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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$3.82
▼ $0.20 (-5.0%)
Market data updated: 09/19 10:19 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$1.11B
Day Range
$3.80 - $4.07
52-Week Range
$2.54 - $12.31
Beta
—
Next Earnings
02.11.2026
Support
$2.74
Resistance
$4.36
GTM is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-68.5% (1Y)
Strengths: 8/29 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
🔴 Bearish
Insiders
🔴 Bearish
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: 375.0%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 6.1% 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
53
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
3d ago · $4.19
Evidence: FOMO score jumped from 6 to 36 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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
68
Quality
58
Value
55
Momentum
44
Risk
26
Sentiment
68
Fundamental
50
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 ZoomInfo Technologies Inc. has centered on its strategic expansions and investor concerns. The company highlighted updates to its AI-driven GTM platform, including integrations with Salesforce’s AgentExchange and Slack AI, emphasizing seamless data access for customers. However, headlines also note significant stock volatility—ZoomInfo’s shares have plunged over 60% year-to-date amid stagnant growth, rising debt, and competition from AI-focused peers. Investor caution persists despite recent hiring incentives and positive earnings commentary.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about ZoomInfo Technologies Inc.. News trend score: 68. Reason: 4 of the last 20 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
16
🎯 Conviction (vs. Emotion)
41
Psychology
18
Fundamentals
50
Technical
44
Valuation
55
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.
Extreme momentum, price far above its moving average, and a large premium over fair value.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+36%
Market Narrative
43
Fundamental Reality
41
Narrative Gap
+2
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for GTM suggests a neutral psychological state with no dominant bias, despite a moderate FOMO score. The narrative gap (12 points) hints at a disconnect between market perception and fundamentals, but observable data shows no extreme sentiment. Key open questions include whether the negative ROC (-0.5%) reflects temporary weakness or a shift in valuation expectations. The absence of panic or euphoria implies a cautious, fact-based approach may be prevailing. Low volatility (0.98x ATR) and neutral RSI (48) further reinforce a balanced, non-emotional stance.
Updated: 09/08/2026, 04:05 PM
👥 What the crowd believes
"‘artificial intelligence is driving growth across enterprise software rather than threatening legacy business models’"
"‘updated ZoomInfo MCP on Salesforce’s AgentExchange’"
"‘ZoomInfo stock plunges 60% YTD as growth stalls’"
"‘granted 1,383,779 restricted stock units as inducement’"
🧠 Market Brain events driving this
📈 9D 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 — 89/100
🔴 Weakest match
Morgan Housel — 15/100
🗣️ Why do they disagree?
The methodologies for GTM split sharply between bullish and bearish camps, with some in the middle weighing mixed signals. The highest-scoring approaches—Charles Mackay’s crowd psychology, Samuel Armstrong Nelson’s cycle analysis, and Peter Lynch’s growth potential—all suggest the stock could be undervalued relative to its fundamentals or market positioning, with Lynch and Nelson even hinting at favorable timing. Conversely, the lowest-scoring frameworks, like Jesse Livermore’s trend-following, Walter Bagehot’s liquidity concerns, and Morgan Housel’s volatility sensitivity, paint a starkly different picture, warning of structural risks or unsustainable momentum. Meanwhile, Graham’s two variants and Howard Marks’ mixed verdicts reflect uncertainty about valuation depth and whether the stock’s strengths justify its price, while Fisher and the efficient-market theorists dismiss it outright for lacking the signature traits or evidence of outperformance. The divide underscores whether GTM’s growth narrative or market positioning outweighs its liquidity, volatility, or trend resistance.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 89
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)
🟢 85
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 83
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
Peter Lynch
One Up on Wall Street (1989)
🟢 78
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 67
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 59
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 55
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 (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 52
Some discount, but not the deep 'net-net' bargain Graham's enterprising bar sets
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 40
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 36
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 35
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 32
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
Walter Bagehot
Lombard Street (1873)
🔴 19
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 17
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)
🔴 16
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)
🔴 15
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?
Fact → Principle → Simulation
Based on the last 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (3 bullish · 6 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.
