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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NASDAQ
$89.93
▼ $0.10 (-0.1%)
Market data updated: 09/20 04:28 PM
Fundamentals updated: 08/10/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$89.58 - $90.64
52-Week Range
$88.23 - $165.30
Beta
—
Next Earnings
16.11.2026
Support
$88.23
Resistance
$119.44
-33.5% (1Y)
Strengths: 7/31 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
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Leverage risk
Debt/equity: 0.34
Risk
Biggest negative driver
Operating margin
Operating margin: -4.5% (negative)
Fundamental
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
44
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
26
Quality
47
Value
45
Momentum
26
Risk
54
Sentiment
92
Fundamental
49
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 Baidu Inc. focuses primarily on mixed analyst sentiment and shifting earnings expectations surrounding its artificial intelligence ambitions. While Wall Street brokerages maintain optimistic
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Baidu Inc. ADR. News trend score: 92. Reason: 11 of the last 20 articles are positive, versus 4 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)
36
Psychology
62
Fundamentals
49
Technical
26
Valuation
45
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
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.
Price (3M)
-20%
Market Narrative
55
Fundamental Reality
36
Narrative Gap
+19
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
BIDU’s dominant **Loss Aversion** (77) reflects a defensive stance after a steep 22.4% drop, with traders clinging near support (1.7% above). The **Confirmation Bias** (34) and **Anchoring** (66) further reinforce this, as positive sentiment (98/100) clashes with deteriorating fundamentals (flat revenue, shrinking margins). The **narrative gap** (+26) suggests investors remain wedded to outdated optimism, while muted volume (0.64x avg) hints at cautious positioning. The key question: *Will traders finally accept losses, or will fading momentum (-0.9% ROC) force a break below support?*
Updated: 09/09/2026, 03:19 AM
What could change this?
👥 What the crowd believes
"Baidu announced inclusion in both the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect programs, effective September 7, widening liquidity and shareholder base."
"Baidu, Inc. ('a leading AI company with strong Internet foundation')"
"Citi reiterated a Buy rating and $166 price target on Baidu."
"$1000 invested in Baidu 20 years ago would be worth significantly more today, outperforming the market."
📈 13D 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
Samuel Armstrong Nelson — 93/100
🔴 Weakest match
Philip Fisher — 7/100
🗣️ Why do they disagree?
Based on their documented principles, the model estimates that Graham (both defensive and enterprising) and Nelson see BIDU as attractive or oversold, reflected in scores in the high 80s, while Mackay, Marks‑cycle and Bagehot give moderate but still positive marks, emphasizing liquidity and lack of mania. In contrast, Marks, Schwager, Loeb and especially the efficient‑market, Smith, Housel, Livermore, Lynch, Veblen and Fisher assign low to very low scores, highlighting concerns about volatility, high expectations, insufficient growth quality, and limited upside relative to broader markets. This split stems from the value‑oriented frameworks rewarding deep discounts and cycle position versus growth‑oriented and behavioral frameworks penalizing instability and speculative characteristics. Consequently, the methodologies diverge because they weight different fundamentals such as margin of safety, market cycles, liquidity, and growth quality.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 93
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 89
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 86
Deep statistical discount — a real Enterprising Investor candidate
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 77
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
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
Walter Bagehot
Lombard Street (1873)
🟢 65
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 61
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 58
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 56
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)
🟡 38
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?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 36
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 28
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
Peter Lynch
One Up on Wall Street (1989)
🔴 22
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 12
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 7
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
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 (1 bullish · 8 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.
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.
Gross Margin
43.9%
Operating Margin
-4.5%
Net Margin
3.6%
EBITDA Margin
—
ROE
1.8%
ROA
1.0%
ROIC
—
EPS
$13.28
Cash
$24.61B
Total Debt
$97.08B
Current Ratio
1.76
Debt/Equity
0.34
How is Fair Value calculated? →
Current Price
$89.93
Estimated Fair Value (DCF)
-$950.56
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
⚠️ Extreme
Model output is extreme — likely a data/model limitation for this stock, not a reliable fair-value read.
