Loading data...
Loading data...
Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
8.36 ₪
▼ 0.24 ₪ (-2.8%)
Market data updated: 09/18 08:14 AM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
8.30 ₪ - 8.63 ₪
52-Week Range
8.02 ₪ - 12.45 ₪
Beta
—
Next Earnings
—
SLARL.TA is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
-13.1% (1Y)
🟡 Moderate
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
CMF (money flow)
CMF 20 days: 0.14
Technical
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: 0.09 (3y annualized return 3.1% / max drawdown 34.2%)
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.
SLARL.TA’s overall investor score of 58 reflects a mixed technical and risk profile, tempered by a neutral news sentiment. The stock demonstrates short-term strength with a price above its 50-day moving average, positive MACD momentum, and rising volume, all of which suggest an active uptrend supported by increasing investor interest. However, the stock’s position below its 200-day average signals a longer-term divergence, while overbought indicators (RSI at 72.0 and %K at 89.9) hint at potential near-term consolidation. Risk metrics are notably weak, with a Calmar ratio of 0.21—indicating a high drawdown sensitivity (34.2% max drawdown over three years)—and an ATR of 2.5% of price, suggesting volatility could erode gains quickly. The lack of news-driven evidence further underscores a data-dependent, rather than narrative-driven, valuation.
The stock shows short-term strength with a price above the 50-day average, positive MACD momentum, and rising volume, but is overbought (RSI 72.0, %K 89.9) and below the 200-day average, indicating potential overvaluation in the near term.
Short-term momentum and volume support bullish sentiment, but overbought conditions and the 200-day divergence create structural risks for sustained gains.
No recent news or narrative-driven evidence exists to influence the stock’s valuation or sentiment.
The absence of news means the stock’s performance is purely technical and fundamental data-dependent, reducing external catalysts for movement.
The stock exhibits high volatility (ATR 2.5% of price) and a low Calmar ratio (0.21) due to a 34.2% max drawdown over three years, signaling fragility in downside protection.
These risk metrics suggest that while the stock may deliver returns, it carries a significant risk of sharp corrections, particularly in adverse market conditions.
StockIQ conclusion
SLARL.TA presents a nuanced profile with short-term technical strength offset by structural risks and volatility. While rising momentum and volume suggest potential for continued gains, overbought conditions and a high drawdown history introduce caution. The stock’s performance hinges entirely on technical execution without external support, making it vulnerable to corrections if momentum falters. Investors should monitor the 50-day average and overbought indicators closely, as these will determine whether the current rally sustains or reverses.
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
🐂🐻 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 SLARL.TA...
🌡️ Emotional Temperature
8
🎯 Conviction (vs. Emotion)
50
Psychology
10
Fundamentals
—
Technical
19
Valuation
—
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.
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)
-8%
Market Narrative
41
Fundamental Reality
50
Narrative Gap
-9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior (70) reflects traders fixating on the 1.5% resistance, likely due to its proximity. FOMO (48) is active but tempered by overbought conditions (RSI 72, Bollinger %B 0.95), suggesting momentum-driven buying may be fading. The narrative gap (5) is narrow, implying no extreme disconnect between market perception and fundamentals. The key question: will traders break resistance or retreat if momentum stalls?
Updated: 09/06/2026, 12:52 AM
What could change this?
📈 5D 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 — 15/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies due to the stark contrast between cautious and outright bearish signals. On one end, **Edgar Lawrence Smith** and **Charles Mackay** lean neutral to positive, with Smith’s 100 score reflecting a lack of obvious crowd-driven hype (though his verdict notes insufficient dividend/growth data), while Mackay’s 74 suggests no manic speculative frenzy. Meanwhile, **Howard Marks** (69) sees the risk as reasonably priced, though his market-cycle variant (51) flags mid-cycle caution. At the opposite extreme, **Samuel Armstrong Nelson**’s 1% score and ‘overbought’ verdict starkly contrast with the rest, signaling a potential bubble or cyclical peak. Most methodologies—Graham, Fisher, Lynch, and Bagehot—default to 50 due to missing data, but even **Morgan Housel** (50) and **Gerald Loeb** (48) treat it as a moderate-risk hold, while **Jesse Livermore** and **Burton Malkiel/Bogle** (41) dismiss it as unconvincing or index-beating. The debate hinges on whether the stock’s lack of clear fundamentals or speculative momentum (or both) makes it a neutral play or a speculative trap.
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)
🟢 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 (Market Cycle)
Mastering the Market Cycle (2018)
🟢 84
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)
🟢 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
Morgan Housel
The Psychology of Money (2020)
🟡 55
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
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)
🟡 49
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)
🟡 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
Jack Schwager
Market Wizards (1989)
🟡 36
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)
🔴 15
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 253 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 9 bearish · 1 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 |
|---|---|
| 17.8.2026 | 14.250 ₪ |
| 12.6.2026 | 14.250 ₪ |
| 11.6.2026 | 14.250 ₪ |
| 20.4.2026 | 14.250 ₪ |
| 19.4.2026 | 14.250 ₪ |
| 29.10.2025 | 14.250 ₪ |
| 28.10.2025 | 14.250 ₪ |
| 6.8.2025 | 14.250 ₪ |
| 5.8.2025 | 14.250 ₪ |
| 26.5.2025 | 14.250 ₪ |
| 25.5.2025 | 14.250 ₪ |
| 12.3.2025 | 14.000 ₪ |
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 Sella Real Estate Ltd (SLARL.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 SLARL.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.
SLARL.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: CMF 20 days: 0.14.
Based on the real signals StockIQ computed: Calmar: 0.09 (3y annualized return 3.1% / max drawdown 34.2%); Price is below the 50-day average; Price is below the 200-day average.
Yes — SLARL.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