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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$3.92
▼ $0.02 (-0.5%)
Market data updated: 09/20 10:34 AM
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$3.92 - $3.96
52-Week Range
$3.50 - $6.47
Beta
—
Next Earnings
18.11.2026
Support
$3.76
Resistance
$4.71
RERE is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-8.4% (1Y)
🟡 Moderate
Strengths: 0/13 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
🔴 Bearish
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
Calmar Ratio (return vs. drawdown)
Calmar: 0.43 (3y annualized return 24.5% / max drawdown 57.4%)
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
36
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
13
Risk
42
Sentiment
92
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 ATRenew Inc. highlights its strong second-quarter performance, with revenue surging 32.4% year-over-year to RMB 6.6 billion, driven by rising demand for recycled electronics amid higher memory prices. The company also reported a 78.6% increase in net income and completed a share repurchase program. Analysts note its expansion into overseas markets and robust secondary smartphone demand, though its stock has declined 23.25% year-to-date despite a strong three-year return.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about ATRenew Inc. American Depositary Shares (every three of which representing two Class A ordinary shares). News trend score: 92. Reason: 10 of the last 20 articles are positive, versus 3 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
18
🎯 Conviction (vs. Emotion)
50
Psychology
45
Fundamentals
—
Technical
13
Valuation
—
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 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.
Price (3M)
+0%
Market Narrative
55
Fundamental Reality
50
Narrative Gap
+5
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for RERE suggests a **narrative-reality gap** (11-point divergence) where high news sentiment (92/100) and neutral RSI (44) create a disconnect from technical weakness—momentum (-0.2% ROC) and underperformance vs. peers. The absence of dominant psychological states implies a **cautious, sentiment-driven stance** rather than extreme bias. Key question: Will sentiment sustain momentum despite technical underperformance, or will reality (e.g., volume trends) correct the narrative gap?
Updated: 09/09/2026, 07:19 AM
👥 What the crowd believes
"revenue grew 32.4% in the second quarter"
"kept buying back shares even as it pushed into new markets"
"Rising Memory Prices Boost Demand For Used Electronics"
📈 10D 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
Samuel Armstrong Nelson — 91/100
🔴 Weakest match
Jesse Livermore — 11/100
🗣️ Why do they disagree?
Based on each investor's documented principles, the model estimates that Nelson’s very high score (92) reflects a favorable cycle position near oversold, while Mackay’s solid score (76) notes an absence of crowd mania, suggesting moderate optimism. Marks‑cycle (60) places the stock mid‑cycle and Marks (50) calls the business good but possibly over‑hyped, yielding a neutral stance. Graham, Fisher, Lynch, Bagehot and Graham‑Enterprising all sit at the data‑insufficient midpoint (50), indicating that value, growth and quality frameworks cannot form a clear view due to missing fundamentals. Schwager (47) sees no clear edge, Loeb (35) flags a capital‑risk threat, and the efficient‑market view (33) prefers a low‑cost index, all pointing to heightened caution among risk‑averse or passive schools. The more contrarian or behavioral thinkers—Veblen (20), Smith (14), Livermore (13) and Housel (11)—assign low scores, highlighting concerns about growth for its own sake, negative trends and volatility that could deter patient investors.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 91
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)
🟢 76
No obvious signs of crowd mania
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)
🟡 59
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%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 50
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
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)
🟡 48
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 40
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 35
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
Morgan Housel
The Psychology of Money (2020)
🔴 26
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
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 14
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 11
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
Based on the last 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 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.
A trading range after a decline, but still without clear (volume-based) confirmation of an accumulation phase.
Low confidence
$3.76
Range Bottom
$4.71
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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 6.4.2026 | $0.100 |
| 5.4.2026 | $0.100 |
Sentiment based on basic keywords (not AI) — 10 positive, 7 neutral, 3 negative out of the last 20 articles.
Benzinga · 31.8.2026
Yahoo · 27.8.2026
Insider Monkey · 27.8.2026
SeekingAlpha · 24.8.2026
Yahoo · 24.8.2026
Simply Wall St. · 24.8.2026
Zacks Small Cap Research · 21.8.2026
Motley Fool · 21.8.2026
GuruFocus.com · 20.8.2026
MT Newswires · 20.8.2026
MarketBeat · 20.8.2026
SeekingAlpha · 20.8.2026
SeekingAlpha · 20.8.2026
InvestorsHub · 20.8.2026
Benzinga · 20.8.2026
MT Newswires · 20.8.2026
PR Newswire · 20.8.2026
Benzinga · 20.8.2026
Benzinga · 20.8.2026
Benzinga · 20.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for ATRenew Inc. American Depositary Shares (every three of which representing two Class A ordinary shares) (RERE) — 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 RERE 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.
RERE's technical score is 13/100, 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: Calmar: 0.43 (3y annualized return 24.5% / max drawdown 57.4%); Price is below the 50-day average; Price is below the 200-day average.
Yes — RERE has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 11,578 | +11,578 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 7,847 | +7,847 | — |
| Chen Chen | Grant/Award from Employer | 18.8.2026 | 5,572 | +5,572 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 5,703 | +5,703 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 6,985 | +6,985 | — |
| Chen Chen | Grant/Award from Employer | 18.8.2026 | 14,466 | +14,466 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 76,796 | +76,796 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 37,975 | +37,975 | — |
| Chen Chen | Grant/Award from Employer | 18.8.2026 | 3,308 | +3,308 | — |
| Chen Chen | Grant/Award from Employer | 18.8.2026 | 64,247 | +64,247 | — |
| Chen Chen | Grant/Award from Employer | 18.8.2026 | 4,050 | +4,050 | — |
| Wang Yongliang | Grant/Award from Employer | 18.8.2026 | 12,162 | +12,162 | — |
| Wang Jingbo | Exercise of Derivative Securities | 18.6.2026 | 15,000 | +15,000 | — |
| Wang Jingbo | Exercise of Derivative Securities | 18.6.2026 | 10,000 | -10,000 | — |
| Wang Jingbo | Exercise of Derivative Securities | 18.6.2026 | 68,250 | +15,000 | — |
| Wang Jingbo | Exercise of Derivative Securities | 18.6.2026 | 10,000 | -10,000 | — |
| Zhu Rui | Open Market Sale | 10.6.2026 | 4,762 | -4,762 | $4.00 |
| Zhu Rui | Exercise of Derivative Securities | 10.6.2026 | 15,000 | +15,000 | — |
| Zhu Rui | Exercise of Derivative Securities | 10.6.2026 | 10,000 | -10,000 | — |
| Zhu Rui | Exercise of Derivative Securities | 10.6.2026 | 60,000 | +15,000 | — |
| Zhu Rui | Open Market Sale | 10.6.2026 | 55,238 | -4,762 | $4.00 |
| Zhu Rui | Exercise of Derivative Securities | 10.6.2026 | 20,000 | -10,000 | — |
| Zhu Rui | Exercise of Derivative Securities | 26.3.2026 | 30,000 | -30,000 | — |
| Zhu Rui | Exercise of Derivative Securities | 26.3.2026 | 45,000 | +45,000 | — |
| Zhu Rui | Exercise of Derivative Securities | 26.3.2026 | 45,000 | +45,000 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
2,636,287 shares short as of 2026-08-31 · vs. 1,233,243 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
47.0% of trading volume this week was short selling, vs. 50.3% 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