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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$10.11
▼ $0.01 (-0.1%)
Market data updated: 09/20 01:16 AM
Fundamentals updated: 09/20/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$10.11 - $10.12
52-Week Range
$9.90 - $10.17
Beta
—
Next Earnings
—
Support
$10.03
Resistance
$10.17
+1.3% (1Y)
Strengths: 6/15 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
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Daily volatility (ATR)
ATR: 0.1% of price
Risk
Biggest negative driver
MACD
MACD histogram is negative — falling momentum
Technical
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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
48
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
50
Quality
No data available
Value
50
Momentum
34
Risk
64
Sentiment
50
Fundamental
58
Institutional
No data available
Stocks with a similar DNA right now
Not enough comparably-scored stocks yet to show similar matches.
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
🌡️ Emotional Temperature
11
🎯 Conviction (vs. Emotion)
50
Psychology
88
Fundamentals
58
Technical
34
Valuation
50
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price (3M)
+1%
Market Narrative
44
Fundamental Reality
50
Narrative Gap
-6
🧠 StockIQ Psychologist
The market behavior for ALUB strongly suggests traders are fixating on the 0.3% distance below resistance, consistent with anchoring bias. Low FOMO (score 3) and neutral RSI (51) indicate limited urgency, while muted volatility (0.85x ATR) rules out panic. The key question is whether this resistance holds or if traders will adjust expectations when price tests it. The narrow narrative-reality gap (-6) implies no extreme mispricing, reinforcing the dominance of anchoring over speculative impulses.
Updated: 09/06/2026, 11:56 AM
What could change this?
📈 7D 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
Jack Schwager — 20/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between methodologies that prioritize fundamental stability and those that either lack sufficient data or see it as a speculative or cyclical bet. Benjamin Graham and his Enterprising Investor variant both flag a lack of concrete valuation data, leaving their models unable to form a definitive opinion—highlighting how the stock’s opaque fundamentals create uncertainty. Meanwhile, Walter Bagehot’s high score suggests strong liquidity resilience, while Morgan Housel’s near-perfect rating frames it as a patient investor’s ideal quiet compounder, contrasting sharply with Jesse Livermore’s low score, which dismisses it outright as counter-trend. The middle-ground approaches—like Howard Marks’ cautious risk assessment or Samuel Nelson’s cycle-favorable stance—balance optimism with pragmatism, whereas Philip Fisher, Peter Lynch, and Edgar Smith’s low scores stem from insufficient growth or dividend signals. The divergence underscores whether the stock’s stability (or lack of mania, per Mackay) justifies a buy or if its ambiguity makes it a no-go for disciplined traders.
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 100
Not enough balance-sheet/valuation data for a real Graham read
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 15%
Fact → Principle → Simulation
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 100
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 20%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟢 100
The kind of quiet compounder a patient holder could actually stick with
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 98
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 85
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 82
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 76
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 67
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
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)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Peter Lynch
One Up on Wall Street (1989)
🟡 50
Not enough growth data for a real Lynch read
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 47
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 26
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
Jack Schwager
Market Wizards (1989)
🔴 20
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
Not enough dividend/growth data for a real Smith read
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Based on the last 177 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 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 trading range, but the picture isn't yet clear enough on the likely direction.
Low confidence
$10.03
Range Bottom
$10.17
Range Top
50
Trading Days in Range
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
—
Net Margin
—
EBITDA Margin
—
ROE
42.5%
ROA
-2.6%
ROIC
—
EPS
—
Cash
$1.16M
Total Debt
—
Current Ratio
4.62
Debt/Equity
—
אין נתונים היסטוריים זמינים.
אין נתונים היסטוריים זמינים.
אין נתונים היסטוריים זמינים.
Not enough data to compute signals.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
—
Tangible Book Value per Share (Tangible NAV)
—
Not enough data to compute signals.
Sentiment based on basic keywords (not AI) — 0 positive, 0 neutral, 0 negative out of the last 0 articles.
No recent articles found for this stock.
Alussa Energy Acquisition Corp. II (ALUB) currently has a StockIQ AI score of 48/100, rated "Moderate" (a partial score — based on only 6 of 7 categories, some data is currently unavailable). The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
ALUB currently scores 48/100 (Moderate) across the categories we measure (a partial score — based on only 6 of 7 categories, some data is currently unavailable). StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
ALUB's technical score is 34/100, 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: ATR: 0.1% of price; Return on equity (ROE): 42.5% — strong; Current ratio: 4.62.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; -1.4% over the last 3 months relative to the index; Price is below the SAR point — downtrend.
StockIQ has no recorded dividend payment history for ALUB.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 0 sales out of the last 0 filings.
No recent insider transaction filings found for this stock.
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
780 shares short as of 2026-08-31 · vs. 641 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
19.7% of trading volume this week was short selling, vs. 37.2% 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