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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$4.25
▼ $0.12 (-2.6%)
Market data updated: 09/15 03:51 PM
Fundamentals updated: 09/15/2026
News analyzed: 09/15/2026
Market Cap
$1.60B
Day Range
$4.23 - $4.38
52-Week Range
$3.87 - $6.62
Beta
—
Next Earnings
26.10.2026
-13.5% (1Y)
Strengths: 4/25 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
🔴 Bearish
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: 27.8%
Growth
Biggest negative driver
Operating margin
Operating margin: -4.1% (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
38
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
60
Quality
58
Value
55
Momentum
9
Risk
26
Sentiment
68
Fundamental
21
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 JetBlue Airways Corporation has primarily centered on its strategic expansion into premium travel services, particularly the launch of **BlueFirst**, a new domestic first-class offering under its **JetForward** initiative. The focus includes enhanced seating, technology, and hospitality aimed at attracting high-end passengers. Additionally, there’s mention of investor speculation, with JetBlue’s stock showing volatility amid mixed market performance and activist investor activity. No other significant company-specific developments are highlighted in the provided sources.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about JetBlue Airways Corporation. News trend score: 68. Reason: 9 of the last 20 articles are positive, versus 6 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
28
🎯 Conviction (vs. Emotion)
41
Psychology
93
Fundamentals
21
Technical
9
Valuation
55
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price (3M)
-17%
Market Narrative
40
Fundamental Reality
41
Narrative Gap
-1
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
JBLU’s psychology is fragmented, with **anchoring** (score 22) as the most prominent but subtle bias. The 3.9% proximity to support hints traders may cling to near-term levels, while the narrative gap (+6) and stagnant fundamentals (0% revenue growth) subtly reinforce confirmation bias. However, weak momentum (-5.5% ROC) and subdued volatility (0.74x ATR) undermine euphoric or panic-driven behavior. The key question: *Will traders exit near support or hold despite weak fundamentals?*
Updated: 09/08/2026, 08:54 AM
What could change this?
👥 What the crowd believes
"JBLU's BlueFirst is expected to add premium seating, upgraded tech, priority perks and enhanced hospitality as part of its JetForward strategy."
"JetBlue Airways’ push into premium cabins sits against a mixed share price backdrop, with the stock at US$4.64 after a 1-month share price return that declined 25.52%."
"JetBlue unveils its first domestic first-class cabin."
📈 3D 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
Samuel Armstrong Nelson — 99/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for JBLU reflects deep methodological differences in how these investors assess risk, valuation, and market psychology. The highest-scoring models—like Samuel Armstrong Nelson’s cycle analysis (94) and Charles Mackay’s crowd psychology (86)—suggest the stock may be undervalued relative to its trend or free from speculative frenzy, positioning it as a potential buy. In contrast, the lowest scores—from Morgan Housel (0) and Walter Bagehot (6)—flag extreme volatility and liquidity risks, aligning with their focus on preserving capital and avoiding panic-driven exits. Meanwhile, value-oriented investors like Benjamin Graham (57) and Philip Fisher (29) split on whether the stock meets their strict criteria for intrinsic worth or long-term growth, while trend-followers like Jesse Livermore (27) and Gerald Loeb (13) dismiss it outright due to perceived downside. The middle-ground methodologies—such as Howard Marks’ mixed verdict (52) or Peter Lynch’s caution (63)—highlight a stock that may have *some* merit but lacks the clear edge or margin of safety their frameworks demand.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 99
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)
🟢 91
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)
🟢 89
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
Jack Schwager
Market Wizards (1989)
🟢 67
A real, disciplined setup with favorable reward/risk
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 63
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 57
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
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
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
🟡 47
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 30
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 29
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)
🔴 27
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 18
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
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
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Based on the last 277 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 11 bearish · 0 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
—
Operating Margin
-4.1%
Net Margin
-6.6%
EBITDA Margin
3.5%
ROE
-28.4%
ROA
-3.6%
ROIC
—
EPS
-$1.66
Cash
$1.95B
Total Debt
—
Current Ratio
0.74
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
$5.85
Tangible Book Value per Share (Tangible NAV)
$4.71
Sentiment based on basic keywords (not AI) — 9 positive, 5 neutral, 6 negative out of the last 20 articles.
