Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$1.19
▼ $0.13 (-9.8%)
Market data updated: 09/30 10:38 PM
Fundamentals updated: 09/30/2026
News analyzed: 09/30/2026
Market Cap
$119.54M
Day Range
$1.11 - $1.37
52-Week Range
$0.76 - $9.42
Beta
—
Next Earnings
02.11.2026
Support
$0.75
Resistance
$1.58
VERI is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-75.3% (1Y)
Strengths: 6/27 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
🟡 Mixed
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Operating margin
Operating margin: -88.1% (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
46
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
26
Quality
42
Value
50
Momentum
59
Risk
26
Sentiment
98
Fundamental
21
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 Veritone, Inc. (VERI) has centered on its Q2 2026 earnings performance, highlighting revenue growth and strategic cost-cutting measures during the earnings call. Analysts, including Needham’s Joshua Reilly, maintained a Buy rating but lowered the price target from $10 to $5, reflecting cautious optimism. The company’s stock briefly gained attention in pre-market and after-hours sessions amid broader tech sector volatility, though no major operational or product announcements were reported.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Veritone, Inc.. News trend score: 98. Reason: 9 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
20
🎯 Conviction (vs. Emotion)
36
Psychology
40
Fundamentals
21
Technical
59
Valuation
50
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
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.
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
-9%
Market Narrative
67
Fundamental Reality
36
Narrative Gap
+31
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for VERI is dominated by loss aversion, as the extreme 3-month drawdown (-47.0%) and muted volume (0.53x average) suggest investors are hesitant to crystallize losses. Confirmation bias (score: 26) is also notable, with a +20 narrative gap favoring optimistic framing despite weak revenue growth (0.0%) and minimal margin expansion. The absence of FOMO, panic, or herding—despite positive sentiment (98/100)—implies a cautious, risk-averse stance. The key question is whether the narrative gap will widen further or if fundamentals (e.g., revenue trends) will force a reassessment of the stock’s valuation.
Updated: 09/07/2026, 08:36 AM
What could change this?
👥 What the crowd believes
"Needham analyst Joshua Reilly maintains Veritone (VERI) with a Buy but lowers the price target from $10 to $5."
"Veritone Inc (VERI) reports a 20% sequential revenue increase..."
"Veritone Inc (VERI) reports ... significant debt reduction..."
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 — 68/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The methodologies for VERI split sharply between those favoring a cautiously optimistic stance and those warning of significant risks. Howard Marks (Market Cycle) and Charles Mackay both score high (77 and 76), seeing it as a mid-cycle opportunity with no crowd-driven mania, while Jack Schwager’s disciplined, reward/risk-focused approach also endorses it (76). In contrast, Benjamin Graham’s strict valuation tests (57) and the Enterprising Investor variant (43) flag it as too expensive, and the Efficient Market proponents (42) dismiss it as unconvincing for active picking. Meanwhile, the lowest scorers—like Morgan Housel (0), Philip Fisher (7), and Walter Bagehot (6)—reject it outright for volatility, lack of Fisher’s signature growth, or liquidity risks, while Livermore (26) and Loeb (13) warn of trend and capital-preservation concerns. The divide highlights a tension between cyclical bullishness and deep-value or quality skepticism.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 68
Some signs of crowd excitement building
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)
🟢 65
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 55
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 54
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 43
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 41
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 38
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 33
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 30
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 17
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 13
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
Peter Lynch
One Up on Wall Street (1989)
🔴 8
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 7
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 6
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
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?
Fact → Principle → Simulation
Based on the last 288 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (6 bullish · 4 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 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
—
Operating Margin
-88.1%
Net Margin
-121.2%
EBITDA Margin
-58.7%
ROE
-164.0%
ROA
-61.3%
ROIC
—
EPS
-$1.76
Cash
$27.43M
Total Debt
—
Current Ratio
0.71
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$1.19
Estimated Fair Value (DCF)
-$12.14
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
⚠️ Extreme
Model output is extreme — likely a data/model limitation for this stock, not a reliable fair-value read.
