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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$303.25
▲ $9.69 (+3.3%)
Market data updated: 09/19 07:01 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$52.61B
Day Range
$293.48 - $303.95
52-Week Range
$97.89 - $499.48
Beta
—
Next Earnings
02.11.2026
Support
$244.61
Resistance
$421.42
ALAB is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+20.4% (1Y)
Strengths: 18/29 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
🟢 Bullish
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): 115.1%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $40.04 vs. price $303.25 (-86.8%)
Fair Value
Signal tension
Growth scores strong (82/100), but fair-value analysis scores this stock as relatively expensive (33/100) — the growth story and the current price aren't fully aligned.
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
65
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
today · $303.25
Evidence: Euphoria score crossed 55 (now 58)
What happened after
Still awaiting outcome
today · $303.25
Evidence: FOMO score jumped from 11 to 38 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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
82
Quality
58
Value
33
Momentum
62
Risk
48
Sentiment
86
Fundamental
76
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 Astera Labs, Inc. has primarily focused on its stock performance amid speculation about potential inclusion in the S&P 500 index. The company saw a notable 9.8% gain on September 4, driven by investor anticipation of an S&P 500 addition, though it was later excluded. Its rally reflected broader interest in AI connectivity stocks beyond traditional AI hardware leaders like Nvidia. The focus remains on its position in the AI infrastructure sector and market sentiment tied to index rebalancing.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Astera Labs, Inc.. News trend score: 86. Reason: 11 of the last 20 articles are positive, versus 5 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
51
🎯 Conviction (vs. Emotion)
45
Psychology
58
Fundamentals
76
Technical
62
Valuation
33
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Price (3M)
-27%
Market Narrative
81
Fundamental Reality
45
Narrative Gap
+36
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests a dominant **overconfidence** bias, where price momentum significantly exceeds fundamental growth and valuation metrics are detached from intrinsic worth. Euphoria and FOMO are secondary but consistent with extreme sentiment and momentum-driven buying. The narrative-reality gap (37) reinforces disconnect between price action and fundamentals. The key open question is whether this disconnect will persist or if a reversion to mean becomes evident. Loss aversion remains muted despite recent underperformance, indicating confidence may outweigh caution.
Updated: 09/08/2026, 07:29 PM
What could change this?
👥 What the crowd believes
"Astera Labs rallying Friday on speculation it could be added to the S&P 500"
"Astera Labs jumped 9.8% as investors broadened AI trade into connectivity suppliers"
"Astera Labs gained alongside other stocks in mixed market session amid Fed rate speculation"
🧠 Market Brain events driving this
📈 9D 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
Walter Bagehot — 100/100
🔴 Weakest match
Benjamin Graham — 18/100
🗣️ Why do they disagree?
The stark divide in verdicts for ALAB reflects deep methodological differences in how these investors evaluate stocks. At the top, Walter Bagehot and Philip Fisher see unshakable strength—Bagehot’s focus on liquidity and Fisher’s emphasis on company quality both suggest this stock is fundamentally sound, even in turbulent conditions. Meanwhile, Peter Lynch’s growth-oriented lens highlights undervaluation relative to future potential, while Thorstein Veblen’s alignment of growth with real value creation echoes a similar optimism, though with slightly less conviction. On the opposite end, Benjamin Graham’s rigid defensive criteria and Jack Schwager’s disciplined trading approach dismiss the stock outright, while Howard Marks and Samuel Nelson flag overvaluation or stretched market cycles. The middle ground—where investors like Morgan Housel and Gerald Loeb acknowledge moderate risk—shows a cautious but not entirely dismissive stance, balancing potential with caution. The contrast underscores whether one prioritizes qualitative fundamentals (Fisher, Bagehot) or quantitative safety (Graham, Schwager) in decision-making.
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 95
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 88
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
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?
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 60
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 49
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 43
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 40
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 37
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🔴 33
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
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?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 25
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 22
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 18
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
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 an uptrend (7 bullish · 3 bearish · 2 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
75.7%
Operating Margin
20.3%
Net Margin
25.7%
EBITDA Margin
21.1%
ROE
16.1%
ROA
14.3%
ROIC
—
EPS
$1.32
Cash
$167.61M
Total Debt
—
Current Ratio
10.24
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$303.25
Estimated Fair Value (DCF)
$40.04
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-86.8%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
25.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 25.0% | $352.20M | $323.12M |
| 2 | 19.4% | $420.44M | $353.88M |
| 3 | 13.8% | $478.25M | $369.30M |
| 4 | 8.1% | $517.11M | $366.33M |
| 5 | 2.5% | $530.04M | $344.49M |
Base FCF (last actual year)
$281.76M
Terminal Value
$8.36B
Present Value of Terminal Value
$5.43B
Enterprise Value
$7.19B
Net Debt
$0
Equity Value
$7.19B
*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
$7.59
Tangible Book Value per Share (Tangible NAV)
$7.59
Sentiment based on basic keywords (not AI) — 11 positive, 4 neutral, 5 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Benzinga · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Benzinga · 14.9.2026
Yahoo · 14.9.2026
Astera Labs, Inc. (ALAB) currently has a StockIQ AI score of 65/100, 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.
ALAB currently scores 65/100 (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, ALAB's estimated fair value is $40.04, which is 86.8% below the current price of $303.25. This is one valuation model among several signals in the fair-value category, not a price target.
ALAB's technical score is 62/100, which currently reads as bullish — 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): 115.1%; Earnings per share (EPS) growth: 290.6%; Free cash flow growth: 175.1%.
Based on the real signals StockIQ computed: Estimated fair value: $40.04 vs. price $303.25 (-86.8%); ATR: 7.3% of price; Price is below the 50-day average.
StockIQ has no recorded dividend payment history for ALAB.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 25 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 5,409 | -5,409 | $274.79 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 32 | -32 | $276.75 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 148 | -148 | $275.53 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 429 | -429 | $274.79 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 785 | -785 | $275.53 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 52 | -52 | $273.64 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 273 | -273 | $273.64 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 650 | -650 | $273.64 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 1,867 | -1,867 | $275.53 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 172 | -172 | $276.75 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 2,275 | -2,275 | $274.79 |
| Dyckerhoff Stefan A | Open Market Sale | 2.9.2026 | 407 | -407 | $276.75 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 1,288 | -1,288 | $282.13 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 196 | -196 | $288.95 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 225 | -225 | $287.93 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 74 | -74 | $285.18 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 868 | -868 | $283.18 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 491 | -491 | $284.18 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 2,835 | -2,835 | $281.16 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 588 | -588 | $287.00 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 1,019 | -1,019 | $287.93 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 20,991 | -20,991 | $278.33 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 2,677 | -2,677 | $286.99 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 8,179 | -8,179 | $279.28 |
| ALBA MANUEL | Open Market Sale | 1.9.2026 | 13,070 | -13,070 | $280.04 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
9,033,499 shares short as of 2026-08-31 · vs. 9,109,856 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
42.1% of trading volume this week was short selling, vs. 50.5% 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