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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Industrials · ·
$925.09
▲ $42.28 (+4.8%)
Market data updated: 09/17 03:29 AM
Fundamentals updated: 09/17/2026
News analyzed: 09/17/2026
Market Cap
$246.38B
Day Range
$890.99 - $937.54
52-Week Range
$530.16 - $1,195.94
Beta
—
Next Earnings
28.10.2026
GEV is a stock from the Industrials sector — Manufacturing, aerospace, defense, and infrastructure — closely tied to capital-investment cycles and economic growth.
+40.4% (1Y)
Strengths: 8/29 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
🔴 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: 217.0%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 4.8% of price
Risk
Signal tension
Growth scores strong (68/100), but fair-value analysis scores this stock as relatively expensive (45/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
76/100
Similarity
15
Historical Matches
88/100
Analog Quality
+19.0%
Median 40D Outcome
27/100
Pattern Consistency
🟢 Bullish
87%
+5.0% … +23.1%
🟡 Base
0%
— … —
🔴 Bearish
13%
-11.8% … -6.2%
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, 87% (95% CI 62%–96%) saw the stock rise within 20 trading days, with a median gain of +12.4%.
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%) | +3.8% | -2.2% … +7.6% | +1.2% |
| 10D | 67% (42%–85%) | +6.1% | -1.5% … +8.9% | +1.9% |
| 20D | 87% (62%–96%) | +12.4% | +3.9% … +22.6% | +4.4% |
| 40D | 80% (55%–93%) | +19.0% | +3.7% … +29.8% | +13.0% |
| 60D | 87% (62%–96%) | +18.9% | +7.3% … +49.3% | +19.0% |
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 |
|---|---|---|---|---|
| 2025-11-05 | 76/100 | Consolidation | +12.4% | +39.4% |
| 2026-06-08 | 74/100 | Consolidation | +14.7% | -1.3% |
| 2026-05-20 | 73/100 | Uptrend | +8.3% | +5.3% |
| 2026-01-09 | 69/100 | Consolidation | +28.8% | +50.4% |
| 2025-10-22 | 67/100 | Consolidation | +3.4% | +18.9% |
| 2026-03-30 | 67/100 | Consolidation | +33.2% | +32.8% |
| 2025-03-28 | 65/100 | High Volatility | +22.2% | +65.9% |
| 2025-09-03 | 64/100 | Consolidation | +5.0% | +2.2% |
| 2025-03-05 | 63/100 | ✓ Consolidation | +4.4% | +49.3% |
| 2025-09-26 | 63/100 | Consolidation | -3.4% | +9.4% |
| 2025-11-21 | 61/100 | ✓ Consolidation | +19.1% | +49.4% |
| 2026-03-13 | 58/100 | Uptrend | +23.1% | +14.3% |
| 2025-02-18 | 56/100 | High Volatility | -14.6% | +16.0% |
| 2025-04-21 | 53/100 | High Volatility | +42.6% | +82.1% |
| 2025-08-19 | 51/100 | High Volatility | +1.9% | -4.6% |
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. Relative strength is measured against SPY and against XLI (this stock's sector).
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.
🗓️ 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.
1d ago · $874.76
Evidence: Narrative Gap moved from 18 to -15 day-over-day
What happened after
Still awaiting outcome
1d ago · $874.76
Evidence: Panic-selling score jumped from 1 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
68
Quality
63
Value
45
Momentum
16
Risk
48
Sentiment
86
Fundamental
53
Institutional
0
Stocks with a similar DNA right now
SCANNING GEV...
Recent coverage of GE Vernova has centered on its expanding renewable‑energy infrastructure role. Analysts note the company as a rising “infrastructure” play within the solar sector, and it secured a turbine‑supply deal for ESB’s Chleansaid wind farm in Scotland. At the same time, GE Vernova attracted attention for leadership changes, hiring Rivian’s departing CFO Claire McDonough, while its former finance chief is moving to T‑Mobile, highlighting the firm’s focus on bolstering its executive team.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about GE Vernova. News trend score: 86. Reason: 9 of the last 20 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
17
🎯 Conviction (vs. Emotion)
42
Psychology
67
Fundamentals
53
Technical
16
Valuation
45
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price (3M)
-16%
Market Narrative
50
Fundamental Reality
42
Narrative Gap
+8
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for GEV suggests a **narrative-reality disconnect** (gap: 14) where euphoric sentiment (score: 19) persists despite weak momentum and underperformance vs. fundamentals. The lack of dominant state implies a **conflicted psychological state**, with euphoria driven by positive news (92/100) and peer outperformance today, while technicals (RSI 44, below 200-day avg) and divergence from EPS growth hint at caution. The key question is whether sentiment will sustain despite lagging price action or if traders will pivot toward reality. The absence of panic or herding signals suggests a **selective optimism**—buyers may be ignoring fundamentals in favor of short-term momentum or news-driven excitement.
