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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$78.28
▼ $0.35 (-0.4%)
Market data updated: 09/18 01:53 PM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
$78.25 - $79.00
52-Week Range
$62.80 - $90.51
Beta
—
Next Earnings
—
+20.9% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 2/13 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
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Daily volatility (ATR)
ATR: 1.8% of price
Risk
Biggest negative driver
Price vs. SMA 50
Price is below the 50-day average
Technical
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
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.
ROBO’s overall **MODERATE** rating (investor score of 50) reflects a mixed technical and risk profile, tempered by a strong news sentiment. The technical category (score: 28) highlights conflicting signals: while the stock sits above its 200-day average—a bullish long-term anchor—the price remains below the 50-day average, and the negative MACD histogram signals weakening momentum. The RSI (47.5) and %K (46.4) further indicate a neutral-to-bearish short-term bias, with the Parabolic SAR confirming a downtrend. Meanwhile, the risk category (score: 58) reveals moderate volatility (ATR: 1.7%) and a historically volatile performance (Calmar ratio of 0.50, with a 27.9% max drawdown), though the 14.1% annualized return over three years suggests resilience. The news category (score: 100) stands out as a bright spot, with a balanced mix of neutral, positive, and cautiously optimistic headlines—including AI and industrial growth themes—that could support long-term fundamentals despite short-term technical headwinds.
The stock is above its 200-day average but below its 50-day average, with a negative MACD histogram, RSI of 47.5, and a Parabolic SAR indicating a downtrend.
This suggests short-term weakness despite long-term support, which could pressure near-term performance.
News sentiment is overwhelmingly positive (score: 100), with themes like AI, industrial robotic growth, and macroeconomic cycles dominating.
Positive news could offset technical headwinds by reinforcing long-term growth narratives.
The ATR (1.7%) indicates moderate volatility, while the Calmar ratio (0.50) reflects a high drawdown risk (27.9%) despite a 14.1% annualized return.
This volatility and drawdown risk could amplify short-term losses but may also signal potential for outsized gains if momentum shifts.
StockIQ conclusion
ROBO’s **MODERATE** rating stems from a technical and risk profile that shows short-term weakness but is partially offset by strong news sentiment and long-term fundamentals. The stock’s position above its 200-day average and positive thematic coverage suggest underlying strength, though negative momentum indicators and volatility risks create near-term caution. Investors should monitor whether technical conditions improve or if macroeconomic or sector-specific catalysts emerge to validate the positive narrative.
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
47
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
26
Risk
58
Sentiment
92
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.
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage on the **ROBO Global Robotics and Automation Index ETF** highlights its role as a key player in the growing industrial robotics and automation sector, driven by government incentives and broader trends like AI expansion. While not directly spotlighted, headlines emphasize broader themes—such as capital intensity, AI-driven infrastructure investments, and the rising prominence of robotics and automation within tech and manufacturing. Most discussions frame robotics ETFs (including ROBO) as strategic bets for long-term growth amid shifting economic and technological priorities.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about ROBO Global Robotics and Automation Index ETF. News trend score: 92. Reason: 11 of the last 20 articles are positive, versus 4 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
17
🎯 Conviction (vs. Emotion)
50
Psychology
19
Fundamentals
—
Technical
26
Valuation
—
Extreme momentum, price far above its moving average, and a large premium over fair value.
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.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
-9%
Market Narrative
58
Fundamental Reality
50
Narrative Gap
+8
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
ROBO’s psychology is fragmented, with **euphoria** (19) driven by a slight outperformance (+4.3% above 200-day average) despite weak momentum (-1.4% ROC). The **narrative gap** (63 vs. 50) suggests investors may be overestimating fundamentals relative to technicals, while neutral RSI (47) and low volatility (0.78x ATR) dampen urgency. **FOMO** (10) exists but is muted by lack of volume excitement (0.60x average) and negative ROC. The key question: *Is the +4.3% above 200-day average a sustainable anchor or a vulnerable overbought setup?*
Updated: 09/06/2026, 12:49 PM
What could change this?
👥 What the crowd believes
"hundreds of billions in corporate borrowing are piling up to finance a gargantuan AI data center infrastructure buildout"
"AI’s value chain continues to expand as adoption deepens"
"Semiconductors’ newfound prominence... given the importance of chips, memory and equipment suppliers to the AI infrastructure build-out"
"Governments Are Encouraging Industrial Robotic Growth"
📈 7D 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
Morgan Housel — 75/100
🔴 Weakest match
Jesse Livermore — 32/100
🗣️ Why do they disagree?
The stark contrast in verdicts for ROBO reflects deep methodological divides between patient, long-term investors and those focused on short-term trends or market cycles. Morgan Housel’s high score and bullish verdict highlight his preference for quiet, compounding businesses with durable moats—here, the stock aligns with his principle of patient, low-key growth. Meanwhile, methodologies like Jesse Livermore’s and Jack Schwager’s wizards’ approach flag the stock as a red flag, dismissing it outright due to perceived negative momentum or lack of disciplined setups. In the middle, investors like Samuel Nelson and Gerald Loeb see tactical opportunities—Nelson spots a cyclical oversold position, while Loeb emphasizes capital preservation—but others like Howard Marks (both versions) and the efficient-market camp remain skeptical, either due to high expectations or weak evidence for outperformance. The divide underscores whether ROBO’s potential is best judged through fundamental endurance (Housel) or technical/market timing (Livermore/Schwager).
Morgan Housel
The Psychology of Money (2020)
🟢 75
The kind of quiet compounder a patient holder could actually stick with
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 74
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 72
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 66
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 51
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
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
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
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)
🟡 49
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 49
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
Jack Schwager
Market Wizards (1989)
🟡 44
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)
🟡 43
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 32
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
Based on the last 278 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 8 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 trading range after a decline, but still without clear (volume-based) confirmation of an accumulation phase.
Low confidence
$75.43
Range Bottom
$85.46
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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 30.12.2025 | $0.292 |
| 30.12.2024 | $0.309 |
| 26.12.2023 | $0.028 |
| 28.12.2021 | $0.123 |
Sentiment based on basic keywords (not AI) — 11 positive, 5 neutral, 4 negative out of the last 20 articles.
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StockIQ doesn't currently have enough real data to compute a reliable score for ROBO Global Robotics and Automation Index ETF (ROBO) — 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 ROBO 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.
ROBO's technical score is 26/100, 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: ATR: 1.8% of price; Price is above the 200-day average.
Based on the real signals StockIQ computed: Price is below the 50-day average; MACD histogram is negative — falling momentum; -9.2% over the last 3 months relative to the index.
Yes — ROBO has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 0 sales out of the last 0 filings.
No recent insider transaction filings found for this stock.
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
80,538 shares short as of 2026-08-31 · vs. 73,369 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
26.4% of trading volume this week was short selling, vs. 35.7% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology