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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$0.35
▲ $0.01 (+2.7%)
Market data updated: 09/15 12:34 PM
News analyzed: 09/15/2026
Market Cap
Not available
Day Range
$0.33 - $0.35
52-Week Range
$0.15 - $2.22
Beta
—
Next Earnings
16.11.2026
CAN is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-58.0% (1Y)
🟡 Moderate
Strengths: 5/14 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
🟡 Mixed
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 12.5% of price
Risk
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
49
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 · $0.35
Evidence: Narrative Gap moved from 9 to -17 day-over-day
What happened after
Still awaiting outcome
14d ago · $0.37
Evidence: -16.0pp vs. sector average today
What happened after
14d ago · $0.37
Evidence: attention score 63/100
What happened after
14d ago · $0.37
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
14d ago · $0.37
Evidence: 1.5x recent average volume
What happened after
14d ago · $0.37
Evidence: 11 bullish / 0 bearish technical signals agreeing
What happened after
🐂🐻 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 September 1, 2026
Then
82
$0.37
Now
49
$0.35
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
No data available
Quality
No data available
Value
No data available
Momentum
51
Risk
34
Sentiment
50
Fundamental
No data available
Institutional
100
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.
The recent media coverage for **Canaan Inc.** has primarily focused on its upcoming **Q2 earnings report**, scheduled for September 8, 2026. Analysts anticipate a **$0.06 loss per share** and **$40.92 million in revenue**, though they maintain a **Buy rating** while slightly reducing price targets. The stock surged **23% to $0.38** on September 3, boosting its market cap to **$229.3 million**, amid broader gains in Asian equities. No direct company-specific news beyond earnings expectations was found.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Canaan Inc.. News trend score: 50. Reason: The mix of positive and negative articles is balanced — 7 vs. 7 out of the last 20 articles.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
20
🎯 Conviction (vs. Emotion)
50
Psychology
24
Fundamentals
—
Technical
51
Valuation
—
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+0%
Market Narrative
33
Fundamental Reality
50
Narrative Gap
-17
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for CAN suggests a **FOMO-driven momentum trade**—evidenced by strong ROC (16.7%) and neutral RSI (52), though volume (0.86x avg) lacks conviction. Euphoria is muted by the stock’s 13.2% below its 200-day average, while anchoring near a 39.7% resistance gap hints at hesitation. The narrative-reality gap (14 points) implies traders may overestimate momentum’s sustainability. The key question: *Will momentum sustain despite the stock’s long-term underperformance?*
Updated: 09/08/2026, 06:12 PM
What could change this?
👥 What the crowd believes
"analysts maintain Buy ratings but cut price targets"
"Shares of crypto-linked stocks are trading higher as Bitcoin prices hit $80,000"
"Canaan (NASDAQ:CAN) stock rose 23.0% to $0.38 during Thursday’s regular session"
🧠 Market Brain events driving this
📈 8D 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
Charles Mackay — 94/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock’s divergent verdicts reflect stark contrasts between methodologies prioritizing growth, risk assessment, and market psychology. Thorstein Veblen’s high score suggests alignment with real value creation, while Charles Mackay’s near-threshold approval implies no obvious speculative frenzy—both signaling a more fundamental, less speculative opportunity. In contrast, Howard Marks’ cautious optimism (66) and his cycle-adjusted take (60) highlight mid-cycle risks, whereas Jesse Livermore’s neutral stance and Jack Schwager’s indecision underscore a lack of clear directional momentum. The sharp drop-off to Loeb’s low score (21) and Housel’s outright rejection (0) reveals deep concerns about volatility and risk tolerance, contrasting sharply with the more forgiving assessments from Veblen and Mackay. Meanwhile, Graham, Fisher, Lynch, and Bagehot’s uniform ‘not enough data’ verdicts point to a dearth of concrete fundamentals, leaving only subjective or cyclical frameworks (like Nelson’s overbought warning) to guide interpretation.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 94
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)
🟢 80
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: 30%
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 70
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 70
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 58
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
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%
Jack Schwager
Market Wizards (1989)
🔴 35
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 28
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 21
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 17
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 278 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (5 bullish · 6 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 uptrend 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.
Sentiment based on basic keywords (not AI) — 7 positive, 6 neutral, 7 negative out of the last 20 articles.
MT Newswires · 11.9.2026
Benzinga · 11.9.2026
Benzinga · 11.9.2026
SeekingAlpha · 10.9.2026
MT Newswires · 10.9.2026
MT Newswires · 9.9.2026
Benzinga · 9.9.2026
Benzinga · 9.9.2026
Yahoo · 8.9.2026
GuruFocus.com · 8.9.2026
MT Newswires · 8.9.2026
SeekingAlpha · 8.9.2026
Yahoo · 8.9.2026
MarketBeat · 8.9.2026
Benzinga · 8.9.2026
Benzinga · 8.9.2026
Benzinga · 8.9.2026
Benzinga · 8.9.2026
MT Newswires · 4.9.2026
Yahoo · 4.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Canaan Inc. (CAN) — 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 CAN 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.
CAN's technical score is 51/100, which currently reads as neutral — 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: Price is above the 50-day average; RSI 54.3 — healthy positive momentum; +5.5% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: ATR: 12.5% of price; Calmar: -0.46 (3y annualized return -43.1% / max drawdown 94.7%); Price is below the 200-day average.
StockIQ has no recorded dividend payment history for CAN.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 7 purchases and 0 sales out of the last 7 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Zhang Nangeng | Open Market Purchase | 18.6.2026 | 250,000 | +250,000 | $0.33 |
| Zhang Nangeng | Open Market Purchase | 18.6.2026 | 3,301,635 | +250,000 | $0.33 |
| Zhang Nangeng | Open Market Purchase | 17.6.2026 | 250,000 | +250,000 | $0.34 |
| Zhang Nangeng | Open Market Purchase | 17.6.2026 | 3,051,635 | +250,000 | $0.34 |
| Zhang Nangeng | Open Market Purchase | 16.6.2026 | 250,000 | +250,000 | $0.35 |
| Cheng Jin | Open Market Purchase | 15.6.2026 | 65,000 | +65,000 | $0.35 |
| Zhang Nangeng | Open Market Purchase | 15.6.2026 | 250,000 | +250,000 | $0.35 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
66,514,054 shares short as of 2026-08-31 · vs. 65,307,695 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
55.4% of trading volume this week was short selling, vs. 51.4% 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