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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Energy · ·
286.50 ₪
▲ 6.60 ₪ (+2.4%)
Market data updated: 09/17 12:19 PM
News analyzed: 09/17/2026
Market Cap
Not available
Day Range
280.00 ₪ - 287.40 ₪
52-Week Range
278.30 ₪ - 421.60 ₪
Beta
—
Next Earnings
—
ORA.TA is a stock from the Energy sector — Oil, gas, and renewable energy — highly volatile profitability, dependent on global commodity prices.
-4.7% (1Y)
🟡 Moderate
Strengths: 0/13 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
No notable strengths identified.
Computed directly from the same signals behind the score above — not AI-generated.
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: -0.02 (3y annualized return -0.5% / max drawdown 33.0%)
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.
ORA.TA’s overall investor score of 42 reflects a mixed technical and risk profile, tempered by a neutral news sentiment. The stock’s technical indicators reveal a short-term resilience—price sits above the 50-day average and RSI (50.5) suggests positive momentum—but this is undermined by longer-term weakness, including a price below the 200-day average, a negative MACD histogram signaling falling momentum, and a break below the SAR point, all of which point to a downtrend. Risk metrics are particularly concerning, with a Calmar ratio of 0.11 indicating a high drawdown risk (29.4% max drawdown over 3 years) relative to its modest 3.3% annualized return, while the ATR (3.0%) suggests moderate volatility. News sentiment, though neutral, lacks specific data to drive confidence, leaving the stock’s valuation largely dependent on technical and risk factors that currently lean negative.
The stock shows short-term strength (price above 50-day average, RSI 50.5) but is weighed down by long-term weakness (below 200-day average, negative MACD, SAR break) and neutral %K (45.6).
This divergence highlights a potential short-term rebound risk against a backdrop of sustained downtrend signals.
No available news data points are provided to assess sentiment or events impacting the stock.
Lack of news context means the stock’s valuation relies entirely on technical and risk factors.
The Calmar ratio (0.11) and 29.4% max drawdown over 3 years indicate high risk-adjusted volatility, while ATR (3.0%) confirms moderate price fluctuation.
These metrics suggest the stock carries significant downside risk relative to its returns.
StockIQ conclusion
ORA.TA’s score of 42 reflects a stock with short-term technical resilience but significant long-term risks, particularly in risk-adjusted performance and downtrend signals. While positive momentum indicators like RSI and ATR suggest cautious optimism, the negative MACD, extreme drawdowns, and underperformance relative to the index create substantial concerns. Without additional news context or a reversal in technical trends, the stock remains vulnerable to further declines, particularly if volatility persists or risk metrics worsen.
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
24
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
10
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 ORA.TA...
🌡️ Emotional Temperature
23
🎯 Conviction (vs. Emotion)
50
Psychology
91
Fundamentals
—
Technical
10
Valuation
—
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price (3M)
-23%
Market Narrative
33
Fundamental Reality
50
Narrative Gap
-17
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests a dominant herding dynamic, where traders are aligning with peer movements rather than independent conviction. Weak FOMO and panic signals imply no extreme sentiment, but the 23.4% 3-month drop and elevated volume hint at loss aversion—traders may be cautious rather than aggressive. The narrative gap (-8) suggests reality slightly outweighs perception, but the key question remains whether herding will sustain or if loss aversion triggers further caution. The stock’s modest outperformance today (+1.0% vs. +1.7% peers) may reflect tactical alignment rather than conviction.
Updated: 09/05/2026, 07:19 PM
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 — 100/100
🔴 Weakest match
Morgan Housel — 11/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between methodologies, with some approaches seeing it as a cautiously optimistic play while others flag it as risky or overcomplicated. The highest scores come from **Edgar Lawrence Smith (100)** and **Charles Mackay (96)**, suggesting it aligns with his dividend/growth focus or lacks speculative mania—though Smith’s verdict notes insufficient data. Meanwhile, **Howard Marks (73/71)** leans bullish, viewing it as mid-cycle with reasonable risk pricing, while **Samuel Nelson (62)** remains neutral, seeing no strong buy/sell signal. In contrast, **Jesse Livermore (25)** and **Morgan Housel (33)** warn of trend resistance and volatility, respectively, while **Gerald Loeb (42)** and the **efficient-market theorists (41)** caution against overconfidence in picking it over broader indices. The lack of definitive data for Graham, Fisher, or Lynch leaves their verdicts neutral, but their scores hover at 50, reinforcing the stock’s ambiguity—some frameworks see potential, others see red flags.
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 100
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
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 99
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
Jack Schwager
Market Wizards (1989)
🟡 58
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
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)
🔴 35
Risk profile Loeb would flag as a real threat 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)
🔴 31
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
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)
🔴 13
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)
🔴 11
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
Based on the last 252 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 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 |
|---|---|
| 19.8.2026 | 36.362 ₪ |
| 20.5.2026 | 36.362 ₪ |
| 19.5.2026 | 36.009 ₪ |
| 10.3.2026 | 36.362 ₪ |
| 9.3.2026 | 36.009 ₪ |
| 17.11.2025 | 36.362 ₪ |
| 16.11.2025 | 36.009 ₪ |
| 20.8.2025 | 36.362 ₪ |
| 19.8.2025 | 36.009 ₪ |
| 21.5.2025 | 36.362 ₪ |
| 20.5.2025 | 36.009 ₪ |
| 12.3.2025 | 36.362 ₪ |
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 Ormat Technologies Inc (ORA.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 ORA.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.
ORA.TA's technical score is 10/100, 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: Calmar: -0.02 (3y annualized return -0.5% / max drawdown 33.0%); Price is below the 50-day average; Price is below the 200-day average.
Yes — ORA.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