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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$184.31
▲ $0.03 (+0.0%)
Market data updated: 09/15 02:22 PM
News analyzed: 09/15/2026
Market Cap
Not available
Day Range
$184.31 - $185.07
52-Week Range
$126.68 - $198.73
Beta
—
Next Earnings
—
+36.1% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 5/12 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
🟡 Mixed
Technical Trend
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Daily volatility (ATR)
ATR: 1.9% of price
Risk
Biggest negative driver
MACD
MACD histogram is negative — falling momentum
Technical
What to watch next
When today echoes the past.
90/100
Similarity
15
Historical Matches
93/100
Analog Quality
+2.2%
Median 40D Outcome
80/100
Pattern Consistency
🟢 Bullish
53%
+4.0% … +6.3%
🟡 Base
20%
+0.2% … +0.3%
🔴 Bearish
27%
-3.6% … -1.9%
Typical timeframe (based on real historical rates clearing a 60% bar): 5 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 53% (95% CI 30%–75%) saw the stock rise within 20 trading days, with a median gain of +1.9%.
Echo #1 — Trend Acceleration
11 occurrence(s) · 64% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 60% (36%–80%) | +1.5% | -0.1% … +2.4% | +0.6% |
| 10D | 60% (36%–80%) | +1.6% | -0.1% … +3.3% | +1.4% |
| 20D | 53% (30%–75%) | +1.9% | -0.8% … +5.1% | +2.3% |
| 40D | 53% (30%–75%) | +2.2% | -0.2% … +5.2% | +4.0% |
| 60D | 67% (42%–85%) | +8.6% | -2.1% … +11.1% | +5.9% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2024-03-15 | 90/100 | Consolidation | -2.0% | +7.1% |
| 2026-02-02 | 89/100 | Consolidation | -5.3% | +9.5% |
| 2026-01-05 | 87/100 | Consolidation | -1.8% | -6.7% |
| 2021-01-29 | 85/100 | ✓ Consolidation | +4.6% | +11.0% |
| 2021-01-14 | 84/100 | Uptrend | +7.7% | +10.6% |
| 2018-04-27 | 83/100 | ✓ Consolidation | +5.9% | +11.3% |
| 2025-11-13 | 83/100 | ✓ Consolidation | +0.3% | -0.2% |
| 2024-11-15 | 83/100 | Consolidation | +5.6% | +4.9% |
| 2019-09-27 | 82/100 | ✓ Consolidation | +4.1% | +14.5% |
| 2025-01-07 | 82/100 | ✓ Consolidation | +0.4% | -22.1% |
| 2025-08-19 | 81/100 | Uptrend | +3.7% | +12.3% |
| 2024-12-10 | 81/100 | Consolidation | -3.0% | -11.7% |
| 2024-04-12 | 80/100 | ✓ Consolidation | +0.1% | +15.7% |
| 2025-12-12 | 79/100 | Consolidation | +1.9% | -4.1% |
| 2025-09-03 | 79/100 | Consolidation | +8.9% | +8.6% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity.
Cross-stock analogs — real other companies, not this stock's own history.
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.
XLK exhibits a balanced yet nuanced profile, with its **investorScore of 73** and **STRONG rating** driven primarily by strong technical and news-driven fundamentals. The **technical category (70)** reflects a mixed but resilient stance: the stock holds above both the 50-day and 200-day moving averages, signaling sustained bullish momentum, while the **RSI of 55.3** further supports positive momentum. However, the **negative MACD histogram** and **overbought %K (85.3)** introduce caution, suggesting potential short-term exhaustion or a slowing upward trend. The **news category (86)** stands out as the strongest, with multiple positive sector updates—particularly around tech stocks and ETFs—counteracting minor negative headlines, reinforcing XLK’s alignment with broader market tailwinds. The **risk category (58)**, however, introduces a notable constraint: while the **ATR of 1.9%** indicates moderate volatility, the **Calmar ratio of 1.10** (with a 25.8% max drawdown) highlights historical sensitivity to market downturns, particularly in a sector prone to macroeconomic shifts. Overall, XLK’s strengths in technical resilience and positive news sentiment are tempered by emerging technical fatigue and inherent risk factors, creating a cautiously optimistic yet guarded outlook.
The stock sits firmly above both the 50-day and 200-day moving averages, with an RSI of 55.3 indicating healthy upward momentum, though the MACD histogram is negative and %K is overbought at 85.3.
This suggests strong medium-term support but potential short-term overvaluation or momentum fatigue.
Recent sector updates overwhelmingly favor tech stocks and ETFs, with only minor negative noise from broader market fluctuations, resulting in a high news-driven score of 86.
Positive sector sentiment reinforces XLK’s alignment with macro trends, mitigating isolated negative headlines.
The ATR of 1.9% indicates low volatility, but the Calmar ratio of 1.10 (with a 28.4% annualized return and 25.8% max drawdown) signals moderate risk exposure, particularly in drawdown scenarios.
This balance of returns and drawdowns underscores the stock’s sensitivity to broader market corrections.