SeekingAlpha · 14.9.2026
Benzinga · 11.9.2026
Yahoo · 10.9.2026
Yahoo · 10.9.2026
Benzinga · 10.9.2026
Benzinga · 10.9.2026
Yahoo · 6.9.2026
Insider Monkey · 6.9.2026
Yahoo · 4.9.2026
Trefis · 4.9.2026
Yahoo · 3.9.2026
Zacks · 3.9.2026
Yahoo · 3.9.2026
Simply Wall St. · 3.9.2026
Yahoo · 2.9.2026
TheStreet · 2.9.2026
SeekingAlpha · 2.9.2026
Yahoo · 1.9.2026
Barrons.com · 1.9.2026
The Wall Street Journal · 1.9.2026
JetBlue Airways Corporation (JBLU) currently has a StockIQ AI score of 38/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
JBLU currently scores 38/100 (Weak) 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.
JBLU's technical score is 9/100, 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: Earnings per share (EPS) growth: 27.8%; Net income growth: 24.3%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: Operating margin: -4.1% (negative); Net margin: -6.6% (negative); ATR: 5.1% of price.
StockIQ has no recorded dividend payment history for JBLU.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 19 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Clements Carol Ann | Open Market Sale | 31.8.2026 | 2,000 | -2,000 | $4.71 |
| Clements Carol Ann | Open Market Sale | 30.7.2026 | 2,000 | -2,000 | $5.75 |
| Hurley Ursula L | Open Market Sale | 30.7.2026 | 2,977 | -2,977 | $6.00 |
| Hurley Ursula L | Open Market Sale | 30.7.2026 | 74,276 | -74,276 | $5.75 |
| Clements Carol Ann | Open Market Sale | 30.7.2026 | 183,896 | -2,000 | $5.75 |
| Hurley Ursula L | Open Market Sale | 30.7.2026 | 285,375 | -2,977 | $6.00 |
| Hurley Ursula L | Open Market Sale | 30.7.2026 | 211,099 | -74,276 | $5.75 |
| Geraghty Joanna | Tax Withholding in Shares | 29.5.2026 | 135,873 | -135,873 | $5.38 |
| Geraghty Joanna | Exercise of Derivative Securities | 29.5.2026 | 245,700 | -245,700 | — |
| Geraghty Joanna | Exercise of Derivative Securities | 29.5.2026 | 245,700 | +245,700 | — |
| Geraghty Joanna | Exercise of Derivative Securities | 29.5.2026 | 836,201 | +245,700 | — |
| Geraghty Joanna | Tax Withholding in Shares | 29.5.2026 | 700,328 | -135,873 | $5.38 |
| Geraghty Joanna | Exercise of Derivative Securities | 29.5.2026 | 0 | -245,700 | — |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 26,415 | -26,415 | $5.41 |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 585 | -585 | $5.42 |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 5,000 | -5,000 | $5.40 |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 62,479 | -5,000 | $5.40 |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 36,064 | -26,415 | $5.41 |
| Sharma Vivek | Open Market Sale | 28.5.2026 | 35,479 | -585 | $5.42 |
| Southerton Dawn | Open Market Sale | 4.5.2026 | 18,193 | -18,193 | $5.00 |
| Southerton Dawn | Open Market Sale | 4.5.2026 | 0 | -18,193 | $5.00 |
| Winkelmann Thomas | Open Market Sale | 1.5.2026 | 22,094 | -22,094 | $4.70 |
| Christie Warren | Open Market Sale | 1.5.2026 | 2,680 | -2,680 | $4.65 |
| Winkelmann Thomas | Open Market Sale | 1.5.2026 | 13,379 | -13,379 | $4.71 |
| Winkelmann Thomas | Open Market Sale | 1.5.2026 | 13,379 | -22,094 | $4.70 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
92,945,483 shares short as of 2026-08-31 · vs. 95,500,899 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
65.3% of trading volume this week was short selling, vs. 63.0% 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