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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Retail · ·
36.83 ₪
▲ 0.25 ₪ (+0.7%)
Market data updated: 09/17 05:48 PM
News analyzed: 09/17/2026
Market Cap
Not available
Day Range
36.58 ₪ - 37.03 ₪
52-Week Range
36.11 ₪ - 50.80 ₪
Beta
—
Next Earnings
—
-9.3% (1Y)
🔴 Weak
Strengths: 0/13 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
No notable strengths identified.
Computed directly from the same signals behind the score above — not AI-generated.
Biggest negative driver
Price vs. SMA 50
Price is below the 50-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 SAE.TA carries an investorScore of 28 and a rating of WEAK, reflecting a generally unfavorable outlook based on the available metrics. Technical analysis shows a mixed picture: the price sits below both the 50‑day and 200‑day simple moving averages, indicating recent downward pressure, while the recent crossover of the 50‑day SMA above the 200‑day SMA offers a modest bullish signal. Momentum indicators further complicate the view, with a negative MACD histogram suggesting falling momentum and an RSI of 25.7 that marks the stock as oversold. Over the past three months the stock has underperformed the index by -20.3%, reinforcing the weak stance. News‑related evidence is currently absent, leaving no catalyst from press coverage, and risk metrics present moderate concerns: the ATR of 3.4% highlights notable price volatility, and the Calmar ratio of 1.05 (derived from a 3‑year annualized return of 28.2% and a max drawdown of 26.9%) indicates a balanced risk‑adjusted performance. Together, these factors justify the low investorScore and the WEAK rating, as the stock faces clear technical headwinds and recent underperformance despite a small technical crossover and a decent risk‑adjusted return. The absence of news signals means the current trajectory is driven primarily by technical and risk dynamics.
Technical data shows the stock trading below both the 50‑day and 200‑day moving averages, yet the 50‑day SMA has just crossed above the 200‑day SMA, and momentum indicators reveal a negative MACD histogram with an oversold RSI of 25.7.
These mixed signals influence short‑term price direction and momentum assessment.
No news evidence is provided, leaving the stock's coverage neutral and without recent catalysts.
The lack of news means current price movement is driven by technical and risk factors alone.
Risk metrics include an ATR of 3.4% of price, indicating moderate volatility, and a Calmar ratio of 1.05, reflecting a 3‑year annualized return of 28.2% versus a max drawdown of 26.9%.
These figures highlight the stock's volatility and risk‑adjusted performance profile.
StockIQ conclusion
SAE.TA’s low investorScore and WEAK rating stem from mixed technical signals, recent underperformance, and moderate risk metrics. While a short‑term bullish crossover exists, the stock’s position below key averages and oversold momentum offset any positive momentum. The absence of news coverage and limited risk‑adjusted data mean the outlook remains cautious, emphasizing the need for monitoring price action and any upcoming catalysts that could alter the current technical trajectory.
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
23
Today
—
30D
—
90D
—
1Y
🐂🐻 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
6
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 SAE.TA...
🌡️ Emotional Temperature
15
🎯 Conviction (vs. Emotion)
50
Psychology
63
Fundamentals
—
Technical
6
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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)
-15%
Market Narrative
40
Fundamental Reality
50
Narrative Gap
-10
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior (81) suggests traders are fixated on the 1.0% support level, likely due to its proximity. While loss aversion (24) hints at lingering reluctance from prior declines, panic selling (43) remains muted despite oversold conditions. The narrative gap (-17) implies traders may be underestimating current fundamentals relative to price action. The key question: *Will traders break support or hold near the anchor?*
Updated: 09/06/2026, 11:03 PM
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 — 100/100
🔴 Weakest match
Jesse Livermore — 31/100
🗣️ Why do they disagree?
This stock’s divergent verdicts reflect stark contrasts between methodologies that rely on macro or cyclical signals versus those requiring granular, data-rich analysis. The highest-scoring approaches—Mackay’s absence of crowd mania, Smith’s lack of dividend/growth data, and Nelson’s favorable cycle positioning—suggest a consensus that the stock isn’t in a speculative bubble or late-cycle trap, with its valuation appearing relatively undistorted. Meanwhile, Fisher, Graham, and Lynch’s near-unanimous ‘50’ scores stem from a simple reality: their frameworks demand deep fundamental or growth data, which isn’t available here, leaving them unable to form a concrete opinion. The middle ground—Marks (cycle), Schwager (disciplined setup), and Loeb (moderate risk)—balances optimism with caution, while the lowest scores (Livermore’s trend resistance and Housel’s volatility) flag red flags for traders who prioritize momentum or patience. The divide underscores how some investors thrive on broad market context, while others need granularity to act.
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
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 94
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 (Market Cycle)
Mastering the Market Cycle (2018)
🟢 91
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
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
Jack Schwager
Market Wizards (1989)
🟢 76
A real, disciplined setup with favorable reward/risk
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)
🟡 54
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)
🟡 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%
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 50
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
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%
Morgan Housel
The Psychology of Money (2020)
🟡 41
Moderate — holdable, but not effortless
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 31
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 252 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 11 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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 8.9.2026 | 67.465 ₪ |
| 14.4.2026 | 148.436 ₪ |
| 13.4.2026 | 148.436 ₪ |
| 28.9.2025 | 67.497 ₪ |
| 27.9.2025 | 67.497 ₪ |
| 9.4.2025 | 135.099 ₪ |
| 8.4.2025 | 135.099 ₪ |
| 4.4.2024 | 67.748 ₪ |
| 3.4.2024 | 67.748 ₪ |
| 4.4.2022 | 52.714 ₪ |
| 3.4.2022 | 52.714 ₪ |
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 Shufersal Ltd (SAE.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 SAE.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.
SAE.TA's technical score is 6/100, 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 below the 50-day average; Price is below the 200-day average; MACD histogram is negative — falling momentum.
Yes — SAE.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