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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$11.29
▼ $0.04 (-0.4%)
Market data updated: 09/20 05:47 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$11.08 - $11.46
52-Week Range
$7.67 - $20.64
Beta
—
Next Earnings
29.10.2026
Support
$8.18
Resistance
$13.66
MNTN is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-43.8% (1Y)
Strengths: 10/26 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
Revenue growth (last year)
Revenue growth (last year): 28.6%
Growth
Biggest negative driver
Net margin
Net margin: -2.2% (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
51
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
74
Quality
58
Value
50
Momentum
43
Risk
40
Sentiment
56
Fundamental
40
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 MNTN, Inc. has centered on its legal and financial developments. Analysts have adjusted price targets downward, with Citigroup and Tigress Financial lowering theirs to $16 and $22, respectively, while maintaining positive ratings. The company advanced its patent infringement case against Alpha Modus after a federal court denied their challenge. Additionally, MNTN announced Frank Lee’s appointment as Senior Vice President of Agency Partnerships and participated in investor conferences, with earnings and cash flow performance also highlighted.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about MNTN, Inc.. News trend score: 56. Reason: 4 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
17
🎯 Conviction (vs. Emotion)
41
Psychology
20
Fundamentals
40
Technical
43
Valuation
50
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, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
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)
+35%
Market Narrative
36
Fundamental Reality
41
Narrative Gap
-5
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
MNTN’s psychology score of 30 reflects detached euphoria—price momentum and valuation strength dominate, while peer underperformance and neutral sentiment curb herd behavior. The narrative gap (8 points) hints at a disconnect between market enthusiasm and fundamentals, but overconfidence remains muted. Key uncertainty lies in whether momentum sustains or if sentiment cools as peers outperform. The absence of panic or anchoring suggests stability, but euphoria may persist if price continues defying peer trends.
Updated: 09/09/2026, 06:47 AM
What could change this?
👥 What the crowd believes
"Citigroup lowers price target from $17 to $16"
"Alpha Modus Patent Challenge Denied, Advancing MNTN Infringement Case"
"MNTN Appoints Frank Lee as Senior Vice President of Agency Partnerships"
"MNTN (MNTN) Q2 2026 Earnings Call Transcript"
📈 10D 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
Walter Bagehot — 100/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for MNTN reflects deep philosophical and methodological splits among these investors. Walter Bagehot’s near-perfect score highlights a focus on liquidity and resilience, suggesting the stock could weather financial stress—an approach rooted in systemic stability. Meanwhile, Peter Lynch’s high score leans into growth potential, implying the stock’s price hasn’t yet reflected its future earnings, a classic value-growth crossover. On the other end, Morgan Housel’s zero score flags volatility as a behavioral red flag, while Loeb and Malkiel/Bogle warn of unsustainable risk or inefficiency in active selection. The middle-ground methodologies—like Fisher, Graham, or Marks—acknowledge strengths but temper enthusiasm with concerns about overvaluation or lack of exceptional quality, illustrating how even similar frameworks (e.g., Graham’s defensive vs. enterprising investor) can yield wildly different conclusions.
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
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 91
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)
🟢 88
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)
🟢 77
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
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 75
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 57
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 56
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 49
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 40
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 39
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)
🔴 35
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
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 a downtrend (3 bullish · 7 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
77.2%
Operating Margin
8.3%
Net Margin
-2.2%
EBITDA Margin
11.7%
ROE
-2.1%
ROA
-1.7%
ROIC
—
EPS
-$0.13
Cash
$210.16M
Total Debt
—
Current Ratio
4.18
Debt/Equity
—
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
$6.01
Tangible Book Value per Share (Tangible NAV)
$4.99
Sentiment based on basic keywords (not AI) — 4 positive, 13 neutral, 3 negative out of the last 20 articles.
