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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$181.21
▼ $10.72 (-5.6%)
Market data updated: 09/15 04:52 AM
News analyzed: 09/15/2026
Market Cap
Not available
Day Range
$177.53 - $185.20
52-Week Range
$160.81 - $386.34
Beta
—
Next Earnings
—
CBRS is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-41.7% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 0/11 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
No notable strengths identified.
Computed directly from the same signals behind the score above — not AI-generated.
Biggest negative driver
Daily volatility (ATR)
ATR: 8.9% of price
Risk
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
45
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
No data available
Quality
No data available
Value
No data available
Momentum
24
Risk
42
Sentiment
100
Fundamental
No data available
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 Cerebras Systems Inc. has centered on its strong financial momentum, particularly its massive $25.4 billion backlog—nearly 29 times its expected annual revenue—driven largely by a high-profile agreement with OpenAI. Investors like Baron Asset Fund and hedge funds such as Coatue have taken positions, signaling growing confidence in its AI-focused wafer-scale chip architecture as an alternative to Nvidia. Analysts also highlight its IPO performance and potential as a key player in AI infrastructure, though some caution remains about market risks.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Cerebras Systems Inc.. News trend score: 100. Reason: 14 of the last 20 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
23
🎯 Conviction (vs. Emotion)
50
Psychology
62
Fundamentals
—
Technical
24
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
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.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
-15%
Market Narrative
64
Fundamental Reality
50
Narrative Gap
+14
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests **Loss Aversion** dominates, as the stock’s 15.8% drop over three months creates a psychological resistance to further declines. Meanwhile, the elevated **Euphoria** score (27)—despite weak momentum—implies investors may be clinging to positive sentiment (92/100) while avoiding losses. The absence of panic or herding signals stability, but the narrative gap (5-point divergence) hints at potential misalignment between investor expectations and reality. The key question: *Will the positive sentiment sustain, or will the 18.7% distance from support trigger defensive positioning?*
Updated: 09/09/2026, 02:53 AM
What could change this?
👥 What the crowd believes
""The AI computing specialist's latest results were strong. The real story is a backlog worth almost 29 times this year's expected revenue.""
""One OpenAI Agreement Is Behind Much of It""
""Coatue Management’s Q2 filing disclosed ... a reportable position in newly public Cerebras.""
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 — 85/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock’s divergent verdicts reflect stark contrasts between methodologies that rely on qualitative or speculative signals versus those rooted in strict valuation, trend-following, or risk-avoidance principles. Charles Mackay’s crowd-behavior model and the efficient-market approach both hover near the mid-60s, suggesting a speculative or momentum-driven interest, while the bulk of traditional fundamentalists—Graham, Fisher, Lynch, and Nelson—all score at 50 due to insufficient data, indicating they lack the concrete metrics to form a decisive opinion. Meanwhile, the most cautious or trend-averse investors—Livermore, Marks, Loeb, and Schwager—score poorly, either because the stock’s trajectory contradicts their core rules or because its risk/valuation profile triggers red flags. The extreme lows from Veblen and Housel further underscore a disconnect: Veblen sees it as growth-chasing without substance, while Housel’s volatility-driven warning implies it’s a stock that might test even the most patient long-term holders.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 64
Some signs of crowd excitement building
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)
🟡 55
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 50
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: 0%
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%
Walter Bagehot
Lombard Street (1873)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 50
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: 0%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 39
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
Jack Schwager
Market Wizards (1989)
🟡 38
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 28
Risk/valuation combination Marks would flag as a caution sign
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 26
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 20
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 15
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
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
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 84 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 7 bearish · 3 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.
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.
Sentiment based on basic keywords (not AI) — 14 positive, 6 neutral, 0 negative out of the last 20 articles.
Yahoo · 14.9.2026
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Yahoo · 11.9.2026
Yahoo · 10.9.2026
TechCrunch · 10.9.2026
SeekingAlpha · 10.9.2026
SeekingAlpha · 10.9.2026
Yahoo · 9.9.2026
Motley Fool · 9.9.2026
Yahoo · 9.9.2026
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StockIQ doesn't currently have enough real data to compute a reliable score for Cerebras Systems Inc. (CBRS) — only 3 of 7 categories are available right now. Rather than show a misleading number, this page shows which data is missing instead.
StockIQ doesn't give buy/sell recommendations — and for CBRS specifically, there currently isn't enough real data (only 3 of 7 categories available) to state even a factual score reliably. Check back once more data is available.
CBRS's technical score is 24/100, 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: 8.9% of price; Price is below the 50-day average; MACD histogram is negative — falling momentum.
StockIQ has no recorded dividend payment history for CBRS.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 16 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Vishria Eric | Other Transaction | 8.9.2026 | 44,507 | +44,507 | — |
| Feldman Andrew D. | Other Transaction | 8.9.2026 | 120 | +120 | — |
| Feldman Andrew D. | Conversion of Derivative Security | 4.9.2026 | 37,441 | -37,441 | — |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 1,200 | -1,200 | $204.06 |
| Feldman Andrew D. | Exercise of Derivative Securities | 4.9.2026 | 37,441 | -37,441 | — |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 1,400 | -1,400 | $214.98 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 7,439 | -7,439 | $211.85 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 800 | -800 | $206.30 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 6,721 | -6,721 | $209.99 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 1,707 | -1,707 | $208.84 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 100 | -100 | $216.62 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 3,324 | -3,324 | $213.04 |
| Feldman Andrew D. | Exercise of Derivative Securities | 4.9.2026 | 37,441 | +37,441 | — |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 3,897 | -3,897 | $213.95 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 600 | -600 | $215.81 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 900 | -900 | $202.97 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 6,153 | -6,153 | $210.91 |
| Lie Sean | Exercise of Derivative Securities | 4.9.2026 | 46,141 | +46,141 | — |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 300 | -300 | $201.75 |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 1,100 | -1,100 | $199.18 |
| Lie Sean | Open Market Sale | 4.9.2026 | 53,460 | -53,460 | $210.16 |
| Feldman Andrew D. | Conversion of Derivative Security | 4.9.2026 | 37,441 | +37,441 | — |
| Lie Sean | Gift | 4.9.2026 | 16,038 | -16,038 | — |
| Feldman Andrew D. | Open Market Sale | 4.9.2026 | 300 | -300 | $200.79 |
| Lie Sean | Conversion of Derivative Security | 4.9.2026 | 46,141 | -46,141 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
13,332,403 shares short as of 2026-08-31 · vs. 12,895,548 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
54.3% of trading volume this week was short selling, vs. 53.6% 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