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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Hospitality · ·
132.00 ₪
▲ 0.00 ₪ (+0.0%)
Market data updated: 09/19 05:16 PM
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
128.20 ₪ - 135.50 ₪
52-Week Range
113.40 ₪ - 189.20 ₪
Beta
—
Next Earnings
—
Support
113.40 ₪
Resistance
140.30 ₪
+30.0% (1Y)
🟡 Moderate
Strengths: 3/13 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
🔴 Bearish
Technical Trend
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Price vs. SMA 200
Price is below the 200-day average
Technical
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.
The stock ISRO.TA carries an investorScore of 53 and a MODERATE rating, reflecting a balanced mix of positive and negative signals across the dataset. Technical analysis contributes a score of 57, driven by price sitting above the 50‑day average and the SAR point, a rising MACD histogram, an RSI of 61.4, and a 12‑day ROC of 6.1%, all indicating upward momentum. However, the same technical category flags concerns: price remains below the 200‑day average, stochastic %K is at 98.6 (overbought), and the CMF is negative, suggesting potential exhaustion. The risk category scores 42, highlighted by an ATR of 3.8% of price and a low Calmar ratio of 0.46 (3‑year annualized return 17.2% vs. max drawdown 37.8%), implying high volatility and notable downside exposure. News evidence is absent, limiting qualitative insight. Overall, the moderate score emerges from these mixed technical strengths offset by below‑average price positioning, overbought conditions, and elevated risk metrics.
Technical indicators show mixed signals: price trades above the 50‑day average and the SAR point, with positive MACD histogram, RSI at 61.4 and a 12‑day ROC of 6.1%, indicating upward momentum. However, the price also lies below the 200‑day average and the stochastic %K is at 98.6, suggesting overbought conditions.
These divergences affect trend reliability and highlight potential reversal risk.
No news evidence was provided in the dataset, leaving a gap in qualitative assessment.
The absence of news limits ability to gauge sentiment or upcoming catalysts.
Risk metrics show an ATR of 3.8% of price and a Calmar ratio of 0.46, indicating modest return relative to drawdown. The large maximum drawdown of 37.8% against a 3‑year annualized return of 17.2% suggests high volatility.
Elevated volatility and drawdowns increase potential loss exposure.
StockIQ conclusion
ISRO.TA presents a moderate outlook with technical strength in short‑term momentum offset by longer‑term price weakness and elevated risk. The absence of news data restricts a fuller assessment. The current rating reflects these balanced influences, suggesting careful monitoring of trend continuity and risk evolution.
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
43
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
14d ago · $136.40
Evidence: FOMO score jumped from 32 to 59 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
39
Risk
50
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 ISRO.TA...
🌡️ Emotional Temperature
4
🎯 Conviction (vs. Emotion)
50
Psychology
5
Fundamentals
—
Technical
39
Valuation
—
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.
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
-7%
Market Narrative
43
Fundamental Reality
50
Narrative Gap
-7
🧠 StockIQ Psychologist
The market’s dominant anchoring behavior suggests traders are fixated on the 0.6% resistance gap, likely treating it as a near-term target or barrier. FOMO is present but muted by neutral sentiment and modest euphoria, while the lack of volatility or panic signals indicates no extreme distress. The narrative gap (61 vs. 50) hints at overoptimistic expectations, but the data shows no clear catalyst beyond technical proximity to resistance. The key question: *Will traders break the anchor, or will the 0.6% gap hold as a psychological barrier?*
Updated: 09/06/2026, 06:06 AM
What could change this?
📈 10D 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 — 94/100
🔴 Weakest match
Jesse Livermore — 13/100
🗣️ Why do they disagree?
Based on their documented principles, the model estimates that Mackay’s very high score (91) and Marks’s solid score (77) reflect confidence that there is no crowd mania and that risk appears reasonably priced. The mid‑range scores from Smith (71) and Marks‑cycle (68) indicate a neutral to mildly positive view, citing limited dividend/growth data and an early‑to‑mid cycle positioning. Classic value and growth investors such as Graham, Fisher, Lynch, Bagehot, Veblen, and Graham‑enterprising all sit at the default 50 score, which the model interprets as a neutral placeholder caused by insufficient balance‑sheet or fundamentals data rather than a clear endorsement. In contrast, the more risk‑averse or technical methodologies—Loeb (47), the efficient‑market view (36), Housel (33), Nelson (28), Livermore (26), and Schwager (17)—trend lower, signaling concerns about moderate risk, volatility, an overbought cycle, negative trend, and a lack of a viable trading setup.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 94
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
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 77
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 71
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 69
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)
🟡 56
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
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%
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 47
Moderate risk 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)
🔴 34
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
Morgan Housel
The Psychology of Money (2020)
🔴 34
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
Jack Schwager
Market Wizards (1989)
🔴 16
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 13
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
Based on the last 255 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (3 bullish · 6 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.
High 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 |
|---|---|
| 14.4.2025 | 100.700 ₪ |
| 13.4.2025 | 100.700 ₪ |
| 7.9.2023 | 92.700 ₪ |
| 6.9.2023 | 92.700 ₪ |
| 5.9.2022 | 84.353 ₪ |
| 4.9.2022 | 84.353 ₪ |
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 Isrotel Ltd (ISRO.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 ISRO.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.
ISRO.TA's technical score is 39/100, 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: Price is above the 50-day average; RSI 54.5 — healthy positive momentum; CMF 20 days: 0.39.
Based on the real signals StockIQ computed: Price is below the 200-day average; MACD histogram is negative — falling momentum; -7.1% over the last 3 months relative to the index.
Yes — ISRO.TA has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Full breakdown of every data type and its source: Data Sources · Methodology