Yahoo · 17.9.2026
MT Newswires · 9.9.2026
Yahoo · 9.9.2026
Business Wire · 9.9.2026
Yahoo · 4.9.2026
Simply Wall St. · 4.9.2026
InvestorsHub · 25.8.2026
GlobeNewswire · 25.8.2026
Business Wire · 19.8.2026
Benzinga · 13.8.2026
MT Newswires · 13.8.2026
Benzinga · 13.8.2026
Motley Fool · 11.8.2026
SeekingAlpha · 6.8.2026
Business Wire · 5.8.2026
MT Newswires · 5.8.2026
Moby · 5.8.2026
Benzinga · 5.8.2026
MarketBeat · 5.8.2026
SeekingAlpha · 5.8.2026
MNTN, Inc. (MNTN) currently has a StockIQ AI score of 51/100, 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.
MNTN currently scores 51/100 (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.
MNTN's technical score is 43/100, 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: Revenue growth (last year): 28.6%; Earnings per share (EPS) growth: 94.5%; Net income growth: 80.5%.
Based on the real signals StockIQ computed: Net margin: -2.2% (negative); ATR: 5.2% of price; Calmar: -0.63 (3y annualized return -47.3% / max drawdown 75.3%).
StockIQ has no recorded dividend payment history for MNTN.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 9 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Katz Michael J. | Grant/Award from Employer | 3.9.2026 | 29,717 | +29,717 | — |
| Baroda Ventures LLC | Open Market Sale | 18.8.2026 | 275,115 | -275,115 | $12.75 |
| Baroda Ventures LLC | Open Market Sale | 14.8.2026 | 33,617 | -33,617 | $12.56 |
| Baroda Ventures LLC | Open Market Sale | 13.8.2026 | 26,823 | -26,823 | $12.53 |
| Kaiser Joseph John | Grant/Award from Employer | 6.7.2026 | 1,701 | +1,701 | $11.39 |
| Kaiser Joseph John | Grant/Award from Employer | 6.7.2026 | 27,311 | +1,701 | $11.39 |
| Kaiser Joseph John | Grant/Award from Employer | 11.6.2026 | 23,446 | +23,446 | — |
| Johnson Joe Boyd | Grant/Award from Employer | 11.6.2026 | 23,446 | +23,446 | — |
| Bhat Phalachandra | Grant/Award from Employer | 11.6.2026 | 23,446 | +23,446 | — |
| Weisman Tony | Grant/Award from Employer | 11.6.2026 | 46,893 | +46,893 | — |
| Ries Grant | Grant/Award from Employer | 11.6.2026 | 23,446 | +23,446 | — |
| Ries Grant | Grant/Award from Employer | 11.6.2026 | 117,196 | +23,446 | — |
| Kaiser Joseph John | Grant/Award from Employer | 11.6.2026 | 25,610 | +23,446 | — |
| Johnson Joe Boyd | Grant/Award from Employer | 11.6.2026 | 23,446 | +23,446 | — |
| Bhat Phalachandra | Grant/Award from Employer | 11.6.2026 | 38,620 | +23,446 | — |
| Kaiser Joseph John | Grant/Award from Employer | 5.4.2026 | 2,164 | +2,164 | $8.95 |
| Kaiser Joseph John | Grant/Award from Employer | 5.4.2026 | 2,164 | +2,164 | $8.95 |
| Partovi Hadi | Open Market Sale | 3.12.2025 | 86,665 | -86,665 | $13.39 |
| Partovi Hadi | Open Market Sale | 3.12.2025 | 0 | -86,665 | $13.39 |
| Partovi Hadi | Open Market Sale | 2.12.2025 | 168,257 | -168,257 | $13.39 |
| Partovi Hadi | Open Market Sale | 2.12.2025 | 86,665 | -168,257 | $13.39 |
| Partovi Hadi | Open Market Sale | 1.12.2025 | 192,598 | -192,598 | $13.46 |
| Partovi Hadi | Open Market Sale | 1.12.2025 | 254,922 | -192,598 | $13.46 |
| Baroda Ventures LLC | Conversion of Derivative Security | 6.11.2025 | 6,711,098 | -6,711,098 | — |
| Baroda Ventures LLC | Conversion of Derivative Security | 6.11.2025 | 6,711,098 | +6,711,098 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
4,309,752 shares short as of 2026-08-31 · vs. 4,576,470 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
55.9% 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