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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$7.51
▼ $0.04 (-0.5%)
Market data updated: 09/15 02:13 PM
News analyzed: 09/15/2026
Market Cap
$646.69M
Day Range
$7.50 - $7.56
52-Week Range
$7.34 - $12.81
Beta
—
Next Earnings
11.11.2026
SSYS is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-22.8% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 1/13 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
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Parabolic SAR
Price is above the SAR point — uptrend
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 4.0% of price
Risk
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
35
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
20
Risk
34
Sentiment
74
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 of Stratasys, Ltd. highlights its challenges in the industrial additive manufacturing sector, including declining system sales despite growing market demand for 3D printing, which is projected to reach $31.77 billion by 2032. Analysts discuss the company’s strategic transition, cash flow pressures, and its Q2 2026 earnings, where record consumables revenue and the acquisition of MarkForged—aimed at expanding aerospace and defense—were noted. Additionally, Stratasys’ long-standing partnership with Limbitless Solutions for 3D-printed pediatric prosthetics received attention as part of its broader community impact efforts.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Stratasys, Ltd.. News trend score: 74. Reason: 7 of the last 20 articles are positive, versus 3 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
12
🎯 Conviction (vs. Emotion)
50
Psychology
60
Fundamentals
—
Technical
20
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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 (3M)
-13%
Market Narrative
49
Fundamental Reality
50
Narrative Gap
-1
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market’s dominant *Loss Aversion* (score 44) reflects a reluctance to crystallize losses amid a -9.6% three-month drawdown, despite muted volume (0.81x average). FOMO and panic signals are weak, with neutral RSI (47) and low volatility (0.89x ATR baseline) suggesting no extreme urgency. The narrative gap (-7) hints at a disconnect where sentiment (68/100) lags reality, but no clear catalyst is driving aggressive action. The key question: Will traders exit to lock in gains or hold for recovery, or will peer performance break the current detachment?
Updated: 09/09/2026, 09:15 AM
What could change this?
👥 What the crowd believes
"Stratasys’ business is struggling, with system sales declining despite improving demand."
"Manufacturing focus drives consumables record"
"MarkForged acquisition targets A&D expansion"
"Stratasys and Limbitless Solutions expand ongoing partnership providing access to 3D-printed prosthetics for children"
📈 6D 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
Samuel Armstrong Nelson — 89/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The methodologies for SSYS reveal a stark divide between those focused on technical and cyclical patterns and those skeptical of its fundamentals or risk profile. Charles Mackay’s high score suggests the stock lacks crowd-driven mania, while Schwager, Nelson, and Marks (cycle) all see it as a disciplined, early-to-mid-cycle opportunity with favorable risk/reward. In contrast, Graham, Fisher, and Lynch’s neutral scores reflect a lack of concrete data to assess its valuation, growth, or fundamentals—leaving their models unable to confirm or reject the stock. Meanwhile, the sharp contrast between Livermore’s negative trend verdict and Loeb’s high-risk flag highlights concerns about volatility and downside risk, while Housel’s zero score underscores the stock’s potential to unsettle patient, long-term investors. The divide underscores whether SSYS is a cyclical bet or a speculative gamble.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 89
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)
🟢 86
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 (Market Cycle)
Mastering the Market Cycle (2018)
🟢 79
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
Jack Schwager
Market Wizards (1989)
🟢 66
A real, disciplined setup with favorable reward/risk
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 56
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)
🔴 29
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 26
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 21
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
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
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 276 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 9 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.
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) — 7 positive, 10 neutral, 3 negative out of the last 20 articles.
Yahoo · 14.9.2026
Business Wire · 14.9.2026
Yahoo · 14.9.2026
StockStory · 14.9.2026
Yahoo · 10.9.2026
Business Wire · 10.9.2026
MT Newswires · 9.9.2026
Yahoo · 9.9.2026
Business Wire · 9.9.2026
Benzinga · 9.9.2026
SeekingAlpha · 27.8.2026
GlobeNewswire · 24.8.2026
StockStory · 24.8.2026
Insider Monkey · 21.8.2026
Motley Fool · 20.8.2026
StockStory · 20.8.2026
Business Wire · 18.8.2026
Benzinga · 18.8.2026
StockStory · 17.8.2026
StockStory · 16.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Stratasys, Ltd. (SSYS) — 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 SSYS 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.
SSYS's technical score is 20/100, 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: Price is above the SAR point — uptrend.
Based on the real signals StockIQ computed: ATR: 4.0% of price; Calmar: -0.27 (3y annualized return -15.6% / max drawdown 58.4%); Price is below the 50-day average.
StockIQ has no recorded dividend payment history for SSYS.
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.
2,529,913 shares short as of 2026-08-31 · vs. 2,281,581 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
47.8% of trading volume this week was short selling, vs. 38.9% 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