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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$65.11
▼ $0.73 (-1.1%)
Market data updated: 09/19 12:40 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
$64.75 - $66.57
52-Week Range
$54.46 - $97.38
Beta
—
Next Earnings
27.10.2026
Support
$56.12
Resistance
$76.80
CVNA is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-13.9% (1Y)
Strengths: 10/31 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
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
DCF Fair Value
Estimated fair value: $76.05 vs. price $65.11 (+16.8%)
Fair Value
Biggest negative driver
Daily volatility (ATR)
ATR: 4.9% of price
Risk
What to watch next
When today echoes the past.
88/100
Similarity
15
Historical Matches
92/100
Analog Quality
+8.7%
Median 40D Outcome
0/100
Pattern Consistency
🟢 Bullish
67%
+19.6% … +37.3%
🟡 Base
0%
— … —
🔴 Bearish
33%
-12.6% … -3.2%
Typical timeframe (based on real historical rates clearing a 60% bar): 5 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 67% (95% CI 42%–85%) saw the stock rise within 20 trading days, with a median gain of +17.3%.
Echo #1 — Momentum Breakout
3 occurrence(s) · 33% historical success
Echo #2 — Oversold Reversal
1 occurrence(s) · 100% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 60% (36%–80%) | +1.7% | -0.6% … +5.5% | +0.7% |
| 10D | 80% (55%–93%) | +6.8% | +3.7% … +12.1% | +2.2% |
| 20D | 67% (42%–85%) | +17.3% | -2.2% … +34.0% | +3.6% |
| 40D | 67% (42%–85%) | +8.7% | -4.9% … +35.1% | +8.8% |
| 60D | 73% (48%–89%) | +12.9% | -0.5% … +37.7% | +13.7% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2021-12-01 | 88/100 | ✓ Downtrend | -12.6% | -43.5% |
| 2026-06-02 | 88/100 | Downtrend | +3.5% | +12.9% |
| 2026-06-23 | 87/100 | High Volatility | -3.2% | +1.6% |
| 2019-08-07 | 85/100 | Consolidation | +46.1% | +40.0% |
| 2026-05-15 | 85/100 | Downtrend | +2.6% | +7.9% |
| 2021-09-30 | 84/100 | Consolidation | -1.2% | -23.0% |
| 2021-05-14 | 83/100 | Consolidation | +17.3% | +55.8% |
| 2019-07-18 | 83/100 | High Volatility | +32.3% | +21.2% |
| 2019-10-01 | 83/100 | Consolidation | +26.3% | +46.8% |
| 2020-01-22 | 83/100 | Consolidation | +30.0% | -6.8% |
| 2025-10-13 | 82/100 | Consolidation | -4.7% | +30.8% |
| 2020-11-02 | 82/100 | Consolidation | +35.7% | +41.2% |
| 2026-02-04 | 81/100 | High Volatility | -15.7% | -2.7% |
| 2025-11-06 | 80/100 | High Volatility | +37.8% | +35.5% |
| 2026-03-24 | 79/100 | High Volatility | +38.5% | +10.6% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLY (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
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
54
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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 26, 2026
Then
71
$75.77
Now
54
$65.11
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
76
Quality
58
Value
67
Momentum
13
Risk
48
Sentiment
80
Fundamental
65
Institutional
0
Stocks with a similar DNA right now
SCANNING CVNA...