Year 1 Growth Rate
-5.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | -5.0% | $-55.27M | $-50.71M |
| 2 | -3.1% | $-53.55M | $-45.07M |
| 3 | -1.2% | $-52.88M | $-40.83M |
| 4 | 0.6% | $-53.21M | $-37.69M |
| 5 | 2.5% | $-54.54M | $-35.45M |
Base FCF (last actual year)
$-58.18M
Terminal Value
$-860.02M
Present Value of Terminal Value
$-558.95M
Enterprise Value
$-768.70M
Net Debt
$0
Equity Value
$-768.70M
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
$1.08
Tangible Book Value per Share (Tangible NAV)
-$0.39
Sentiment based on basic keywords (not AI) — 9 positive, 10 neutral, 1 negative out of the last 20 articles.
Yahoo · 29.9.2026
Benzinga · 24.9.2026
Benzinga · 1.9.2026
ChartMill · 24.8.2026
Benzinga · 24.8.2026
Motley Fool · 20.8.2026
Moby · 14.8.2026
Yahoo · 14.8.2026
Benzinga · 14.8.2026
Benzinga · 14.8.2026
Benzinga · 14.8.2026
GuruFocus.com · 14.8.2026
Yahoo · 14.8.2026
Benzinga · 14.8.2026
MarketBeat · 14.8.2026
Yahoo · 14.8.2026
ChartMill · 13.8.2026
MT Newswires · 13.8.2026
SeekingAlpha · 13.8.2026
Business Wire · 13.8.2026
Veritone, Inc. (VERI) currently has a StockIQ AI score of 46/100, 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.
VERI currently scores 46/100 (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.
VERI's technical score is 59/100, 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: Price is above the 50-day average; MACD histogram is positive — rising momentum; RSI 54.5 — healthy positive momentum.
Based on the real signals StockIQ computed: Operating margin: -88.1% (negative); Net margin: -121.2% (negative); Operating margin is eroding over time.
StockIQ has no recorded dividend payment history for VERI.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 2 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Steelberg Ryan | Open Market Purchase | 21.8.2026 | 148,810 | +148,810 | $0.85 |
| Steelberg Ryan | Open Market Purchase | 21.8.2026 | 730,284 | +148,810 | $0.85 |
| Steelberg Ryan | Grant/Award from Employer | 14.7.2026 | 925,000 | +925,000 | — |
| Steelberg Ryan | Grant/Award from Employer | 14.7.2026 | 925,000 | +925,000 | — |
| Steelberg Ryan | Grant/Award from Employer | 14.7.2026 | 2,200,868 | +925,000 | — |
| Steelberg Ryan | Grant/Award from Employer | 14.7.2026 | 925,000 | +925,000 | — |
| Zilis Michael | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| KURTZ KNUTE P. | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Morales Francisco | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Keithley Michael | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Taketa Richard H | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| KURTZ KNUTE P. | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Morales Francisco | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Keithley Michael | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Taketa Richard H | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Zilis Michael | Grant/Award from Employer | 7.7.2026 | 120,000 | +120,000 | — |
| Morales Francisco | Grant/Award from Employer | 7.7.2026 | 157,500 | +120,000 | — |
| Morales Francisco | Grant/Award from Employer | 7.7.2026 | 277,500 | +120,000 | — |
| Zilis Michael | Grant/Award from Employer | 7.7.2026 | 222,475 | +120,000 | — |
| Zilis Michael | Grant/Award from Employer | 7.7.2026 | 342,475 | +120,000 | — |
| KURTZ KNUTE P. | Grant/Award from Employer | 7.7.2026 | 259,433 | +120,000 | — |
| KURTZ KNUTE P. | Grant/Award from Employer | 7.7.2026 | 379,433 | +120,000 | — |
| Taketa Richard H | Grant/Award from Employer | 7.7.2026 | 229,416 | +120,000 | — |
| Taketa Richard H | Grant/Award from Employer | 7.7.2026 | 349,416 | +120,000 | — |
| Keithley Michael | Grant/Award from Employer | 7.7.2026 | 180,000 | +120,000 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
18,165,482 shares short as of 2026-09-15 · vs. 17,002,318 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
60.4% of trading volume this week was short selling, vs. 52.6% 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