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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Industrials · ·
$41.89
▼ $2.72 (-6.1%)
Market data updated: 09/19 05:38 AM
Fundamentals updated: 09/18/2026
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
$41.60 - $44.86
52-Week Range
$37.68 - $87.88
Beta
—
Next Earnings
23.11.2026
Support
$37.68
Resistance
$48.24
SYM is a stock from the Industrials sector — Manufacturing, aerospace, defense, and infrastructure — closely tied to capital-investment cycles and economic growth.
-9.3% (1Y)
Strengths: 10/27 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
🟡 Mixed
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 25.7%
Growth
Biggest negative driver
Operating margin
Operating margin: -5.1% (negative)
Fundamental
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.
🗓️ 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
49
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
46
Quality
58
Value
50
Momentum
72
Risk
34
Sentiment
44
Fundamental
23
Institutional
0
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of Symbotic Inc. has centered on its strong backlog of $22.5 billion, heavily tied to Walmart, raising concerns about customer concentration risk. Analysts like Barclays downgraded the stock to Underweight with a lowered price target to $38, citing valuation concerns despite its 20%+ revenue growth and improving margins. The company’s stock rose 5.1% post-earnings, while broader industry discussions highlighted its role in the $50 trillion physical AI opportunity, alongside competitors like Serve Robotics. Liquidity and cash burn were also briefly mentioned as potential growth challenges.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Symbotic Inc.. News trend score: 44. Reason: 5 of the last 20 articles are negative, versus 4 positive.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
35
🎯 Conviction (vs. Emotion)
41
Psychology
42
Fundamentals
23
Technical
72
Valuation
50
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.
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)
+7%
Market Narrative
56
Fundamental Reality
41
Narrative Gap
+15
🔀 Weak-Conviction Rally
Price is moving, but not accompanied by a matching rise in news attention/sentiment.
🧠 StockIQ Psychologist
The market behavior suggests a **mixed but cautious FOMO**—positive momentum and sentiment drive participation, but the stock remains below its 200-day average, limiting euphoric overreach. Overconfidence is modest, as price gains outpace fundamentals, hinting traders may be underweighting risks. The narrative gap (14 points) implies a disconnect where optimism exceeds tangible progress. The key question: *Will momentum sustain, or will fundamentals reassert themselves?*
Updated: 09/09/2026, 09:17 AM
What could change this?
👥 What the crowd believes
"This warehouse automation company is tightly tethered to Walmart."
"Symbotic: 20%+ revenue growth, a $22.5B backlog, and improving margins make the valuation compelling."
"SYM and SERV are taking different paths in robotics and automation."
"Barclays maintains Symbotic with a Underweight and lowers the price target from $44 to $38."
📈 14D Investor Psychology
Signal classification confidence: High (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 — 81/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock sparks a stark divide among methodologies, with scores ranging from a near-universal pass from Charles Mackay—who sees no crowd-driven mania—to a resounding rejection by Morgan Housel, who flags extreme volatility as a red flag. The middle-ground investors like Fisher, Smith, and Marks acknowledge the company’s strengths but temper their enthusiasm, warning that expectations may already be priced in or that the business sits in a mature market cycle. Meanwhile, the more risk-averse frameworks—Graham, Loeb, and Bagehot—pile on caution, dismissing it as statistically overvalued, structurally risky, or lacking liquidity. Even Lynch and the efficient-market theorists see limited upside, suggesting the stock’s price already reflects its growth potential, while Livermore and Veblen’s low scores imply it violates core principles of trend-following and sustainable growth. The contrast highlights a tension between those who prioritize qualitative resilience (like Mackay) and those who demand quantitative safety or structural advantages (like Graham or Housel).
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 81
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)
🟢 70
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)
🟢 70
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 65
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 63
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 48
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
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)
🟡 37
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 22
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
Jack Schwager
Market Wizards (1989)
🔴 22
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 21
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 18
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 13
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 9
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 3
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 0
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 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (8 bullish · 3 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.
A trading range after a decline, but still without clear (volume-based) confirmation of an accumulation phase.
Low confidence
$37.68
Range Bottom
$48.24
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.
Gross Margin
18.8%
Operating Margin
-5.1%
Net Margin
-0.8%
EBITDA Margin
-3.4%
ROE
-7.7%
ROA
-0.7%
ROIC
—
EPS
-$0.16
Cash
$1.24B
Total Debt
—
Current Ratio
1.09
Debt/Equity
—
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$2.04
Tangible Book Value per Share (Tangible NAV)
$0.76
Sentiment based on basic keywords (not AI) — 4 positive, 11 neutral, 5 negative out of the last 20 articles.
