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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$6.81
▼ $0.08 (-1.1%)
Market data updated: 09/20 10:21 AM
News analyzed: 09/20/2026
Market Cap
$2.95B
Day Range
$6.58 - $6.95
52-Week Range
$6.37 - $24.92
Beta
—
Next Earnings
25.11.2026
Support
$6.36
Resistance
$8.63
PONY is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-61.0% (1Y)
🔴 Weak
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
Daily volatility (ATR)
ATR: 5.1% 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
33
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
19
Risk
34
Sentiment
68
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 **Pony AI Inc.** has centered on its rapid expansion in the robotaxi sector, with headlines highlighting surging revenue and fleet growth. Reports note that the company achieved single-vehicle profitability in key Chinese cities like Guangzhou and Shenzhen, though profitability remains challenged by high R&D and depreciation costs. Analysts also mention competitive pressure in the global robo-taxi market, particularly with Waymo’s expansion into Germany and Tesla’s presence. Additionally, a stock rating upgrade and earnings call insights further underscore its growth trajectory amid operational scaling.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Pony AI Inc.. News trend score: 68. Reason: 4 of the last 20 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
9
🎯 Conviction (vs. Emotion)
50
Psychology
46
Fundamentals
—
Technical
19
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Extreme momentum, price far above its moving average, and a large premium over fair value.
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.
Price (3M)
-18%
Market Narrative
48
Fundamental Reality
50
Narrative Gap
-2
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
Market behavior suggests traders are hesitant to amplify losses, consistent with **loss aversion** dominating. The 3-month decline (-12.2%) and muted volume (0.74x avg) reflect caution, while peer underperformance (-2.3% vs. +3.3%) rules out herd-driven moves. The narrow narrative-reality gap (2 points) implies no extreme mispricing, but the absence of panic (volatility near baseline) hints at disciplined risk aversion. The key question: *Will traders exit gradually or hold for recovery signals?*
Updated: 09/09/2026, 11:19 AM
What could change this?
👥 What the crowd believes
"Pony AI (PONY) sees robotaxi fares soar as global fleet expands"
"High R&D and depreciation costs are undermining its high valuation"
"Pony AI launches its first autonomous ride service on Uber in Europe, starting operations in Zagreb"
📈 12D 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 — 91/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The methodologies here split sharply between those who see potential in PONY’s technical or cyclical positioning and those who flag fundamental or behavioral red flags. Samuel Armstrong Nelson’s high score suggests the stock may be near a cyclical trough, while Charles Mackay’s moderate approval implies no obvious speculative frenzy—both pointing to a contrarian or momentum-friendly setup. In contrast, Jack Schwager’s disciplined technical view further reinforces a structured entry, though Howard Marks’ mid-cycle warning and the low scores from Graham, Fisher, and Lynch highlight a lack of clear fundamental justification. Meanwhile, the sharp divergence—from Gerald Loeb’s risk aversion and Jesse Livermore’s trend opposition to Morgan Housel’s volatility rejection—reflects deep disagreement: some see it as a speculative gamble, while others dismiss it outright as either overpriced or emotionally driven.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 91
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)
🟢 83
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)
🟢 82
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
Jack Schwager
Market Wizards (1989)
🟡 62
No clear edge either way
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)
🟡 59
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
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)
🔴 26
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)
🔴 20
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
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)
🔴 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 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 8 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 uptrend 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) — 4 positive, 15 neutral, 1 negative out of the last 20 articles.
SeekingAlpha · 18.9.2026
SeekingAlpha · 18.9.2026
Yahoo · 18.9.2026
SeekingAlpha · 17.9.2026
MT Newswires · 14.9.2026
PR Newswire · 14.9.2026
Yahoo · 14.9.2026
Benzinga · 14.9.2026
MT Newswires · 10.9.2026
Yahoo · 10.9.2026
PR Newswire · 10.9.2026
PR Newswire · 10.9.2026
Zacks · 3.9.2026
Benzinga · 31.8.2026
Insider Monkey · 27.8.2026
The Wall Street Journal · 26.8.2026
Barrons.com · 26.8.2026
Benzinga · 26.8.2026
Motley Fool · 25.8.2026
SeekingAlpha · 21.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Pony AI Inc. (PONY) — 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 PONY 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.
PONY's technical score is 19/100, 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: 5.1% of price; Calmar: -0.33 (3y annualized return -26.9% / max drawdown 82.4%); Price is below the 50-day average.
StockIQ has no recorded dividend payment history for PONY.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 3 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Mo Luyi | Open Market Sale | 26.6.2026 | 14,460 | -14,460 | $6.86 |
| ZHANG NING | Open Market Sale | 26.6.2026 | 17,347 | -17,347 | $6.86 |
| Wang Haojun | Open Market Sale | 26.6.2026 | 13,751 | -13,751 | $6.86 |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 10,000 | -10,000 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 417 | -417 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 3,667 | -3,667 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 9,062 | -9,062 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 15,000 | -15,000 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 944 | -944 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 962 | +962 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 10,000 | +10,000 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 20,000 | -20,000 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 23,750 | +23,750 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 3,667 | +3,667 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 944 | +944 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 1,250 | -1,250 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 20,000 | +20,000 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 23,750 | -23,750 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 962 | -962 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 3,667 | -3,667 | — |
| Wang Haojun | Exercise of Derivative Securities | 25.6.2026 | 10,000 | -10,000 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 10,000 | +10,000 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 3,667 | +3,667 | — |
| ZHANG NING | Exercise of Derivative Securities | 25.6.2026 | 1,250 | +1,250 | — |
| Mo Luyi | Exercise of Derivative Securities | 25.6.2026 | 15,000 | +15,000 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
23,171,216 shares short as of 2026-08-31 · vs. 22,972,817 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
76.7% of trading volume this week was short selling, vs. 58.7% 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