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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Health · ·
119.60 ₪
▲ 1.60 ₪ (+1.4%)
Market data updated: 09/18 12:42 PM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
116.00 ₪ - 119.60 ₪
52-Week Range
60.82 ₪ - 119.90 ₪
Beta
—
Next Earnings
—
+113.0% (1Y)
🟡 Moderate
Strengths: 8/13 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
🟢 Bullish
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
RSI
RSI 74.4 — approaching overbought territory
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.
🗓️ 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
68
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
today · $119.60
Evidence: FOMO score jumped from 10 to 44 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of September 17, 2026
Then
72
$118.00
Now
68
$119.60
What happened since
Signals detected by this date
No signals detected by this date
🧬 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
79
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 TEVA.TA...
🌡️ Emotional Temperature
38
🎯 Conviction (vs. Emotion)
50
Psychology
95
Fundamentals
—
Technical
79
Valuation
—
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
+27%
Market Narrative
54
Fundamental Reality
50
Narrative Gap
+4
🧠 StockIQ Psychologist
The market behavior for TEVA.TA suggests a **tug-of-war between FOMO and panic selling**, both scoring moderately high (6 and 7, respectively). The negative 12-period ROC (-2.2%) and elevated volume (1.20x) fuel uncertainty, while neutral RSI (54) and balanced volatility (1.03x ATR) prevent extreme bias. The narrative gap (-8) hints at a disconnect between market sentiment (42) and objective reality (50), implying traders may be overreacting to recent trends. The key question: *Will traders exit cautiously (panic) or hold for recovery (FOMO) as momentum stabilizes?*
Updated: 09/08/2026, 09:15 AM
What could change this?
🧠 Market Brain events driving 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
Jesse Livermore — 68/100
🔴 Weakest match
Samuel Armstrong Nelson — 0/100
🗣️ Why do they disagree?
The stark contrast in verdicts for TEVA.TA reflects deep methodological divides between cautious, data-driven investors and those who prioritize market psychology or cycle awareness. Charles Mackay’s high score suggests the stock lacks obvious speculative frenzy, aligning with his focus on avoiding crowd-driven bubbles, while Howard Marks’ mid-range score hints at a balanced risk assessment—though he sees no immediate cycle-timing danger. Meanwhile, the cluster of methodologies scoring 50 or below—from Graham’s valuation skepticism to Lynch’s lack of growth clarity—highlight a consensus that insufficient fundamental or quantitative data exists to justify a confident buy. Even the most neutral verdicts (like Nelson’s mid-cycle stance or Schwager’s indecision) underscore a lack of clear signals, while Morgan Housel’s low score warns of volatility that could deter patient long-term holders. The divergence between Mackay’s relative optimism and the rest’s caution underscores whether the stock’s risks are worth taking based on available evidence.
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟢 68
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 59
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 56
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 53
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)
🟡 52
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%
Morgan Housel
The Psychology of Money (2020)
🟡 47
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)
🟡 43
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)
🟡 41
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 0
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
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 an uptrend (8 bullish · 2 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.
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 Teva Pharmaceutical Industries Limited (TEVA.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 TEVA.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.
TEVA.TA's technical score is 79/100, which currently reads as bullish — 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; Price is above the 200-day average; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: RSI 74.4 — approaching overbought territory; %K 97.7 — overbought.
StockIQ has no recorded dividend payment history for TEVA.TA.
Full breakdown of every data type and its source: Data Sources · Methodology