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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
1,057.40 ₪
▲ 17.00 ₪ (+1.6%)
Market data updated: 09/18 07:37 PM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
1,043.50 ₪ - 1,069.40 ₪
52-Week Range
920.40 ₪ - 1,795.00 ₪
Beta
—
Next Earnings
—
NVMI.TA is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+9.5% (1Y)
🔴 Weak
Strengths: 1/13 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
🔴 Bearish
Technical Trend
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
MACD
MACD histogram is positive — rising momentum
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 4.6% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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.
NVMI.TA’s overall score of 27, classified as **WEAK**, reflects a pronounced technical and risk profile overshadowing any visible fundamental or news-based strength. The stock’s price sits firmly below both its 50-day (14.0%) and 200-day (23.5%) moving averages, signaling a sustained bearish trend, while the negative MACD histogram and RSI (43.6) indicate weakening momentum and neutral-to-bearish sentiment. The ATR (4.9% of price) and extreme volatility metrics (Calmar ratio of 0.73, with a 42.5% max drawdown over a 30.9% annualized return) highlight significant risk, particularly for investors sensitive to volatility or drawdowns. Despite a neutral news score (50), the absence of positive narratives or catalysts further compounds the negative outlook, as the stock has underperformed the index by **20.8%** over the last three months. The data suggests a stock under pressure from multiple technical and risk-related factors, with little immediate support from external developments.
The stock’s price is below both the 50-day and 200-day moving averages, the MACD histogram is negative, and the RSI (43.6) indicates weak momentum, while %K (36.3) remains neutral.
These technical signals collectively suggest a bearish trend with declining momentum, which is critical for short-term trading and investor sentiment.
The news score is 50, but there are no specific positive or negative news items provided in the evidence, indicating a neutral or data-sparse environment.
Lack of news-driven catalysts means the stock’s performance relies entirely on technical and risk factors, amplifying volatility sensitivity.
The ATR (4.9% of price) and Calmar ratio (0.73) reveal high volatility and a historically extreme drawdown (42.5%) relative to returns (30.9% annualized).
These metrics signal elevated risk, particularly for investors seeking stability or lower drawdown exposure.
StockIQ conclusion
NVMI.TA’s weak score of 27 stems from a confluence of bearish technical signals, elevated risk metrics, and underperformance relative to its index. While the stock has delivered strong annualized returns historically, its current volatility, negative momentum, and lack of news-driven support create a challenging environment for investors. The absence of positive catalysts and extreme drawdown risk suggest caution is warranted, though potential upside remains speculative without clear catalysts or market shifts.
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
30
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
17d ago · $1,017.00
Evidence: Panic-selling score jumped from 20 to 46 day-over-day
What happened after
🐂🐻 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
19
Risk
42
Sentiment
50
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.
SCANNING NVMI.TA...
🌡️ Emotional Temperature
6
🎯 Conviction (vs. Emotion)
50
Psychology
93
Fundamentals
—
Technical
19
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
-39%
Market Narrative
43
Fundamental Reality
50
Narrative Gap
-7
🧠 StockIQ Psychologist
The market behavior here is dominated by **herding**, as NVMI.TA’s +10.0% gain today exceeds peer performance (+5.9%), signaling coordinated buying. Loss aversion (35) hints at lingering caution due to the -27.1% decline over three months, but elevated volume (1.67x) doesn’t yet reflect panic. The narrative gap (-9) suggests reality (realityScore 50) slightly outweighs sentiment, implying a measured response rather than irrational exuberance. The key question: *Will herding sustain momentum, or will loss aversion trigger profit-taking?*
Updated: 09/08/2026, 12:47 AM
What could change this?
📈 12D 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 — 100/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
Based on Charles Mackay's documented principles, the model estimates no obvious crowd mania, giving a perfect score, while Howard Marks (both cycle and general) sees the stock early‑to‑mid cycle and reasonably priced, resulting in high scores of 99 and 73. In contrast, Jack Schwager’s rule‑based edge assessment yields a modest 63 with no clear advantage, and the classic value‑oriented investors such as Graham, Fisher, Lynch, and Bagehot each receive a neutral 50 because the required balance‑sheet or growth data are missing. More risk‑averse frameworks like Livermore, Loeb, and the efficient‑market view of Malkiel/Bogle assign low scores (34, 26, and 31) reflecting a negative trend, capital‑risk concerns, and a preference for index exposure. Finally, Morgan Housel’s volatility focus results in a zero score, indicating that the stock’s price swings would likely deter patient holders.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 100
No obvious signs of crowd mania
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)
🟢 99
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 91
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 73
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 63
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
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
Not enough growth/insider data for a real Veblen read
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
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%
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 34
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 31
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 26
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
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)
🔴 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 253 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 10 bearish · 0 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.
Medium 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.
Sentiment based on basic keywords (not AI) — 0 positive, 0 neutral, 0 negative out of the last 0 articles.
No recent articles found for this stock.
StockIQ doesn't currently have enough real data to compute a reliable score for Nova Ltd. (NVMI.TA) — 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 NVMI.TA 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.
NVMI.TA's technical score is 19/100, 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: MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: ATR: 4.6% of price; Price is below the 50-day average; Price is below the 200-day average.
StockIQ has no recorded dividend payment history for NVMI.TA.
Full breakdown of every data type and its source: Data Sources · Methodology