Updated: 09/09/2026, 05:04 AM
What could change this?
👥 What the crowd believes
"Claire McDonough... joining GE Vernova Inc. (NYSE:GEV) in the same role"
"GE Vernova has signed an agreement to supply turbines for ESB’s Chleansaid wind farm in Scotland"
"GE Vernova's (GEV) deal with the Venezuelan government is expected to help stabilize the country's power grid"
🧠 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 — 93/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 6/100
🗣️ Why do they disagree?
Based on their documented principles, the model estimates that the most bullish scores—Nelson (93), Lynch (87) and Smith (80)—highlight a favorable cycle position, strong growth relative to price, and long‑term hold potential. The mid‑range scores from Marks, Fisher and Housel suggest mixed views about valuation, expectations and risk, indicating the stock may be acceptable but not exceptional. In contrast, the lowest scores from Loeb, the efficient‑market view, Schwager, Bagehot, Livermore and Graham focus on liquidity risk, lack of a margin of safety, trend weakness and market efficiency, leading to strong reservations. Thus, the debate stems from some methodologies prioritising cycle and growth momentum while others weight safety, liquidity and trend‑following, producing divergent assessments.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 93
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)
🟢 87
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 80
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 75
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 71
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 57
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 56
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 53
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 39
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 37
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)
🟡 37
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
Walter Bagehot
Lombard Street (1873)
🟡 36
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 22
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 20
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 6
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?
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 9 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.
Gross Margin
19.8%
Operating Margin
3.6%
Net Margin
12.8%
EBITDA Margin
3.6%
ROE
43.7%
ROA
7.8%
ROIC
—
EPS
$17.92
Cash
$8.85B
Total Debt
$63.00M
Current Ratio
0.98
Debt/Equity
0.01
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 16.6.2026 | $0.500 |
| 15.6.2026 | $0.500 |
| 17.3.2026 | $0.500 |
| 16.3.2026 | $0.500 |
| 5.1.2026 | $0.500 |
| 4.1.2026 | $0.500 |
| 20.10.2025 | $0.250 |
| 19.10.2025 | $0.250 |
| 21.7.2025 | $0.250 |
| 20.7.2025 | $0.250 |
| 17.4.2025 | $0.250 |
| 16.4.2025 | $0.250 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$40.50
Tangible Book Value per Share (Tangible NAV)
$21.78
Sentiment based on basic keywords (not AI) — 9 positive, 8 neutral, 3 negative out of the last 20 articles.
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
ChartMill · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
ChartMill · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
SeekingAlpha · 16.9.2026
Yahoo · 16.9.2026
SeekingAlpha · 16.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
GE Vernova (GEV) 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.
GEV 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.
GEV's technical score is 16/100, 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: 217.0%; Net income growth: 214.7%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: ATR: 4.8% of price; Current ratio: 0.98; Price is below the 50-day average.
Yes — GEV 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 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Abate Victor | Open Market Sale | 1.6.2026 | 4,819 | -4,819 | $948.08 |
| Abate Victor | Open Market Sale | 1.6.2026 | 1,835 | -4,819 | $948.08 |
| MALAVE JESUS JR | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| HUNDMEJEAN MARTINA | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Reynolds Paula Rosput | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Matthew C. Harris | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| DONALD ARNOLD W | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Rucker Kim K.W. | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Akins Nicholas K | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| ANGEL STEPHEN F | Grant/Award from Employer | 20.5.2026 | 299 | +299 | — |
| ANGEL STEPHEN F | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| DONALD ARNOLD W | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Reynolds Paula Rosput | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| ANGEL STEPHEN F | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| ANGEL STEPHEN F | Grant/Award from Employer | 20.5.2026 | 299 | +299 | — |
| HUNDMEJEAN MARTINA | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Akins Nicholas K | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Rucker Kim K.W. | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| Matthew C. Harris | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| MALAVE JESUS JR | Grant/Award from Employer | 20.5.2026 | 173 | +173 | — |
| HUNDMEJEAN MARTINA | Exercise of Derivative Securities | 14.5.2026 | 495 | +495 | — |
| HUNDMEJEAN MARTINA | Exercise of Derivative Securities | 14.5.2026 | 495 | -495 | — |
| DONALD ARNOLD W | Exercise of Derivative Securities | 14.5.2026 | 495 | -495 | — |
| DONALD ARNOLD W | Exercise of Derivative Securities | 14.5.2026 | 495 | +495 | — |
| Reynolds Paula Rosput | Exercise of Derivative Securities | 14.5.2026 | 495 | -495 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
8,763,426 shares short as of 2026-08-31 · vs. 8,528,212 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
47.5% of trading volume this week was short selling, vs. 51.1% 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