Yahoo · 18.9.2026
Benzinga · 15.9.2026
Benzinga · 15.9.2026
Yahoo · 14.9.2026
Yahoo · 11.9.2026
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Yahoo · 11.9.2026
Zacks · 11.9.2026
Yahoo · 10.9.2026
Benzinga · 8.9.2026
Yahoo · 4.9.2026
Zacks · 4.9.2026
Yahoo · 2.9.2026
Zacks · 2.9.2026
Benzinga · 2.9.2026
Yahoo · 1.9.2026
Motley Fool · 1.9.2026
SeekingAlpha · 1.9.2026
Yahoo · 31.8.2026
Zacks · 31.8.2026
Symbotic Inc. (SYM) currently has a StockIQ AI score of 49/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
SYM currently scores 49/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
SYM's technical score is 72/100, 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: Revenue growth (last year): 25.7%; Operating margin is stable or improving over time; Price is above the 50-day average.
Based on the real signals StockIQ computed: Operating margin: -5.1% (negative); Net margin: -0.8% (negative); ATR: 4.1% of price.
StockIQ has no recorded dividend payment history for SYM.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 6 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| KRASNOW TODD | Other Transaction | 8.9.2026 | 2,000 | +2,000 | — |
| KRASNOW TODD | Open Market Sale | 8.9.2026 | 511 | -511 | $43.88 |
| KRASNOW TODD | Other Transaction | 8.9.2026 | 2,000 | -2,000 | — |
| KRASNOW TODD | Open Market Sale | 8.9.2026 | 1,489 | -1,489 | $43.46 |
| KRASNOW TODD | Other Transaction | 8.9.2026 | 2,000 | -2,000 | — |
| KANE CHARLES | Open Market Sale | 1.9.2026 | 2,000 | -2,000 | $39.00 |
| KANE CHARLES | Other Transaction | 1.9.2026 | 2,000 | -2,000 | — |
| KANE CHARLES | Other Transaction | 1.9.2026 | 2,000 | +2,000 | — |
| KANE CHARLES | Other Transaction | 1.9.2026 | 2,000 | -2,000 | — |
| Ross Andrew D | Exercise of Derivative Securities | 26.8.2026 | 2,568 | -2,568 | — |
| Ross Andrew D | Exercise of Derivative Securities | 26.8.2026 | 2,568 | +2,568 | — |
| Ross Andrew D | Exercise of Derivative Securities | 26.8.2026 | 7,672 | +2,568 | — |
| Ross Andrew D | Exercise of Derivative Securities | 26.8.2026 | 5,137 | -2,568 | — |
| Kuffner James | Open Market Sale | 24.8.2026 | 219,858 | -3,952 | $40.59 |
| Kuffner James | Open Market Sale | 24.8.2026 | 3,952 | -3,952 | $40.59 |
| Kuffner James | Exercise of Derivative Securities | 23.8.2026 | 223,810 | +9,748 | — |
| Kuffner James | Exercise of Derivative Securities | 23.8.2026 | 48,744 | -9,748 | — |
| Kuffner James | Exercise of Derivative Securities | 23.8.2026 | 9,748 | +9,748 | — |
| Kuffner James | Exercise of Derivative Securities | 23.8.2026 | 9,748 | -9,748 | — |
| PAGLIUCA STEPHEN G | Grant/Award from Employer | 14.8.2026 | 6,274 | +6,274 | — |
| PAGLIUCA STEPHEN G | Grant/Award from Employer | 14.8.2026 | 9,471 | +9,471 | — |
| PAGLIUCA STEPHEN G | Grant/Award from Employer | 14.8.2026 | 6,274 | +6,274 | — |
| PAGLIUCA STEPHEN G | Grant/Award from Employer | 14.8.2026 | 9,471 | +9,471 | — |
| KRASNOW TODD | Other Transaction | 3.8.2026 | 2,000 | -2,000 | — |
| KRASNOW TODD | Open Market Sale | 3.8.2026 | 48 | -48 | $46.22 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
16,838,635 shares short as of 2026-08-31 · vs. 15,352,337 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
51.8% of trading volume this week was short selling, vs. 54.6% 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