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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$2.94
▲ $0.09 (+3.0%)
Market data updated: 09/22 09:46 AM
News analyzed: 09/22/2026
Market Cap
$506.43M
Day Range
$2.81 - $2.96
52-Week Range
$2.07 - $4.36
Beta
—
Next Earnings
23.11.2026
Support
$2.42
Resistance
$3.31
BZUN is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-29.4% (1Y)
🟡 Moderate
Strengths: 7/13 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
🟢 Bullish
Technical Trend
🟢 Bullish
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
Calmar Ratio (return vs. drawdown)
Calmar: -0.06 (3y annualized return -3.5% / max drawdown 56.1%)
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
75
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
20d ago · $2.82
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
21d ago · $2.84
Evidence: -4.9pp vs. sector average today
What happened after
21d ago · $2.84
Evidence: 10 bullish / 1 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
84
$2.84
Now
75
$2.94
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
71
Risk
42
Sentiment
100
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.
Recent media coverage of Baozun Inc. has centered on its strong Q2 2026 earnings performance, highlighting a 7% revenue growth driven by AI-driven efficiency and brand expansion. Analysts upgraded the stock to a "Buy," praising its profitability improvements and raised FY28 profit target, while noting AI as a key growth driver. The company’s ADRs saw modest trading fluctuations amid broader Asian equity movements. Overall, the focus remains on its financial resilience and strategic tech investments.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Baozun Inc.. News trend score: 100. Reason: 13 of the last 20 articles are positive, versus 2 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)
50
Psychology
78
Fundamentals
—
Technical
71
Valuation
—
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.
Extreme momentum, price far above its moving average, and a large premium over fair value.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+6%
Market Narrative
69
Fundamental Reality
50
Narrative Gap
+19
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
BZUN’s psychology is dominated by euphoria, as extreme positive sentiment, strong momentum, and a 5.1% premium above its 200-day average create a narrative of sustained upward momentum. The absence of panic or anchoring suggests traders are embracing gains rather than reacting defensively. However, the narrative-reality gap (16 points) hints at potential misalignment—positive sentiment may not yet reflect deeper fundamentals. The key question is whether this euphoria is justified by underlying strength or merely speculative momentum.
Updated: 09/05/2026, 05:33 AM
What could change this?
👥 What the crowd believes
"Baozun stock posts strong Q2 2026 results and raises its FY28 profit target"
"Revenue climbs 7% as AI and Brand..."
"Baozun shares rise as earnings beat forecasts and profitability improves"
📈 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
Thorstein Veblen — 80/100
🔴 Weakest match
Morgan Housel — 3/100
🗣️ Why do they disagree?
The stark divide in verdicts for BZUN reflects deep methodological differences in how these investors assess risk, valuation, and market psychology. Thorstein Veblen’s high score suggests he sees genuine value creation in the company’s growth trajectory, aligning with his focus on real economic contributions. Meanwhile, Nelson and Mackay—with moderate scores—spot cyclical or speculative opportunities, though with caution, as their models flag oversold conditions or crowd-driven excitement. In contrast, the majority of methodologies—particularly Graham, Fisher, and Lynch—lack sufficient data to form a definitive opinion, highlighting a fundamental information gap. At the other end, the lowest scores from Loeb, Housel, and Schwager’s wizards stem from risk aversion, volatility concerns, or a lack of clear technical setups, underscoring their preference for stability or disciplined trading rules over speculative bets.
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 55
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 54
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
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)
🟡 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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 39
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 32
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 30
Looks late-cycle — the position Marks would treat with extra caution
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)
🔴 22
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 16
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
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)
🔴 3
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 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (7 bullish · 3 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.
Low 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) — 13 positive, 5 neutral, 2 negative out of the last 20 articles.
