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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$134.25
▲ $4.41 (+3.4%)
Market data updated: 09/18 08:19 AM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
$133.34 - $135.15
52-Week Range
$66.93 - $189.24
Beta
—
Next Earnings
—
+96.2% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 4/13 factors positiveRisk: High
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
🟡 Mixed
Technical Trend
🟡 Mixed
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
Daily volatility (ATR)
ATR: 4.3% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 1 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 1
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.
PSI’s overall investor score of **49 (Moderate)** reflects a mixed technical and risk profile, tempered by strong fundamental news sentiment. The technical category (31) highlights a weak short-term trend—price sits below the 50-day average and the MACD histogram is negative, signaling declining momentum—while the RSI (46.6) and %K (41.7) suggest neutral to bearish bias. However, the stock’s position above the 200-day average provides a modest contrarian anchor. Risk metrics (42) are notable for the high volatility (4.6% ATR) and a Calmar ratio of 1.05, indicating a volatile return profile with a 41.1% historical drawdown. Despite this, the news category (98) stands out as overwhelmingly positive, driven by themes like semiconductor growth, AI trade scrutiny, and thematic updates, which could offset technical headwinds if realized. The divergence between technical weakness and bullish news underscores a nuanced outlook where execution on sector tailwinds may determine near-term performance.
The stock exhibits short-term weakness—below the 50-day average and MACD histogram—with an RSI of 46.6 and %K in neutral territory, but remains above the 200-day average, suggesting a longer-term bullish bias.
Short-term momentum and overbought/oversold signals are critical for traders, while the 200-day average provides a structural anchor for investors.
The news score is exceptionally high (98) due to predominantly positive semiconductor/AI-related narratives, though one negative article about SMH’s underperformance introduces minor counterbalance.
Positive news can drive speculative demand and justify valuation premiums, while negative sentiment may dampen enthusiasm or highlight sector-specific risks.
The stock displays high volatility (4.6% ATR) and a Calmar ratio of 1.05, reflecting a volatile return profile with a 41.1% historical drawdown despite a 43.2% annualized return.
Volatility and drawdown risk are critical for risk-averse investors, as they indicate potential for sharp corrections alongside high upside potential.
StockIQ conclusion
PSI’s Moderate score (49) is shaped by a technical underperformance contrasted with overwhelmingly positive news, creating a mixed outlook. While short-term indicators suggest caution, the semiconductor/AI narrative provides a strong fundamental foundation. Risk remains elevated due to volatility and drawdown history, but the stock’s structural position above the 200-day average offers potential for recovery if momentum stabilizes. Investors should monitor sector catalysts and technical reversals to assess whether the current divergence between fundamentals and technicals persists or resolves.
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
60
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
48
Risk
42
Sentiment
100
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 **Invesco Semiconductors ETF (PSI)** highlights the sector’s growing prominence amid AI-driven demand, with a focus on supply constraints and selective winners. While broader tech stocks like SMH (semiconductor ETF) saw strong gains, niche semiconductor funds outperformed by targeting overlooked segments. Analysts emphasize heightened scrutiny as AI’s expansion reshapes the market, with investors distinguishing between resilient players and potential risks amid shifting growth dynamics. The ETF’s performance reflects broader tech volatility and AI’s macroeconomic impact.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Invesco Semiconductors ETF. News trend score: 100. Reason: 15 of the last 20 articles are positive, versus 4 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
21
🎯 Conviction (vs. Emotion)
50
Psychology
65
Fundamentals
—
Technical
48
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.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-25%
Market Narrative
66
Fundamental Reality
50
Narrative Gap
+16
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests **euphoria** as the dominant psychological state, driven by a significant outperformance (+14.1% above the 200-day average) and overwhelmingly positive sentiment (98/100). Despite weak momentum (-2.5% ROC) and neutral RSI (47), the extreme valuation gap may reflect overoptimism or a narrative disconnect. The narrative gap (10 points) hints at a potential misalignment between market expectations and fundamentals, but euphoria persists. The key question is whether this disconnect will persist or if external catalysts could disrupt the current overvaluation.
