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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Finance · ·
$50.69
▲ $0.07 (+0.1%)
Market data updated: 09/19 07:48 AM
Fundamentals updated: 09/18/2026
News analyzed: 09/19/2026
Market Cap
$169.38B
Day Range
$50.38 - $50.87
52-Week Range
$36.30 - $55.99
Beta
—
Next Earnings
28.10.2026
Support
$49.91
Resistance
$55.99
+22.2% (1Y)
Strengths: 5/24 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
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 55.3%
Growth
Biggest negative driver
Leverage risk
Debt/equity: 4.07
Risk
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.
🗓️ 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
49
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
6d ago · $54.58
Evidence: Narrative Gap moved from 12 to -15 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
66
Quality
50
Value
50
Momentum
26
Risk
44
Sentiment
74
Fundamental
52
Institutional
27
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent coverage of UBS Group AG has centered on its strategic and outlook moves. CEO Sergio Ermotti warned investors of complacency amid rising geopolitical and economic risks, while the bank signaled a revised Fed forecast and sent a strong economic message. UBS also announced it will close its China mutual‑fund sales unit and disclosed transparency notifications related to Azelis. Additionally, UBS provided research commentary on Moderna’s upcoming data readouts.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about UBS Group AG Registered. News trend score: 74. Reason: 11 of the last 20 articles are positive, versus 7 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
25
🎯 Conviction (vs. Emotion)
50
Psychology
72
Fundamentals
52
Technical
26
Valuation
50
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-0%
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
UBS’s psychology is dominated by anchoring (82), as the stock hovers near resistance, locking in near-term expectations. FOMO and euphoria coexist but are muted by overvaluation and modest momentum vs. fundamentals. The narrative-reality gap (19) suggests traders may overestimate positive catalysts. The key question: *Will traders break the resistance anchor, or will momentum stall?*
Updated: 09/09/2026, 09:29 AM
What could change this?
👥 What the crowd believes
"UBS Stays Flat After Flipping From Zero Fed Hikes to Two"
"John Hall Joins UBS as Financial Advisor in Bellevue, WA"
"UBS Among 30 Firms With $75M In ETF Exposure"
"UBS Declares Coupon Payments on 8 ETRACS Exchange Traded Notes"
🧠 Market Brain events driving this
📈 11D Investor Psychology
Signal classification confidence: High (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 — 98/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 10/100
🗣️ Why do they disagree?
Based on his documented principles, the model estimates that Peter Lynch and Philip Fisher give UBS high marks because they favor growth potential, though Fisher notes insufficient fundamentals data to make a full assessment. In contrast, value‑oriented investors such as Benjamin Graham and Howard Marks produce much lower scores, with Graham’s defensive criteria failing and Marks flagging a cautious risk/valuation combination, indicating the stock does not meet their stricter safety standards. Cycle‑ and sentiment‑focused analysts like Samuel Armstrong Nelson and Charles Mackay assign moderate scores, seeing a favorable cycle position but also early signs of crowd excitement, which aligns with the mixed verdicts from market‑efficiency proponents and trend‑oriented traders. Finally, specialists such as Walter Bagehot and Jack Schwager provide near‑zero scores because essential balance‑sheet data are missing or the setup lacks the discipline they require, showing a clear divergence between growth‑centric, value‑centric, and data‑deficient perspectives.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 98
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
Peter Lynch
One Up on Wall Street (1989)
🟢 86
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 81
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: 15%
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 76
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟢 66
A real, disciplined setup with favorable reward/risk
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 51
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 50
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 42
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
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 41
Moderate risk 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)
🟡 36
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?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 35
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 33
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 21
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 10
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 0
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: 25%
Fact → Principle → Simulation
Based on the last 279 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.
A trading range after an advance, but still without clear (volume-based) confirmation of a distribution phase.
Low confidence
$49.91
Range Bottom
$55.99
Range Top
50
Trading Days in Range
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.
Gross Margin
—
Operating Margin
26.5%
Net Margin
21.1%
EBITDA Margin
—
ROE
8.6%
ROA
0.5%
ROIC
—
EPS
$2.46
Cash
$231.38B
Total Debt
—
Current Ratio
—
Debt/Equity
4.07
אין נתונים היסטוריים זמינים.
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 21.4.2026 | $1.102 |
| 20.4.2026 | $1.102 |
| 15.4.2025 | $0.904 |
| 14.4.2025 | $0.904 |
| 30.4.2024 | $0.700 |
| 29.4.2024 | $0.700 |
| 12.4.2023 | $0.550 |
| 11.4.2023 | $0.550 |
| 12.4.2022 | $0.500 |
| 11.4.2022 | $0.500 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$29.18
Tangible Book Value per Share (Tangible NAV)
$28.89
Sentiment based on basic keywords (not AI) — 11 positive, 2 neutral, 7 negative out of the last 20 articles.
Yahoo · 19.9.2026
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Yahoo · 17.9.2026
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Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
UBS Group AG Registered (UBS) currently has a StockIQ AI score of 49/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
UBS currently scores 49/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
UBS'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: Earnings per share (EPS) growth: 55.3%; Net income growth: 51.5%; Price is above the 200-day average.
Based on the real signals StockIQ computed: Debt/equity: 4.07; Price is below the 50-day average; MACD histogram is negative — falling momentum.
Yes — UBS 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 — 6 purchases and 16 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| UBS Group AG | Other Transaction | 29.5.2026 | 1,973 | -1,973 | $24,500.00 |
| UBS Group AG | Other Transaction | 29.5.2026 | 1,022 | -1,022 | $24,500.00 |
| UBS Group AG | Other Transaction | 29.5.2026 | 5,148 | -5,148 | $24,500.00 |
| UBS Group AG | Open Market Sale | 21.2.2025 | 100 | -100 | $7.68 |
| UBS Group AG | Open Market Purchase | 27.8.2024 | 3,715 | +3,715 | $0.55 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 16 | -16 | $4.10 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 3 | -3 | $4.15 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 200 | -200 | $4.10 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 105 | -105 | $4.10 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 3 | -3 | $4.24 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 3 | -3 | $4.21 |
| UBS Group AG | Open Market Purchase | 8.7.2024 | 5 | +5 | $4.52 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 1 | -1 | $4.29 |
| UBS Group AG | Open Market Purchase | 8.7.2024 | 100 | +100 | $4.53 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 25 | -25 | $4.39 |
| UBS Group AG | Open Market Sale | 8.7.2024 | 50 | -50 | $4.10 |
| UBS Group AG | Open Market Purchase | 5.7.2024 | 1 | +1 | $4.40 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 83 | -83 | $4.42 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 49 | -49 | $4.43 |
| UBS Group AG | Open Market Purchase | 5.7.2024 | 1 | +1 | $4.39 |
| UBS Group AG | Open Market Purchase | 5.7.2024 | 1 | +1 | $4.42 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 13 | -13 | $4.39 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 14 | -14 | $4.43 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 200 | -200 | $4.43 |
| UBS Group AG | Open Market Sale | 5.7.2024 | 200 | -200 | $4.42 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
5,698,196 shares short as of 2026-08-31 · vs. 5,997,675 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
51.0% of trading volume this week was short selling, vs. 61.1% 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