself or if profit-taking will emerge as traders reassess valuations. The narrative gap (9) hints at a disconnect between market enthusiasm and underlying fundamentals, warranting caution.
Updated: 09/09/2026, 09:09 AM
What could change this?
👥 What the crowd believes
"strong AI chip demand (article 7)"
"over 45% in NVDA (article 1)"
"AI trade spans four layers (article 6)"
"revenue of $96.2B, up 106% YoY (article 2)"
📈 6D Investor Psychology
Signal classification confidence: Medium (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Samuel Armstrong Nelson — 92/100
🔴 Weakest match
Morgan Housel — 32/100
🗣️ Why do they disagree?
The methodologies here reveal a stark divide between those who might cautiously entertain SMHX and those who would steer clear entirely. On one end, **Charles Mackay** flags early signs of speculative excitement, suggesting a potential bubble forming that could attract momentum-driven investors. Meanwhile, **Burton Malkiel & John Bogle** and **Jesse Livermore** lean neutral, with the former dismissing the stock’s case for active picking and the latter seeing no clear trend to exploit. In contrast, the majority of the models—including **Graham, Fisher, Lynch, Bagehot, and Veblen**—struggle with insufficient data to apply their core principles, leaving them neutral but uninspired. At the other extreme, **Howard Marks (Market Cycle), Morgan Housel, and Samuel Armstrong Nelson** warn of late-cycle risks, volatility, and overbought conditions, while **Jack Schwager** and **Edgar Lawrence Smith** outright reject the stock for lacking disciplined setups or fundamental dividends. The debate hinges on whether the stock’s speculative buzz (Mackay) outweighs its cyclical fragility (Marks, Nelson) or if the data gaps (Graham, Fisher) make it a blind bet.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 92
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 66
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 55
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 50
Not enough balance-sheet/valuation data for a real Graham read
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Peter Lynch
One Up on Wall Street (1989)
🟡 50
Not enough growth data for a real Lynch read
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Walter Bagehot
Lombard Street (1873)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 50
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 50
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 47
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 46
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 44
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 43
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 33
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 32
The kind of volatility that tends to shake patient holders out
Key question
Could I live with this volatility long enough for compounding to actually work?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 14
Not enough dividend/growth data for a real Smith read
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Based on the last 274 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 8 bearish · 2 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
The stock is in a clear downtrend with no defined trading range in the period examined.
Low confidence
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 22.12.2025 | $0.009 |
| 23.12.2024 | $0.011 |
Sentiment based on basic keywords (not AI) — 9 positive, 6 neutral, 3 negative out of the last 18 articles.
Benzinga · 14.9.2026
Benzinga · 14.9.2026
Yahoo · 9.9.2026
Zacks · 9.9.2026
Benzinga · 8.9.2026
SeekingAlpha · 6.9.2026
SeekingAlpha · 3.9.2026
SeekingAlpha · 3.9.2026
Yahoo · 1.9.2026
Zacks · 1.9.2026
SeekingAlpha · 12.8.2026
Benzinga · 4.8.2026
SeekingAlpha · 29.7.2026
Zacks · 20.7.2026
Zacks · 10.7.2026
Zacks · 9.7.2026
Zacks · 1.7.2026
Business Wire · 2.6.2026
StockIQ doesn't currently have enough real data to compute a reliable score for VanEck Fabless Semiconductor ETF (SMHX) — only 3 of 7 categories are available right now. Rather than show a misleading number, this page shows which data is missing instead.
StockIQ doesn't give buy/sell recommendations — and for SMHX specifically, there currently isn't enough real data (only 3 of 7 categories available) to state even a factual score reliably. Check back once more data is available.
SMHX's technical score is 26/100, which currently reads as bearish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Price is above the 200-day average.
Based on the real signals StockIQ computed: Price is below the 50-day average; MACD histogram is negative — falling momentum; -18.5% over the last 3 months relative to the index.
Yes — SMHX has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 0 sales out of the last 0 filings.
No recent insider transaction filings found for this stock.
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
62,503 shares short as of 2026-08-31 · vs. 19,360 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
54.5% of trading volume this week was short selling, vs. 58.0% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology