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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
128.20 ₪
▲ 0.00 ₪ (+0.0%)
Market data updated: 09/20 03:06 PM
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
126.20 ₪ - 129.00 ₪
52-Week Range
102.80 ₪ - 157.10 ₪
Beta
—
Next Earnings
—
Support
115.20 ₪
Resistance
141.90 ₪
ARGO.TA is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
+22.7% (1Y)
🟡 Moderate
Strengths: 2/12 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.
ARGO.TA’s overall investor score of 66 reflects a mixed technical backdrop with moderate risk and limited news-driven momentum. The technical category scores strongly (75) due to clear bullish signals—price holding above both the 50-day and 200-day moving averages, a positive MACD histogram indicating rising momentum, and an ADX of 36.3 suggesting a strong trend. However, the RSI (78.2) and %K (98.8) readings signal overbought conditions, which may hint at near-term consolidation or reversal pressure. The risk category (50) highlights volatility (ATR: 3.6%) and a historically high Calmar ratio (1.73), reflecting strong returns (40.7% annualized) but with significant drawdown risk (23.5%). The news category (50) lacks specific data, implying either limited recent developments or a neutral sentiment baseline. Together, these factors create a nuanced picture: technical strength is present, but overbought conditions and volatility warrant caution, while the absence of news-driven catalysts leaves the trajectory dependent on future data.
Price exceeds both 50-day and 200-day moving averages, with positive MACD momentum and strong ADX (36.3), but RSI (78.2) and %K (98.8) indicate overbought territory.
This suggests a robust uptrend with potential for continued gains, though overbought metrics may signal impending pullback or correction.
No evidence or news data provided; the category defaults to a neutral baseline score of 50.
Lack of news-driven catalysts means the stock’s trajectory relies entirely on technical performance and market sentiment.
ATR (3.6%) indicates moderate volatility, while a Calmar ratio of 1.73 (3-year annualized return: 40.7%, max drawdown: 23.5%) suggests high reward but elevated risk exposure.
The strong returns come with significant drawdown risk, which could impact investor confidence during market downturns.
StockIQ conclusion
ARGO.TA exhibits strong technical fundamentals with price above critical moving averages and positive momentum indicators, though overbought conditions and volatility present near-term risks. The lack of news-driven catalysts means the stock’s performance remains dependent on technical trends and market sentiment. While historical returns are robust, the elevated drawdown risk and relative underperformance in the past three months suggest caution is warranted. Investors should monitor overbought metrics and news developments for potential shifts in 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
40
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
34
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 ARGO.TA...
🌡️ Emotional Temperature
11
🎯 Conviction (vs. Emotion)
50
Psychology
50
Fundamentals
—
Technical
34
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.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price (3M)
-8%
Market Narrative
36
Fundamental Reality
50
Narrative Gap
-14
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior reflects traders fixating on the 0.2% proximity to resistance, likely using it as a psychological anchor for trade decisions. FOMO and euphoria coexist, driven by strong momentum and overbought conditions, but the narrative gap (11 points) hints at a disconnect between optimistic expectations and neutral sentiment. The key question is whether traders will hold or adjust positions as the stock tests resistance, given the lack of extreme volatility or panic signals. Herding remains muted, suggesting selective participation rather than broad contagion.
Updated: 09/08/2026, 02:24 AM
What could change this?
📈 11D 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 — 96/100
🔴 Weakest match
Morgan Housel — 18/100
🗣️ Why do they disagree?
The methodologies here reveal a stark divide between momentum-driven and fundamental/cycle-aware approaches. Jesse Livermore’s high score reflects his focus on price action and trends, where ARGO.TA appears to fit his criteria for a positive trend. Meanwhile, Howard Marks’ moderate score suggests he sees manageable risk but no clear cycle advantage, while Samuel Armstrong Nelson’s near-zero score flags overbought conditions in the cycle, aligning with his cautionary stance. The middle-ground methodologies—like Gerald M. Loeb’s moderate risk assessment or Jack Schwager’s neutral stance—highlight uncertainty, whereas the low scores from Morgan Housel and the efficient-market camp underscore volatility and weak stock-specific evidence. The lack of data for Graham, Fisher, or Lynch leaves their frameworks unable to form a definitive view, while Veblen’s neutral score hints at insufficient growth or insider signals. The contrast between Livermore’s bullish price-driven view and Nelson’s bearish cycle warning encapsulates the tension between technical and macro perspectives.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 96
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)
🟢 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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 71
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)
🟢 65
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
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)
🟡 42
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 40
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)
🔴 35
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 18
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
Morgan Housel
The Psychology of Money (2020)
🔴 18
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
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 255 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 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.
A pattern consistent with an early/mid distribution phase — a trading range after an advance with declining volume.
Medium confidence
115.20 ₪
Range Bottom
141.90 ₪
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 Argo Properties N.V. (ARGO.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 ARGO.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.
ARGO.TA's technical score is 34/100, 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; CMF 20 days: 0.12.
Based on the real signals StockIQ computed: Price is below the 200-day average; MACD histogram is negative — falling momentum; -1.8% over the last 3 months relative to the index.
StockIQ has no recorded dividend payment history for ARGO.TA.
Full breakdown of every data type and its source: Data Sources · Methodology