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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NASDAQ
$560.61
▲ $15.05 (+2.8%)
Market data updated: 09/18 11:23 AM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
$557.56 - $561.77
52-Week Range
$313.43 - $671.83
Beta
—
Next Earnings
—
+77.6% (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.
The overall investor score of 63 for **SMH** reflects a mixed technical and risk profile, tempered by a neutral news environment. While technical indicators show some positive momentum—such as the price sitting above the 200-day average, a positive MACD histogram, and an RSI of 51.2—these strengths are offset by concerning signals like the price falling below both the 50-day average and the SAR point, indicating a short-term downtrend. The risk category, though moderate, highlights volatility with a 3-year Calmar ratio of 1.49, suggesting a high-reward but high-risk profile. Meanwhile, the news category scores perfectly due to a neutral-to-positive narrative, with recent AI-related themes and broader tech strength providing some tailwinds, though no definitive catalysts for SMH specifically. The balance of these factors results in a moderate rating, where technical and risk metrics drag the score down despite supportive news sentiment.
The stock exhibits mixed technical signals: positive momentum (MACD, RSI) and long-term strength (above 200-day average) are countered by short-term weakness (below 50-day average, SAR point, and neutral %K).
Short-term positioning and trend confirmation are critical for ETFs like SMH, where speculative flows and sector rotation heavily influence performance.
News sentiment is neutral to positive, with AI-related themes and broader tech strength dominating headlines, though no direct SMH-specific catalysts exist.
External sector trends and macroeconomic narratives can drive ETF flows, particularly in high-beta assets like semiconductor ETFs.
The ATR (3.0%) and Calmar ratio (1.49) indicate moderate volatility and a historically high-reward but high-risk profile, with a 36% max drawdown over the past three years.
Volatility and drawdown risk are key considerations for speculative ETFs, where sharp corrections can erode gains quickly.
StockIQ conclusion
SMH’s moderate score reflects a nuanced balance between technical momentum and short-term weakness, tempered by a neutral news backdrop and inherent volatility risks. While positive momentum indicators and sector tailwinds provide some support, the stock’s underperformance relative to peers and technical resistance points suggest caution. Investors should monitor sector trends and technical breakouts, as these could meaningfully alter the stock’s trajectory in either direction. The risk-reward profile remains skewed toward speculation, with rewards tied to broader tech or AI narratives.
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
35
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
2d ago · $542.11
Evidence: Narrative Gap moved from 14 to -27 day-over-day
What happened after
Still awaiting outcome
2d ago · $542.11
Evidence: Panic-selling score jumped from 0 to 28 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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
50
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 on the **VanEck Semiconductor ETF** is limited, with no direct mentions in the provided sources. The broader headlines focus on market trends—such as semiconductor stocks (including AI and chip-related firms) rallying despite economic signals like hawkish jobs data, while ETF flows show investors pulling funds from chip funds in August. General tech strength and macroeconomic themes (e.g., inflation, Fed policy) dominate discussions, but no specific updates on the ETF itself are present.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about VanEck Semiconductor ETF. News trend score: 50. Reason: The mix of positive and negative articles is balanced — 7 vs. 7 out of the last 20 articles.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
7
🎯 Conviction (vs. Emotion)
50
Psychology
39
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 stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-17%
Market Narrative
43
Fundamental Reality
50
Narrative Gap
-7
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for SMH suggests a **narrative-reality gap** (gap: 11) where optimism (Euphoria 32) outweighs FOMO (19), despite neutral RSI (54) and moderate momentum (+2.0% ROC). The 19.9% premium above the 200-day average and high sentiment (86/100) imply investors may be pricing in stronger fundamentals than recent price action reflects. The key question: *Is this optimism justified by earnings or external catalysts, or is it detached from near-term fundamentals?*
Updated: 09/09/2026, 09:09 AM
What could change this?
👥 What the crowd believes
"AI and semiconductor stocks rallied despite a hawkish jobs report"
"Wall Street futures pointed moderately higher... as traders again favored tech issues"
"Investors Put $182.6 Billion Into ETFs in August — but Pulled Money Out of Chip Funds"
🧠 Market Brain events driving this
📈 7D 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 — 88/100
🔴 Weakest match
Morgan Housel — 35/100
🗣️ Why do they disagree?
Based on the cycle‑focused principles of Nelson, Mackay, and Marks‑cycle, the model estimates that SMH appears relatively favorable, being nearer to oversold conditions and not overextended in the market cycle. However, Marks’ broader valuation view and Livermore’s trend rule introduce caution, with the model estimating that expectations may already be high and the price trend is negative, suggesting limited upside. The numerous classic value and growth frameworks (Graham, Fisher, Lynch, Bagehot, Smith, etc.) return neutral 50 scores because the required balance‑sheet, dividend, growth, or profit data are insufficient for a definitive read. Finally, the more risk‑aware lenses of Loeb, the efficient‑market view, Schwager’s wizard discipline, and Housel’s volatility concerns produce lower scores, indicating moderate risk and a preference to stay out of the position.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 88
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)
🟢 86
No obvious signs of crowd mania
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)
🟢 66
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 63
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 57
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
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)
🟡 48
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 44
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)
🟡 39
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
Jack Schwager
Market Wizards (1989)
🟡 38
No real setup here — the discipline Schwager's wizards shared would say stay out
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 35
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
Based on the last 277 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 | $1.105 |
| 23.12.2024 | $1.071 |
| 18.12.2023 | $1.043 |
| 19.12.2022 | $1.201 |
| 20.12.2021 | $0.787 |
Sentiment based on basic keywords (not AI) — 7 positive, 6 neutral, 7 negative out of the last 20 articles.
SeekingAlpha · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
SeekingAlpha · 17.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
SeekingAlpha · 16.9.2026
Benzinga · 16.9.2026
Benzinga · 16.9.2026
SeekingAlpha · 15.9.2026
Benzinga · 15.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
Benzinga · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for VanEck Semiconductor ETF (SMH) — 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 SMH 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.
SMH'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; -14.3% over the last 3 months relative to the index.
Yes — SMH 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.
13,278,959 shares short as of 2026-08-31 · vs. 11,105,545 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
56.5% of trading volume this week was short selling, vs. 56.0% 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