Year 1 Growth Rate
1.6%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 1.6% | $-16.69B | $-15.31B |
| 2 | 1.8% | $-16.99B | $-14.30B |
| 3 | 2.0% | $-17.33B | $-13.38B |
| 4 | 2.3% | $-17.73B | $-12.56B |
| 5 | 2.5% | $-18.17B | $-11.81B |
Base FCF (last actual year)
$-16.43B
Terminal Value
$-286.51B
Present Value of Terminal Value
$-186.21B
Enterprise Value
$-253.57B
Net Debt
$72.47B
Equity Value
$-326.04B
*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
$96.84
Tangible Book Value per Share (Tangible NAV)
$87.96
Sentiment based on basic keywords (not AI) — 11 positive, 5 neutral, 4 negative out of the last 20 articles.
Yahoo · 16.9.2026
Benzinga · 16.9.2026
SeekingAlpha · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 14.9.2026
Benzinga · 13.9.2026
Yahoo · 11.9.2026
Yahoo · 10.9.2026
Zacks · 10.9.2026
MT Newswires · 8.9.2026
Benzinga · 8.9.2026
Yahoo · 8.9.2026
24/7 Wall St. · 8.9.2026
Benzinga · 8.9.2026
Benzinga · 8.9.2026
Yahoo · 7.9.2026
Insider Monkey · 7.9.2026
Yahoo · 7.9.2026
PR Newswire · 7.9.2026
Yahoo · 7.9.2026
Baidu Inc. ADR (BIDU) currently has a StockIQ AI score of 44/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
BIDU currently scores 44/100 (Weak) 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.
BIDU's technical score is 26/100, 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: Debt/equity: 0.34; Current ratio: 1.76; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: Operating margin: -4.5% (negative); Operating margin is eroding over time; Calmar: -0.27 (3y annualized return -12.1% / max drawdown 45.5%).
StockIQ has no recorded dividend payment history for BIDU.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 22 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Li Yanhong Robin | Exercise of Derivative Securities | 9.8.2026 | 342,096 | -342,096 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 9.8.2026 | 342,096 | +342,096 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 9.8.2026 | 9,994,520 | +342,096 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 9.8.2026 | 342,104 | -342,096 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 8.8.2026 | 510,808 | +510,808 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 8.8.2026 | 510,808 | -510,808 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 8.8.2026 | 1,021,624 | -510,808 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 8.8.2026 | 9,652,424 | +510,808 | — |
| He Haijian | Exercise of Derivative Securities | 7.8.2026 | 151,536 | -151,536 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 7.8.2026 | 527,200 | +527,200 | — |
| He Haijian | Exercise of Derivative Securities | 7.8.2026 | 151,536 | +151,536 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 7.8.2026 | 527,200 | -527,200 | — |
| He Haijian | Exercise of Derivative Securities | 7.8.2026 | 151,536 | +151,536 | — |
| He Haijian | Exercise of Derivative Securities | 7.8.2026 | 454,624 | -151,536 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 7.8.2026 | 9,141,616 | +527,200 | — |
| Li Yanhong Robin | Exercise of Derivative Securities | 7.8.2026 | 1,581,624 | -527,200 | — |
| Li Yanhong Robin | Grant/Award from Employer | 6.8.2026 | 1,966,824 | +1,966,824 | — |
| He Haijian | Grant/Award from Employer | 6.8.2026 | 122,792 | +122,792 | — |
| He Haijian | Grant/Award from Employer | 6.8.2026 | 122,792 | +122,792 | — |
| Li Yanhong Robin | Grant/Award from Employer | 6.8.2026 | 1,966,824 | +1,966,824 | — |
| Foo Jixun | Open Market Sale | 21.5.2026 | 122,584 | -122,584 | $16.32 |
| Foo Jixun | Open Market Sale | 21.5.2026 | 0 | -122,584 | $16.32 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
10,676,417 shares short as of 2026-08-31 · vs. 8,255,121 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
48.7% of trading volume this week was short selling, vs. 50.7% 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