Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$4.16
▲ $0.01 (+0.2%)
Market data updated: 10/01 01:39 AM
Fundamentals updated: 10/01/2026
News analyzed: 10/01/2026
Market Cap
$220.48M
Day Range
$3.77 - $4.18
52-Week Range
$2.11 - $21.41
Beta
—
Next Earnings
11.11.2026
Support
$2.11
Resistance
$5.60
-76.2% (1Y)
Strengths: 17/29 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
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 49.5%
Growth
Biggest negative driver
Operating margin
Operating margin: -956.9% (negative)
Fundamental
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 3 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 3
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
58
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
52
Quality
63
Value
50
Momentum
74
Risk
46
Sentiment
74
Fundamental
39
Institutional
100
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 Z Squared Inc. has primarily centered on its rapid public debut and subsequent controversies. The company, which went public on Nasdaq in April 2026, faced scrutiny over allegations of a $1.2 billion Ponzi scheme, tied to efforts to lure investors from a private-equity fund. Additionally, its stock saw a 19.4% intraday gain in September 2026, though broader reports highlight its volatile market activity amid regulatory and investor skepticism. Earlier, the company announced a $25 million acquisition of Paradox Data’s AI and data infrastructure business.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Z Squared Inc.. News trend score: 74. Reason: 4 of the last 6 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
53
🎯 Conviction (vs. Emotion)
54
Psychology
100
Fundamentals
39
Technical
74
Valuation
50
The price rise has far outpaced the actual improvement in fundamental data.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price (3M)
-62%
Market Narrative
77
Fundamental Reality
54
Narrative Gap
+23
🔀 Weak-Conviction Rally
Price is moving, but not accompanied by a matching rise in news attention/sentiment.
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
Walter Bagehot — 100/100
🔴 Weakest match
Samuel Armstrong Nelson — 14/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with some legendary investors seeing strong fundamentals while others flag caution or outright skepticism. The highest-scoring approaches—Bagehot’s liquidity focus, Graham’s defensive and enterprising strategies, and Lynch’s growth outlook—all suggest resilience, undervaluation, or untapped upside, framing it as a high-quality or high-potential pick. Conversely, Fisher, the efficient-market theorists, and Nelson’s cycle analysis dismiss it as lacking the signature traits of enduring quality, overpriced momentum, or speculative risk, respectively. Even Marks’ contrasting verdicts (one mid-cycle, one neutral risk) highlight tension between cyclical optimism and measured pragmatism, while Livermore and Schwager’s neutral stances imply a lack of decisive edge. The debate hinges on whether the stock’s perceived strengths (liquidity, growth, or value) outweigh its perceived risks (cyclicality, speculative hype, or market inefficiency).
Walter Bagehot
Lombard Street (1873)
🟢 100
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 94
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 93
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 74
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 70
Deep statistical discount — a real Enterprising Investor candidate
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 66
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
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 60
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 60
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 55
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 53
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 48
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 47
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 46
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 14
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 288 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (9 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 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.
Gross Margin
86.7%
Operating Margin
-956.9%
Net Margin
-874.3%
EBITDA Margin
-870.3%
ROE
-87.9%
ROA
-73.8%
ROIC
—
EPS
-$2.81
Cash
$5.67M
Total Debt
$150.00K
Current Ratio
4.16
Debt/Equity
0.01
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$3.20
Tangible Book Value per Share (Tangible NAV)
$3.12
Sentiment based on basic keywords (not AI) — 4 positive, 2 neutral, 0 negative out of the last 6 articles.
Yahoo · 29.9.2026
Benzinga · 28.9.2026
ChartMill · 24.9.2026
Benzinga · 24.9.2026
Benzinga · 24.9.2026
Benzinga · 3.8.2026
Z Squared Inc. (ZSQR) currently has a StockIQ AI score of 58/100, 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.
ZSQR currently scores 58/100 (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.
ZSQR's technical score is 74/100, 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: Earnings per share (EPS) growth: 49.5%; Operating margin is stable or improving over time; Debt/equity: 0.01.
Based on the real signals StockIQ computed: Operating margin: -956.9% (negative); Net margin: -874.3% (negative); ATR: 12.2% of price.
StockIQ has no recorded dividend payment history for ZSQR.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 1 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Harris Jeffery Keeslar | Grant/Award from Employer | 24.8.2026 | 49,778 | +49,778 | — |
| Schadel Christopher Ryan | Open Market Purchase | 18.8.2026 | 1,000 | +1,000 | $3.92 |
| Schadel Christopher Ryan | Grant/Award from Employer | 3.6.2026 | 12,674 | +2,806 | — |
| Schadel Christopher Ryan | Grant/Award from Employer | 3.6.2026 | 12,674 | +2,806 | — |
| BSG Series CM, LLC | Other Transaction | 30.4.2026 | 0 | -41,521,276 | — |
| Schadel Christopher Ryan | Grant/Award from Employer | 27.4.2026 | 100,000 | +100,000 | — |
| Schadel Christopher Ryan | Grant/Award from Employer | 27.4.2026 | 9,868 | +9,868 | — |
| Schadel Christopher Ryan | Grant/Award from Employer | 27.4.2026 | 100,000 | +100,000 | — |
| Schadel Christopher Ryan | Grant/Award from Employer | 27.4.2026 | 9,868 | +9,868 | — |
| Cogley Brian | Grant/Award from Employer | 27.4.2026 | 100,000 | +100,000 | — |
| Cogley Brian | Grant/Award from Employer | 27.4.2026 | 16,447 | +16,447 | — |
| Cooper Kenneth Lyle | Grant/Award from Employer | 27.4.2026 | 9,868 | +9,868 | — |
| Fuerst Bryan Eric | Grant/Award from Employer | 27.4.2026 | 9,868 | +9,868 | — |
| Halabu David Elias | Grant/Award from Employer | 27.4.2026 | 500,000 | +500,000 | — |
| Sohn Adam Craig | Grant/Award from Employer | 27.4.2026 | 9,868 | +9,868 | — |
| Burke Michelle Ellen | Grant/Award from Employer | 27.4.2026 | 16,447 | +16,447 | — |
| Salkind Gene | Exercise of Derivative Securities | 11.2.2026 | 13,161 | +5,700 | $10.56 |
| Salkind Gene | Grant/Award from Employer | 11.2.2026 | 13,161 | +3,250 | — |
| Deschamps Philippe | Exercise of Derivative Securities | 11.2.2026 | 8,950 | +5,700 | $10.56 |
| Deschamps Philippe | Grant/Award from Employer | 11.2.2026 | 8,950 | +3,250 | — |
| Sheehy Christine Elise | Exercise of Derivative Securities | 11.2.2026 | 64,031 | +1,000 | $10.56 |
| Sheehy Christine Elise | Grant/Award from Employer | 11.2.2026 | 64,031 | +12,500 | — |
| Cochran Christopher P. | Exercise of Derivative Securities | 11.2.2026 | 8,950 | +5,700 | $10.56 |
| Cochran Christopher P. | Grant/Award from Employer | 11.2.2026 | 8,950 | +3,250 | — |
| DeSilva Tara | Exercise of Derivative Securities | 11.2.2026 | 8,950 | +5,700 | $10.56 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
4,112,942 shares short as of 2026-09-15 · vs. 4,158,367 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
62.6% of trading volume this week was short selling, vs. 76.1% 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