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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Insurance · ·
184.70 ₪
▼ 2.00 ₪ (-1.1%)
Market data updated: 09/16 08:28 AM
News analyzed: 09/16/2026
Market Cap
Not available
Day Range
184.40 ₪ - 186.70 ₪
52-Week Range
102.70 ₪ - 201.30 ₪
Beta
—
Next Earnings
—
+61.2% (1Y)
🟡 Moderate
Strengths: 5/13 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
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Calmar Ratio (return vs. drawdown)
Calmar: 3.46 (3y annualized return 67.3% / max drawdown 19.4%)
Risk
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.
Phoenix Motor Corporation (PHOE.TA) exhibits a strong technical foundation, supported by clear bullish momentum indicators and structural price support. The stock’s recent break above both the 50-day and 200-day simple moving averages, coupled with the SMA 50 crossing above the SMA 200, signals a potential shift toward an uptrend. Additionally, the positive MACD histogram reinforces rising momentum, while the price remaining above key moving averages suggests sustained upward pressure. However, the RSI at 71.5 and %K at 91.9 indicate overbought conditions, which may signal impending volatility or a temporary pullback. The risk profile, though volatile, is mitigated by a Calmar ratio of 3.66—indicating strong risk-adjusted returns despite a 19.4% max drawdown over three years. Meanwhile, the lack of news-related evidence in the dataset suggests the stock’s performance is driven primarily by technical factors rather than external catalysts or headlines.
The stock demonstrates strong bullish momentum with the SMA 50 crossing above the SMA 200, price above both 50-day and 200-day moving averages, and a positive MACD histogram. However, the RSI and %K values indicate overbought conditions, which could signal potential short-term volatility.
Technical strength is critical for validating upward trends and identifying potential reversal points, while overbought signals may prompt traders to adjust positioning.
There is no available news-related evidence in the dataset, meaning no recent corporate announcements, market events, or external factors are reflected in the analysis.
News sentiment often drives stock movements, and its absence suggests the stock’s performance is driven purely by technical and historical data.
The stock exhibits moderate volatility with an ATR of 2.7% of price and a Calmar ratio of 3.66, reflecting strong risk-adjusted returns despite a 19.4% max drawdown over three years.
The Calmar ratio and ATR provide insight into volatility and risk management, helping assess whether the stock’s returns justify its drawdowns.
StockIQ conclusion
Phoenix Motor Corporation (PHOE.TA) presents a strong technical profile with clear bullish signals, including moving average crossovers and positive momentum indicators. However, overbought conditions and volatility risks highlight potential short-term challenges. The lack of news-related data underscores reliance on technical performance, while the Calmar ratio suggests resilience in risk-adjusted returns. Investors should monitor overbought signals and volatility trends, as well as await external catalysts to validate the stock’s 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
50
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
49
Risk
58
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 PHOE.TA...
🌡️ Emotional Temperature
4
🎯 Conviction (vs. Emotion)
50
Psychology
35
Fundamentals
—
Technical
49
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.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+10%
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 bias (78) reflects traders fixating on the 1.1% resistance gap, while FOMO (41) and herding (42) indicate momentum-driven participation and relative underperformance. The narrow narrative gap (2) suggests no extreme disconnect between price action and fundamentals. Key question: Will traders break resistance or retreat if momentum stalls? The lack of panic (6) or euphoria (14) signals cautious positioning, not reckless behavior.
Updated: 09/07/2026, 04:45 AM
What could change this?
📈 8D 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 — 86/100
🔴 Weakest match
Jack Schwager — 29/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between methodologies that rely on technical or relative-value signals and those that demand deep fundamental or cyclical analysis. Jesse Livermore and Howard Marks both flag it as a higher-probability opportunity—Livermore’s score reflects a clear upward price trend he would exploit, while Marks sees reasonable risk pricing without obvious cycle-timing pitfalls. Meanwhile, Charles Mackay’s moderate score hints at growing speculative interest, which could either fuel momentum or signal a bubble forming. In contrast, the majority of methodologies—including Graham, Fisher, Lynch, and Veblen—are stymied by insufficient data, leaving them unable to form a definitive verdict. Even the efficient-market camp dismisses it as unexceptional, while Nelson’s low score warns of potential overvaluation in its cycle. The split underscores whether this stock’s appeal lies in its price action or whether its fundamentals remain too murky for traditional value or growth investors.
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)
🟢 86
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)
🟢 79
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)
🟢 69
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)
🟡 61
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)
🟡 56
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
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%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 48
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
Morgan Housel
The Psychology of Money (2020)
🟡 45
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)
🟡 43
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
Jack Schwager
Market Wizards (1989)
🔴 29
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
Based on the last 252 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (4 bullish · 6 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 uptrend 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 |
|---|---|
| 4.9.2026 | 158.651 ₪ |
| 9.6.2026 | 126.553 ₪ |
| 8.6.2026 | 126.553 ₪ |
| 13.4.2026 | 142.080 ₪ |
| 12.4.2026 | 142.080 ₪ |
| 3.12.2025 | 125.894 ₪ |
| 2.12.2025 | 125.894 ₪ |
| 1.9.2025 | 156.743 ₪ |
| 31.8.2025 | 156.743 ₪ |
| 12.6.2025 | 91.514 ₪ |
| 11.6.2025 | 91.514 ₪ |
| 20.3.2025 | 225.293 ₪ |
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 Phoenix Financial Ltd (PHOE.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 PHOE.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.
PHOE.TA's technical score is 49/100, which currently reads as neutral — 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: Calmar: 3.46 (3y annualized return 67.3% / max drawdown 19.4%); Price is above the 50-day average; Price is above the 200-day average.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; Price is below the SAR point — downtrend; %K 14.0 — oversold.
Yes — PHOE.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