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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
53.67 ₪
▲ 0.00 ₪ (+0.0%)
Market data updated: 09/19 05:01 PM
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
53.62 ₪ - 54.93 ₪
52-Week Range
49.22 ₪ - 66.99 ₪
Beta
—
Next Earnings
—
Support
49.22 ₪
Resistance
57.94 ₪
ARPT.TA is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
-5.0% (1Y)
🟡 Moderate
Strengths: 1/12 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
Relative strength vs. S&P 500
+1.3% over the last 3 months relative to the index
Technical
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: -0.11 (3y annualized return -2.7% / max drawdown 24.2%)
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.
ARPT.TA’s **investorScore of 65** reflects a mixed but cautiously optimistic technical profile, tempered by elevated risk metrics and modest news sentiment. The stock demonstrates strong technical momentum, with its price firmly above both the 50-day and 200-day moving averages, alongside a positive MACD histogram and an ADX of 33.0 indicating a robust uptrend. However, the RSI (74.9) and %K (97.1) readings signal overbought conditions, which may suggest near-term consolidation or reversal pressure. Risk metrics are a significant drag, particularly the **Calmar ratio of 0.01**, highlighting a historically volatile performance with a 24.2% max drawdown over three years despite a paltry 0.4% annualized return. The lack of news-driven evidence further dampens the overall score, as there are no recent material developments to justify current valuation or future catalysts.
The stock exhibits clear bullish momentum with prices above key moving averages, a positive MACD, and a strong ADX reading, but overbought indicators (RSI 74.9, %K 97.1) suggest potential overvaluation or imminent pullback.
Technical strength signals investor confidence in the trend, but overbought conditions may limit upside or trigger short-term volatility.
There is no available news or fundamental evidence provided in the dataset to assess recent developments or market sentiment.
Lack of news data means the stock’s valuation lacks external validation or catalysts, relying solely on technicals and historical risk.
The stock’s **Calmar ratio of 0.01** and **24.2% max drawdown** indicate extreme volatility and poor risk-adjusted returns, while the ATR (2.4%) suggests moderate daily price swings.
High volatility and weak risk metrics imply significant downside potential during market stress, even if the trend is currently positive.
StockIQ conclusion
ARPT.TA’s profile is defined by **strong technical momentum but elevated risk and a lack of external validation**. The stock’s price resilience and positive momentum indicators suggest a bullish near-term outlook, though overbought conditions and poor risk-adjusted returns introduce caution. Without news-driven catalysts or improved fundamentals, the stock’s upside remains constrained by volatility and relative underperformance. Investors should monitor for technical pullbacks or fundamental developments that could alter the current cautious optimism.
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
33
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 · $57.26
Evidence: FOMO score jumped from 29 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
24
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 ARPT.TA...
🌡️ Emotional Temperature
13
🎯 Conviction (vs. Emotion)
50
Psychology
50
Fundamentals
—
Technical
24
Valuation
—
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.
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)
+3%
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 herding behavior suggests traders are aligning with peers rather than acting on independent signals. Momentum and volume are present but not extreme, while neutral sentiment and RSI rule out panic or euphoria. The key question is whether this synchronized movement reflects a shared thesis or merely a temporary correlation. Low volatility and minimal narrative-reality gap imply no immediate crisis or hype, but the absence of overconfidence or anchoring bias suggests no strong conviction either.
Updated: 09/09/2026, 05:23 AM
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 — 98/100
🔴 Weakest match
Jesse Livermore — 28/100
🗣️ Why do they disagree?
Based on their documented principles, the models estimate that Mackay’s crowd‑sentiment lens is overwhelmingly positive (score 98) while Nelson, Marks and the Marks‑cycle view see the stock as favorably placed in the cycle but only modestly attractive (scores in the high‑70s to mid‑60s). The more risk‑aware frameworks of Schwager, Housel, Loeb and the efficient‑market view hover around the 50‑55 range, indicating a neutral or holdable stance with no clear edge. Value‑oriented and growth‑oriented investors such as Graham, Fisher, Lynch, Bagehot, Veblen and the enterprising Graham variant all report insufficient data, resulting in flat 50 scores that reflect an inability to form a strong conviction. In contrast, Livermore’s trend‑following rule flags a negative outlook (score 28) and Smith’s dividend‑growth model also lacks data, underscoring how differing methodological emphases produce divergent conclusions about the same security.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 98
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 76
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)
🟢 70
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 67
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
Jack Schwager
Market Wizards (1989)
🟡 55
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 53
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 51
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%
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 28
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
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
Based on the last 254 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 8 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.
A pattern consistent with an early/mid distribution phase — a trading range after an advance with declining volume.
Medium confidence
49.22 ₪
Range Bottom
57.94 ₪
Range Top
50
Trading Days in Range
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 Airport City Ltd (ARPT.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 ARPT.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.
ARPT.TA's technical score is 24/100, 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: +1.3% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: Calmar: -0.11 (3y annualized return -2.7% / max drawdown 24.2%); Price is below the 50-day average; Price is below the 200-day average.
StockIQ has no recorded dividend payment history for ARPT.TA.
Full breakdown of every data type and its source: Data Sources · Methodology