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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$222.27
▲ $2.93 (+1.3%)
Market data updated: 09/20 01:07 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$5.36T
Day Range
$218.04 - $222.73
52-Week Range
$164.27 - $236.54
Beta
—
Next Earnings
17.11.2026
Support
$190.01
Resistance
$234.76
NVDA is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+26.1% (1Y)
Strengths: 19/29 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
🟡 Mixed
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 65.5%
Growth
Biggest negative driver
MACD
MACD histogram is negative — falling momentum
Technical
Signal tension
Growth scores strong (74/100), 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.
90/100
Similarity
15
Historical Matches
92/100
Analog Quality
+1.3%
Median 40D Outcome
52/100
Pattern Consistency
🟢 Bullish
53%
+4.1% … +14.2%
🟡 Base
0%
— … —
🔴 Bearish
47%
-9.8% … -4.8%
Typical timeframe (based on real historical rates clearing a 60% bar): 10 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 +2.7%.
Echo #1 — Trend Acceleration
8 occurrence(s) · 63% 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 | 53% (30%–75%) | +2.9% | -1.1% … +5.7% | +1.2% |
| 10D | 73% (48%–89%) | +2.6% | +0.6% … +10.3% | +2.3% |
| 20D | 53% (30%–75%) | +2.7% | -6.4% … +12.6% | +3.9% |
| 40D | 53% (30%–75%) | +1.3% | -1.6% … +12.1% | +8.2% |
| 60D | 73% (48%–89%) | +9.8% | +1.5% … +17.6% | +12.2% |
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 |
|---|---|---|---|---|
| 2021-02-02 | 90/100 | Uptrend | -5.5% | +13.0% |
| 2018-03-08 | 89/100 | ✓ Uptrend | -11.2% | +9.8% |
| 2025-10-24 | 88/100 | Uptrend | -4.0% | -0.8% |
| 2017-10-02 | 87/100 | Uptrend | +13.9% | +10.2% |
| 2018-07-25 | 87/100 | Consolidation | +4.3% | -4.9% |
| 2019-12-09 | 86/100 | Uptrend | +13.3% | +25.4% |
| 2020-02-04 | 85/100 | Uptrend | +15.1% | +18.3% |
| 2023-12-08 | 84/100 | Uptrend | +11.9% | +95.1% |
| 2025-09-18 | 84/100 | Consolidation | +3.2% | -0.7% |
| 2025-10-10 | 83/100 | ✓ Uptrend | +2.7% | +3.2% |
| 2025-06-23 | 83/100 | Uptrend | +15.9% | +18.1% |
| 2026-06-04 | 83/100 | Uptrend | -10.6% | +1.0% |
| 2026-02-20 | 83/100 | ✓ Uptrend | -9.0% | +17.1% |
| 2026-01-15 | 82/100 | Consolidation | -2.3% | +5.1% |
| 2026-05-19 | 81/100 | Uptrend | -7.2% | +2.1% |
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 XLK (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
as of 09/10/202668
This Week
73
7D Ago
↓ -5
Weakening
Technical
59
7D Ago: 79
↓ -20
Fundamental
83
7D Ago: 83
→ 0
Growth
74
7D Ago: 74
→ 0
Valuation
45
7D Ago: 45
→ 0
News
98
7D Ago: 98
→ 0
Quality
63
7D Ago: 63
→ 0
Risk
62
7D Ago: 62
→ 0
Biggest Declines
📊 Score History
68
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
22d ago · $227.98
Evidence: FOMO score jumped from 10 to 44 day-over-day
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
68 / 100
🐻 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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of September 4, 2026
Then
74
$228.45
Now
68
$222.27
What happened since
Signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
74
Quality
63
Value
45
Momentum
59
Risk
62
Sentiment
98
Fundamental
83
Institutional
0
Stocks with a similar DNA right now
SCANNING NVDA...
Recent media coverage of Nvidia has centered on its dominant position in the AI market, particularly through partnerships like the one with OpenAI, which has driven significant demand for its hardware. A notable highlight includes Nvidia-backed Firmus surpassing 900 megawatts of power capacity due to OpenAI’s deal. Additionally, there was a report of a Nvidia director selling $410 million in shares, reflecting some internal activity. The broader AI sector, including Nvidia, is frequently linked to technological and market momentum, though the provided sources do not offer extensive details beyond these key points.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Nvidia. News trend score: 98. Reason: 10 of the last 20 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
23
🎯 Conviction (vs. Emotion)
43
Psychology
26
Fundamentals
83
Technical
59
Valuation
45
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 price rise has far outpaced the actual improvement in fundamental data.
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)
+5%
Market Narrative
66
Fundamental Reality
43
Narrative Gap
+23
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
NVDA’s psychology is fragmented, with no single dominant state but herding (-2.0% vs. peers) as the highest score. The narrative gap (16) suggests traders may be overestimating fundamentals relative to price action. Herding behavior—evidenced by underperformance—implies cautious imitation rather than aggressive chasing. The lack of panic or confirmation bias suggests discipline, but anchoring near resistance could cap upside. The key question: *Will relative underperformance persist, or will momentum reassert?*
Updated: 09/09/2026, 12:49 PM
What could change this?
👥 What the crowd believes
"OpenAI Hands Nvidia Fresh Win in Surging AI Market"
"Nvidia-Backed Firmus Passes 900 Megawatts With OpenAI Deal"
"Quantum Cyber Acquires NVIDIA A100 AI Compute Cluster to Power Its Swarm Operating System"
📈 24D 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
Walter Bagehot — 100/100
🔴 Weakest match
Jack Schwager — 18/100
🗣️ Why do they disagree?