Recent media coverage of Carvana has primarily focused on its financial performance and market outlook. Analysts, including Morgan Stanley, highlighted Carvana’s record-breaking quarterly results, yet the stock remains down for the year, sparking debate over its valuation. Wall Street analysts generally maintain a positive stance on the company, with an average "Buy" recommendation, despite skepticism about analyst optimism. The discussion centers on Carvana’s growth trajectory amid shifting investor sentiment.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Carvana. News trend score: 80. Reason: 8 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
22
🎯 Conviction (vs. Emotion)
41
Psychology
25
Fundamentals
65
Technical
13
Valuation
67
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)
-2%
Market Narrative
35
Fundamental Reality
41
Narrative Gap
-6
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
CVNA’s psychology is dominated by **FOMO**, driven by positive momentum, moderate volume, and positive sentiment—yet no extreme volatility or overvaluation. Mild **euphoria** and **anchoring** signals suggest traders may be fixated on recent gains near resistance, while the **narrative-reality gap** (11-point) hints at potential misalignment between optimism and fundamentals. The key question: *Is the FOMO-driven momentum sustainable, or will traders pivot if sentiment cools?*
Updated: 09/08/2026, 11:03 PM
What could change this?
👥 What the crowd believes
"The average brokerage recommendation (ABR) for Carvana (CVNA) is equivalent to a Buy."
"Carvana just posted its best quarter ever"
"Carvana (CVNA) combines strong fundamentals (8/10 growth) with a bullish technical setup (8/10) as a bull flag forms below key resistance near $75."
📈 15D 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
Samuel Armstrong Nelson — 95/100
🔴 Weakest match
Jesse Livermore — 11/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with some models seeing explosive growth potential while others flag serious risks or market timing pitfalls. Peter Lynch’s high score suggests CVNA is a 'growth candidate' where the stock price hasn’t yet reflected its underlying momentum, aligning with his focus on underappreciated expansion. Meanwhile, Thorstein Veblen and Walter Bagehot also lean bullish, with Veblen praising real-value creation and Bagehot praising liquidity—both signals of a resilient, scalable business. However, the contrast is stark with cyclical and volatility-focused models like Nelson, Loeb, and Housel, which warn of overbought conditions, capital-threatening risks, or the kind of volatility that scares patient investors. Even Graham’s enterprising approach and Fisher’s quality standards fall short of enthusiasm, while Livermore and Schwager’s low scores reject the stock outright, dismissing it as a trend-defying or non-setup opportunity. The debate hinges on whether CVNA’s growth is sustainable or already priced in—or whether its volatility and market positioning make it a speculative gamble rather than a disciplined bet.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 95
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)
🟢 87
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 85
No obvious signs of crowd mania
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)
🟢 71
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟢 70
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 63
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
🟡 61
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 61
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 57
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
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?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 48
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 43
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)
🔴 34
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)
🔴 34
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)
🔴 20
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 11
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
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 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.
High 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
20.6%
Operating Margin
9.3%
Net Margin
6.9%
EBITDA Margin
9.3%
ROE
40.9%
ROA
10.7%
ROIC
—
EPS
$10.22
Cash
$2.33B
Total Debt
$5.04B
Current Ratio
4.31
Debt/Equity
1.46
How is Fair Value calculated? →
Current Price
$65.11
Estimated Fair Value (DCF)
$76.05
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
+16.8%
🟢 Appears cheap relative to estimated value
Year 1 Growth Rate
18.2%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 18.2% | $1.05B | $964.43M |
| 2 | 14.3% | $1.20B | $1.01B |
| 3 | 10.4% | $1.33B | $1.02B |
| 4 | 6.4% | $1.41B | $1.00B |
| 5 | 2.5% | $1.45B | $940.47M |
Base FCF (last actual year)
$889.00M
Terminal Value
$22.82B
Present Value of Terminal Value
$14.83B
Enterprise Value
$19.77B
Net Debt
$2.71B
Equity Value
$17.06B
*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
$15.34
Tangible Book Value per Share (Tangible NAV)
$15.09
Sentiment based on basic keywords (not AI) — 8 positive, 9 neutral, 3 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
ChartMill · 15.9.2026
Yahoo · 15.9.2026
Business Wire · 15.9.2026
Yahoo · 10.9.2026
Zacks · 10.9.2026
Yahoo · 10.9.2026
StockStory · 10.9.2026
SeekingAlpha · 9.9.2026
Insider Monkey · 9.9.2026
Yahoo · 9.9.2026
Motley Fool · 8.9.2026
Yahoo · 8.9.2026
Yahoo · 8.9.2026
Wards Auto · 8.9.2026
Carvana (CVNA) currently has a StockIQ AI score of 54/100, 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.