Benzinga · 10.9.2026
Yahoo · 31.8.2026
Motley Fool · 31.8.2026
Yahoo · 28.8.2026
MT Newswires · 28.8.2026
Yahoo · 28.8.2026
The Fly · 28.8.2026
Yahoo · 28.8.2026
24/7 Wall St. · 28.8.2026
SeekingAlpha · 28.8.2026
Yahoo · 27.8.2026
GuruFocus.com · 27.8.2026
Yahoo · 27.8.2026
MT Newswires · 27.8.2026
Yahoo · 27.8.2026
MarketBeat · 27.8.2026
SeekingAlpha · 27.8.2026
Yahoo · 27.8.2026
InvestorsHub · 27.8.2026
Yahoo · 27.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Baozun Inc. (BZUN) — 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 BZUN 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.
BZUN's technical score is 71/100, 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: Price is above the 50-day average; Price is above the 200-day average; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: Calmar: -0.06 (3y annualized return -3.5% / max drawdown 56.1%); Price is below the SAR point — downtrend; CMF 20 days: -0.31.
StockIQ has no recorded dividend payment history for BZUN.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 17 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Wu Junhua | Open Market Purchase | 2.9.2026 | 13,500 | +13,500 | $2.85 |
| Yu Bin Helen | Exercise of Derivative Securities | 28.8.2026 | 16,809 | -16,809 | — |
| Qiu Wenbin | Grant/Award from Employer | 28.8.2026 | 174,000 | +174,000 | — |
| Yu Bin Helen | Grant/Award from Employer | 28.8.2026 | 18,000 | +18,000 | — |
| Yu Bin Helen | Exercise of Derivative Securities | 28.8.2026 | 5,603 | +5,603 | — |
| Ye Changqing | Exercise of Derivative Securities | 30.6.2026 | 17,269 | +17,269 | — |
| Ye Changqing | Exercise of Derivative Securities | 30.6.2026 | 51,809 | -51,809 | — |
| Ye Changqing | Exercise of Derivative Securities | 30.6.2026 | 17,269 | +17,269 | — |
| Ye Changqing | Exercise of Derivative Securities | 30.6.2026 | 42,000 | -51,809 | — |
| Wu Junhua | Open Market Purchase | 24.6.2026 | 29,000 | +29,000 | $2.85 |
| Wu Junhua | Open Market Purchase | 24.6.2026 | 253,770 | +29,000 | $2.85 |
| Qiu Wenbin | Open Market Purchase | 22.6.2026 | 10,000 | +10,000 | $2.81 |
| Qiu Wenbin | Open Market Purchase | 22.6.2026 | 1,623,872 | +10,000 | $2.81 |
| Qiu Wenbin | Open Market Purchase | 18.6.2026 | 10,000 | +10,000 | $2.77 |
| Qiu Wenbin | Open Market Purchase | 18.6.2026 | 1,613,872 | +10,000 | $2.77 |
| Qiu Wenbin | Open Market Purchase | 17.6.2026 | 10,000 | +10,000 | $2.83 |
| Wu Junhua | Open Market Purchase | 17.6.2026 | 18,500 | +18,500 | $2.84 |
| Wu Junhua | Open Market Purchase | 17.6.2026 | 224,770 | +18,500 | $2.84 |
| Qiu Wenbin | Open Market Purchase | 17.6.2026 | 1,603,872 | +10,000 | $2.83 |
| Qiu Wenbin | Open Market Purchase | 16.6.2026 | 10,000 | +10,000 | $2.72 |
| Qiu Wenbin | Open Market Purchase | 16.6.2026 | 1,593,872 | +10,000 | $2.72 |
| Qiu Wenbin | Open Market Purchase | 15.6.2026 | 10,000 | +10,000 | $2.79 |
| Qiu Wenbin | Open Market Purchase | 15.6.2026 | 1,583,872 | +10,000 | $2.79 |
| Qiu Wenbin | Open Market Purchase | 12.6.2026 | 10,000 | +10,000 | $2.72 |
| Qiu Wenbin | Open Market Purchase | 12.6.2026 | 1,573,872 | +10,000 | $2.72 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
612,354 shares short as of 2026-08-31 · vs. 585,713 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
33.2% of trading volume this week was short selling, vs. 40.6% 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