The stock is in a clear uptrend 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
84.0%
Operating Margin
18.1%
Net Margin
9.9%
EBITDA Margin
18.1%
ROE
8.2%
ROA
1.9%
ROIC
—
EPS
$0.38
Cash
$175.90M
Total Debt
$1.32B
Current Ratio
0.72
Debt/Equity
0.88
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
$4.66
Tangible Book Value per Share (Tangible NAV)
-$1.24
Sentiment based on basic keywords (not AI) — 4 positive, 15 neutral, 1 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 15.9.2026
Simply Wall St. · 15.9.2026
Yahoo · 14.9.2026
StockStory · 14.9.2026
Benzinga · 14.9.2026
Yahoo · 11.9.2026
Business Wire · 11.9.2026
Yahoo · 10.9.2026
StockStory · 10.9.2026
Yahoo · 8.9.2026
Business Wire · 8.9.2026
Yahoo · 8.9.2026
Business Wire · 8.9.2026
Yahoo · 8.9.2026
Business Wire · 8.9.2026
Yahoo · 3.9.2026
Business Wire · 3.9.2026
Yahoo · 2.9.2026
ZoomInfo Technologies Inc. (GTM) currently has a StockIQ AI score of 53/100, 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.
GTM currently scores 53/100 (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.
GTM's technical score is 44/100, which currently reads as neutral — 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: 375.0%; Net income growth: 326.8%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: ATR: 6.1% of price; Current ratio: 0.72; Calmar: -0.45 (3y annualized return -38.7% / max drawdown 86.2%).
StockIQ has no recorded dividend payment history for GTM.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 8 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| McGrane Ashley | Open Market Sale | 2.9.2026 | 34 | -34 | $4.17 |
| Roth James M | Open Market Sale | 2.9.2026 | 94 | -94 | $4.17 |
| McGrane Ashley | Exercise of Derivative Securities | 1.9.2026 | 207 | +207 | — |
| O'Brien Michael Graham | Tax Withholding in Shares | 1.9.2026 | 268 | -268 | $4.24 |
| Roth James M | Tax Withholding in Shares | 1.9.2026 | 156 | -156 | $4.24 |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.9.2026 | 214 | +214 | — |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.9.2026 | 328 | -328 | — |
| HSKB Funds II, LLC | Other Transaction | 1.9.2026 | 4,575 | -4,575 | — |
| McGrane Ashley | Tax Withholding in Shares | 1.9.2026 | 70 | -70 | $4.24 |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.9.2026 | 214 | -214 | — |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.9.2026 | 328 | +328 | — |
| McGrane Ashley | Exercise of Derivative Securities | 1.9.2026 | 207 | -207 | — |
| Roth James M | Exercise of Derivative Securities | 1.9.2026 | 345 | +345 | — |
| Roth James M | Exercise of Derivative Securities | 1.9.2026 | 345 | -345 | — |
| McGrane Ashley | Open Market Sale | 7.8.2026 | 16,400 | -16,400 | $4.16 |
| McGrane Ashley | Open Market Sale | 7.8.2026 | 106,934 | -16,400 | $4.16 |
| O'Brien Michael Graham | Open Market Sale | 6.8.2026 | 5,000 | -5,000 | $4.00 |
| O'Brien Michael Graham | Open Market Sale | 6.8.2026 | 299,947 | -5,000 | $4.00 |
| McGrane Ashley | Open Market Sale | 4.8.2026 | 997 | -997 | $3.56 |
| McGrane Ashley | Open Market Sale | 4.8.2026 | 123,334 | -997 | $3.56 |
| McGrane Ashley | Exercise of Derivative Securities | 1.8.2026 | 5,987 | -5,987 | — |
| McGrane Ashley | Tax Withholding in Shares | 1.8.2026 | 1,997 | -1,997 | $3.30 |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.8.2026 | 91,384 | -91,384 | — |
| O'Brien Michael Graham | Exercise of Derivative Securities | 1.8.2026 | 3,469 | -3,469 | — |
| HSKB Funds II, LLC | Other Transaction | 1.8.2026 | 27,278 | -27,278 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
36,876,791 shares short as of 2026-08-31 · vs. 43,881,252 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
58.3% of trading volume this week was short selling, vs. 58.6% 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