CVNA currently scores 54/100 (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.
Per StockIQ's DCF model, CVNA's estimated fair value is $76.05, which is 16.8% above the current price of $65.11. This is one valuation model among several signals in the fair-value category, not a price target.
CVNA's technical score is 13/100, 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: Estimated fair value: $76.05 vs. price $65.11 (+16.8%); Revenue growth (last year): 48.6%; Earnings per share (EPS) growth: 431.4%.
Based on the real signals StockIQ computed: ATR: 4.9% of price; Price is below the 50-day average; Price is below the 200-day average.
StockIQ has no recorded dividend payment history for CVNA.
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 |
|---|---|---|---|---|---|
| GILL DANIEL J. | Tax Withholding in Shares | 1.9.2026 | 7,705 | -7,705 | $72.18 |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 3,750 | -3,750 | — |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 50,000 | -50,000 | — |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 10,000 | -10,000 | — |
| KEETON RYAN S. | Tax Withholding in Shares | 1.9.2026 | 2,879 | -2,879 | $72.18 |
| JENKINS MARK W. | Open Market Sale | 1.9.2026 | 26,344 | -26,344 | $71.83 |
| Taira Thomas | Tax Withholding in Shares | 1.9.2026 | 3,949 | -3,949 | $72.18 |
| GARCIA ERNEST C. III | Tax Withholding in Shares | 1.9.2026 | 7,070 | -7,070 | $72.18 |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 50,000 | +50,000 | $2.01 |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 10,000 | +10,000 | $8.41 |
| JENKINS MARK W. | Exercise of Derivative Securities | 1.9.2026 | 3,750 | +3,750 | $10.39 |
| BREAUX PAUL W. | Tax Withholding in Shares | 1.9.2026 | 4,457 | -4,457 | $72.18 |
| JENKINS MARK W. | Tax Withholding in Shares | 1.9.2026 | 7,016 | -7,016 | $72.18 |
| Palmer Stephen R | Open Market Sale | 1.9.2026 | 1,600 | -1,600 | $71.88 |
| HUSTON BENJAMIN E. | Open Market Sale | 1.9.2026 | 29,474 | -29,474 | $71.36 |
| Palmer Stephen R | Open Market Sale | 1.9.2026 | 3,400 | -3,400 | $71.40 |
| HUSTON BENJAMIN E. | Tax Withholding in Shares | 1.9.2026 | 7,016 | -7,016 | $72.18 |
| HUSTON BENJAMIN E. | Open Market Sale | 1.9.2026 | 20,526 | -20,526 | $71.83 |
| Palmer Stephen R | Tax Withholding in Shares | 1.9.2026 | 3,023 | -3,023 | $72.18 |
| JENKINS MARK W. | Open Market Sale | 1.9.2026 | 37,406 | -37,406 | $71.36 |
| QUAYLE J DANFORTH | Exercise of Derivative Securities | 14.8.2026 | 14,525 | -14,525 | — |
| QUAYLE J DANFORTH | Open Market Sale | 14.8.2026 | 14,525 | -14,525 | $75.00 |
| PLATT IRA J. | Exercise of Derivative Securities | 14.8.2026 | 15,000 | -15,000 | — |
| QUAYLE J DANFORTH | Exercise of Derivative Securities | 14.8.2026 | 14,525 | +14,525 | $3.00 |
| PLATT IRA J. | Open Market Sale | 14.8.2026 | 15,000 | -15,000 | $75.50 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
65,927,875 shares short as of 2026-08-31 · vs. 71,271,408 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
68.6% of trading volume this week was short selling, vs. 57.8% 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