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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Infrastructure · ·
21.51 ₪
▲ 0.75 ₪ (+3.6%)
Market data updated: 09/19 07:18 AM
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
20.63 ₪ - 21.74 ₪
52-Week Range
8.74 ₪ - 26.29 ₪
Beta
—
Next Earnings
—
Support
17.38 ₪
Resistance
22.90 ₪
+166.0% (1Y)
🟡 Moderate
Strengths: 7/13 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
🟡 Mixed
Technical Trend
🟢 Bullish
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
MACD
MACD histogram is negative — falling momentum
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.
KSTN.TA exhibits a strong technical foundation, supported by multiple bullish indicators that collectively drive its high overall score of 79. The stock’s price remains firmly above both its 50-day and 200-day moving averages, while the recent crossover of the 50-day SMA over the 200-day SMA signals a potential shift toward an uptrend. Momentum is further validated by a positive MACD histogram and an RSI of 70.0, indicating healthy upward momentum without extreme overvaluation. However, the %K reading at 99.0 suggests the stock is nearing overbought territory, which could introduce short-term volatility. News and risk factors are less pronounced, with no recent news data available and moderate risk metrics—an ATR of 3.6% and a Calmar ratio of 1.59—highlighting a historically volatile but high-reward profile over the past three years.
The stock demonstrates robust bullish momentum, with price above both 50-day and 200-day moving averages, a recent SMA crossover, positive MACD, and an RSI of 70.0—all pointing to strong upward momentum.
Technical strength is critical for validating sustained price appreciation and reducing the likelihood of a near-term reversal.
No recent news data is available to assess fundamental catalysts or market sentiment.
Lack of news data means the analysis relies solely on price action, leaving potential external influences unaccounted for.
The stock exhibits moderate volatility (ATR: 3.6%) and a historically high reward-to-risk ratio (Calmar: 1.59), reflecting significant drawdowns (32.5%) alongside strong returns (51.8% annualized).
High volatility and drawdowns indicate potential for sharp price swings, requiring careful risk management.
StockIQ conclusion
KSTN.TA’s investor score of 79 reflects a strong technical profile, underpinned by clear bullish signals and historical outperformance. While the lack of news data and overbought conditions introduce caution, the stock’s resilience above key moving averages and positive momentum suggest a favorable short-to-medium-term outlook. However, the high volatility and unconfirmed fundamentals necessitate vigilance, particularly for traders sensitive to drawdowns or external shocks.
Written automatically from the computed data shown on this page only — not investment advice.
🗓️ What Changed This Week
as of 09/10/202663
This Week
74
7D Ago
↓ -11
Weakening
Technical
70
7D Ago: 89
↓ -19
News
50
7D Ago: 50
→ 0
Risk
50
7D Ago: 50
→ 0
Biggest Declines
📊 Score History
63
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
13d ago · $21.53
Evidence: FOMO score jumped from 30 to 58 day-over-day
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
63 / 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 10, 2026
Then
74
$22.39
Now
63
$21.51
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
No data available
Quality
No data available
Value
No data available
Momentum
70
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 KSTN.TA...
🌡️ Emotional Temperature
30
🎯 Conviction (vs. Emotion)
50
Psychology
33
Fundamentals
—
Technical
70
Valuation
—
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Extreme momentum, price far above its moving average, and a large premium over fair value.
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+6%
Market Narrative
48
Fundamental Reality
50
Narrative Gap
-2
🧠 StockIQ Psychologist
The market behavior here is dominated by **anchoring**, as traders appear fixated on the 1.8% gap below resistance, despite moderate momentum (+26.3% ROC) and neutral sentiment. FOMO is present but tempered by overbought conditions (RSI 71) and no extreme euphoria. The key question is whether traders will break through resistance or retreat to the anchor level, given the narrow gap. The narrative-reality gap (18 points) suggests optimism may outpace tangible fundamentals, but anchoring could limit aggressive moves until clarity emerges.
Updated: 09/09/2026, 01:25 PM
What could change this?
🧠 Market Brain events driving 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 — 68/100
🔴 Weakest match
Morgan Housel — 6/100
🗣️ Why do they disagree?
This stock’s divergent verdicts reveal stark contrasts between methodologies that prioritize price action and those that demand deeper fundamental or cyclical analysis. Jesse Livermore’s high score (81) reflects his focus on positive trend momentum, suggesting the stock’s price movement aligns with his technical criteria. Meanwhile, Howard Marks (67) and Gerald Loeb (41) offer a nuanced risk assessment—Marks sees reasonable risk pricing, while Loeb flags moderate capital risk, hinting at a middle-ground caution. On the opposite end, Samuel Nelson’s zero score and Morgan Housel’s low rating (15) highlight concerns about overvaluation and volatility, respectively, while the Graham, Fisher, and Lynch methodologies all default to ‘not enough data’ due to insufficient fundamentals or growth signals. The divide underscores whether the stock’s appeal lies in its price trajectory (Livermore) or whether its risks outweigh its potential (Nelson/Housel), with most value-based approaches lacking the data to form a definitive opinion.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 100
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 68
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)
🟡 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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 56
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
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%
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 50
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 (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%
Jack Schwager
Market Wizards (1989)
🟡 47
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 45
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 42
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 38
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
Morgan Housel
The Psychology of Money (2020)
🔴 6
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 254 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (7 bullish · 2 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.
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 |
|---|---|
| 25.6.2026 | 12.225 ₪ |
| 24.6.2026 | 12.225 ₪ |
| 13.4.2026 | 12.231 ₪ |
| 12.4.2026 | 12.231 ₪ |
| 19.1.2026 | 11.086 ₪ |
| 18.1.2026 | 11.086 ₪ |
| 20.10.2025 | 11.202 ₪ |
| 19.10.2025 | 11.202 ₪ |
| 23.7.2025 | 10.684 ₪ |
| 22.7.2025 | 10.684 ₪ |
| 9.4.2025 | 10.684 ₪ |
| 8.4.2025 | 10.684 ₪ |
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 Keystone Infrastructure Ltd (KSTN.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 KSTN.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.
KSTN.TA's technical score is 70/100, which currently reads as bullish — 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; Price is above the 200-day average; RSI 56.7 — healthy positive momentum.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; Price is below the SAR point — downtrend.
Yes — KSTN.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