StockIQ conclusion
XLK demonstrates a robust foundation with strong technical support and favorable sector sentiment, but its score is tempered by emerging technical fatigue and inherent risk factors. The stock’s ability to maintain momentum above key moving averages is a key strength, while the overbought conditions and historical drawdown sensitivity introduce caution. Investors should monitor the MACD and RSI trends closely, as well as broader market conditions, to assess whether XLK’s current equilibrium can sustain or if a correction is imminent.
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
55
Risk
58
Sentiment
74
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 **State Street Technology Select Sector SPDR ETF (XLK)** has primarily focused on its performance within the broader tech sector. The ETF saw modest gains in early September 2026, aligning with broader tech stock rallies amid mixed market conditions. While investors poured billions into ETFs overall in August, there was a notable pullback from chip-focused funds, suggesting shifting sector preferences. The ETF’s performance was part of broader market trends, including a jobs report that sparked speculation about potential Federal Reserve rate adjustments.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about State Street Technology Select Sector SPDR ETF. News trend score: 74. Reason: 9 of the last 20 articles are positive, versus 5 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
17
🎯 Conviction (vs. Emotion)
50
Psychology
20
Fundamentals
—
Technical
55
Valuation
—
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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)
-1%
Market Narrative
55
Fundamental Reality
50
Narrative Gap
+5
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for XLK suggests a dominant anchoring bias, where traders fixate on the 2.4% gap below resistance, despite positive momentum and euphoric sentiment. The narrative-reality gap (16 points) hints at overestimation of bullish potential, while FOMO and euphoria coexist but are secondary. The key question is whether traders will break resistance or retreat to the anchor level. Low panic selling and herding imply no immediate panic, but anchoring could cap upside until confirmation.
Updated: 09/07/2026, 10:42 PM
What could change this?
👥 What the crowd believes
""Tech stocks were higher late Friday afternoon, with the State Street Technology Select Sector SPDR ETF (XLC)""
""State Street Technology Select Sector SPDR ETF (XLC)""
""Exchange-Traded Funds Mixed, US Equities Lower After Midday — ... State Street Technology Select Sector SPDR ETF (XLC) not explicitly mentioned but tech ETFs rise in context""
📈 5D 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
Morgan Housel — 69/100
🔴 Weakest match
Jack Schwager — 22/100
🗣️ Why do they disagree?
The stark divide in verdicts for XLK reflects deep methodological differences in how these investors evaluate stocks. Morgan Housel’s high score and positive verdict highlight his focus on quiet, long-term compounders—here, the stock’s steady growth and patient-friendly profile align with his principles. In contrast, the majority of methodologies—from Graham and Fisher to Schwager—return neutral or negative scores due to insufficient data or structural concerns, emphasizing gaps in valuation, fundamentals, or cyclical positioning. Meanwhile, late-cycle warnings from Marks and Nelson suggest caution, while Livermore’s outright rejection underscores a technical misalignment with the stock’s trend. The contrast between Housel’s endorsement and the rest’s skepticism underscores whether the stock’s growth is sustainable enough for patient investors or if its momentum is already priced in.
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
Morgan Housel
The Psychology of Money (2020)
🟢 69
The kind of quiet compounder a patient holder could actually stick with
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 68
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 64
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 64
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 52
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
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)
🟡 46
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)
🟡 41
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 40
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
Jack Schwager
Market Wizards (1989)
🔴 22
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
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (4 bullish · 3 bearish · 3 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 uptrend 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 | $0.228 |
| 23.3.2026 | $0.168 |
| 22.12.2025 | $0.219 |
| 22.9.2025 | $0.179 |
| 23.6.2025 | $0.199 |
| 24.3.2025 | $0.188 |
| 23.12.2024 | $0.193 |
| 23.9.2024 | $0.200 |
| 24.6.2024 | $0.200 |
| 18.3.2024 | $0.170 |
| 18.12.2023 | $0.211 |
| 18.9.2023 | $0.180 |
Sentiment based on basic keywords (not AI) — 9 positive, 6 neutral, 5 negative out of the last 20 articles.
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
SeekingAlpha · 14.9.2026
SeekingAlpha · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Benzinga · 14.9.2026
SeekingAlpha · 13.9.2026
Benzinga · 13.9.2026
Yahoo · 13.9.2026
Motley Fool · 13.9.2026
SeekingAlpha · 12.9.2026
Yahoo · 11.9.2026
MT Newswires · 11.9.2026
MT Newswires · 11.9.2026
Yahoo · 11.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for State Street Technology Select Sector SPDR ETF (XLK) — 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 XLK 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.
XLK's technical score is 55/100, 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: ATR: 1.9% of price; Price is above the 50-day average; Price is above the 200-day average.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; -2.9% over the last 3 months relative to the index; RSI 48.8 — weak/negative bias.
Yes — XLK 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.
23,103,469 shares short as of 2026-08-31 · vs. 17,357,144 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
46.0% of trading volume this week was short selling, vs. 55.3% 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