Updated: 09/07/2026, 05:57 PM
What could change this?
👥 What the crowd believes
"Semiconductors’ newfound prominence... given the importance of chips, memory and equipment suppliers to the AI infrastructure build-out."
"AI is becoming a visible source of macroeconomic resilience, especially in the US, where investment... is helping offset weaker momentum elsewhere."
"SMH delivered a jaw-dropping year, yet three semiconductor funds quietly left it in the dust by betting on corners of the chip market."
"Investors await Nvidia’s earnings."
📈 3D 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
Charles Mackay — 62/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock’s starkly divided verdicts reflect deep methodological disagreements rooted in data availability and risk tolerance. The most bullish signal comes from **Edgar Lawrence Smith**, whose near-perfect score suggests a favorable dividend/growth dynamic—though his verdict notes insufficient data, implying this is more a theoretical than a concrete buy. Meanwhile, **Samuel Armstrong Nelson** and **Jack Schwager** lean cautiously positive, with Nelson seeing a cyclical oversold position and Schwager at least not dismissing it outright, contrasting sharply with the outright red flags from **Howard Marks** and **Gerald M. Loeb**, who flag late-cycle risks and excessive volatility. The majority of methodologies—including **Graham, Fisher, Lynch, and Bagehot**—struggle with data gaps, leaving their verdicts inconclusive, while **Morgan Housel’s zero score** underscores the stock’s potential to unsettle patient investors, aligning with his emphasis on behavioral resilience. The divide highlights whether this stock’s cyclical or speculative traits justify a speculative play (Smith/Nelson) or warrant outright avoidance (Loeb/Housel).
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 100
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 62
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)
🟡 54
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 53
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 53
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
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%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 45
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
Jack Schwager
Market Wizards (1989)
🟡 45
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)
🟡 38
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 28
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 0
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 276 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (4 bullish · 5 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 |
|---|---|
| 22.6.2026 | $0.016 |
| 23.3.2026 | $0.003 |
| 22.12.2025 | $0.005 |
| 22.9.2025 | $0.024 |
| 23.6.2025 | $0.042 |
| 24.3.2025 | $0.005 |
| 23.12.2024 | $0.029 |
| 23.9.2024 | $0.007 |
| 24.6.2024 | $0.048 |
| 18.12.2023 | $0.052 |
| 18.9.2023 | $0.025 |
| 20.6.2023 | $0.060 |
Sentiment based on basic keywords (not AI) — 15 positive, 1 neutral, 4 negative out of the last 20 articles.
SeekingAlpha · 15.9.2026
Benzinga · 9.9.2026
SeekingAlpha · 9.9.2026
SeekingAlpha · 9.9.2026
etf.com · 8.9.2026
SeekingAlpha · 6.9.2026
SeekingAlpha · 4.9.2026
SeekingAlpha · 1.9.2026
SeekingAlpha · 29.8.2026
SeekingAlpha · 28.8.2026
SeekingAlpha · 28.8.2026
Yahoo · 27.8.2026
SeekingAlpha · 27.8.2026
SeekingAlpha · 25.8.2026
SeekingAlpha · 25.8.2026
SeekingAlpha · 24.8.2026
Zacks · 24.8.2026
Yahoo · 24.8.2026
SeekingAlpha · 19.8.2026
SeekingAlpha · 14.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Invesco Semiconductors ETF (PSI) — 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 PSI 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.
PSI's technical score is 48/100, which currently reads as neutral — 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; MACD histogram is positive — rising momentum; ROC 12 days: 1.8%.
Based on the real signals StockIQ computed: ATR: 4.3% of price; Price is below the 50-day average; -22.7% over the last 3 months relative to the index.
Yes — PSI 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.
195,390 shares short as of 2026-08-31 · vs. 311,194 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
42.6% of trading volume this week was short selling, vs. 44.8% 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