Based on the documented principles of each methodology, the model estimates that investors focused on liquidity and long‑term growth—such as Bagehot, Smith, Fisher and Lynch—assign very high scores to NVDA, reflecting their emphasis on strong cash positions, durable competitive advantages and unmet growth potential. In contrast, value‑oriented frameworks like Graham’s defensive and enterprising criteria, as well as Schwager’s disciplined trading setup, give the stock low scores because they prioritize cheapness, margin of safety and clear technical patterns, which NVDA does not satisfy. Mid‑range scores from Nelson, Loeb, Mackay, Veblen, Housel and Marks highlight mixed views on cycle positioning, crowd sentiment, profit conversion and market expectations, indicating that these investors see both attractive and cautionary signals. The efficient‑market perspective of Malkiel & Bogle further moderates enthusiasm, suggesting that the evidence for out‑performing an index is not compelling despite the strong qualitative attributes noted by the more growth‑biased schools.
Walter Bagehot
Lombard Street (1873)
🟢 100
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 94
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 93
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 92
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 71
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟢 66
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?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 61
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 55
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
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 53
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 47
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
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)
🟡 40
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 40
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 (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 31
Looks late-cycle — the position Marks would treat with extra caution
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)
🔴 18
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 (5 bullish · 4 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 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.
Gross Margin
71.1%
Operating Margin
60.4%
Net Margin
55.6%
EBITDA Margin
61.7%
ROE
76.3%
ROA
58.1%
ROIC
—
EPS
$4.93
Cash
$10.61B
Total Debt
$8.47B
Current Ratio
3.91
Debt/Equity
0.05
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 10.9.2026 | $0.250 |
| 4.6.2026 | $0.250 |
| 3.6.2026 | $0.250 |
| 11.3.2026 | $0.010 |
| 10.3.2026 | $0.010 |
| 4.12.2025 | $0.010 |
| 3.12.2025 | $0.010 |
| 11.9.2025 | $0.010 |
| 10.9.2025 | $0.010 |
| 11.6.2025 | $0.010 |
| 10.6.2025 | $0.010 |
| 12.3.2025 | $0.010 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$6.42
Tangible Book Value per Share (Tangible NAV)
$5.43
Sentiment based on basic keywords (not AI) — 10 positive, 8 neutral, 2 negative out of the last 20 articles.
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Nvidia (NVDA) currently has a StockIQ AI score of 68/100, 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.
NVDA currently scores 68/100 (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.
NVDA's technical score is 59/100, 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: Revenue growth (last year): 65.5%; Earnings per share (EPS) growth: 66.7%; Net income growth: 64.7%.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; P/E: 45.4; Price is below the SAR point — downtrend.
Yes — NVDA 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 17 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Parker Nicholas P. | Grant/Award from Employer | 9.9.2026 | 172,507 | +172,507 | — |
| STEVENS MARK A | Open Market Sale | 4.9.2026 | 4,611 | -4,611 | $234.00 |
| STEVENS MARK A | Open Market Sale | 4.9.2026 | 182,628 | -182,628 | $233.46 |
| STEVENS MARK A | Open Market Sale | 4.9.2026 | 197,180 | -197,180 | $230.40 |
| STEVENS MARK A | Open Market Sale | 4.9.2026 | 237,820 | -237,820 | $231.17 |
| STEVENS MARK A | Open Market Sale | 3.9.2026 | 200,000 | -200,000 | $229.87 |
| STEVENS MARK A | Open Market Sale | 3.9.2026 | 198,707 | -198,707 | $227.70 |
| STEVENS MARK A | Open Market Sale | 3.9.2026 | 1,293 | -1,293 | $228.27 |
| COXE TENCH | Gift | 2.9.2026 | 500,000 | -500,000 | — |
| STEVENS MARK A | Open Market Sale | 2.9.2026 | 300,000 | -300,000 | $226.27 |
| STEVENS MARK A | Open Market Sale | 2.9.2026 | 300,000 | -300,000 | $224.07 |
| STEVENS MARK A | Open Market Sale | 2.9.2026 | 300,000 | -300,000 | $222.92 |
| STEVENS MARK A | Open Market Sale | 2.9.2026 | 300,000 | -300,000 | $220.08 |
| STEVENS MARK A | Open Market Sale | 1.9.2026 | 63,501 | -63,501 | $220.06 |
| Teter Timothy S. | Open Market Sale | 31.8.2026 | 9,395 | -9,395 | $218.53 |
| STEVENS MARK A | Open Market Sale | 31.8.2026 | 447,400 | -447,400 | $220.10 |
| Teter Timothy S. | Open Market Sale | 31.8.2026 | 13,913 | -13,913 | $217.95 |
| STEVENS MARK A | Open Market Sale | 31.8.2026 | 137,600 | -137,600 | $220.91 |
| Teter Timothy S. | Open Market Sale | 31.8.2026 | 6,692 | -6,692 | $216.84 |
| NORA JOHNSON SUZANNE M | Grant/Award from Employer | 10.8.2026 | 1,148 | +1,148 | — |
| NORA JOHNSON SUZANNE M | Grant/Award from Employer | 10.8.2026 | 1,262 | +1,262 | — |
| COXE TENCH | Gift | 5.8.2026 | 500,000 | -500,000 | — |
| COXE TENCH | Gift | 1.7.2026 | 500,000 | -500,000 | — |
| COXE TENCH | Gift | 1.7.2026 | 25,171,360 | -500,000 | — |
| Dabiri John | Grant/Award from Employer | 25.6.2026 | 1,211 | +1,211 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
298,301,619 shares short as of 2026-08-31 · vs. 292,667,375 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
41.1% of trading volume this week was short selling, vs. 38.8% 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