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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$177.64
▲ $1.40 (+0.8%)
Market data updated: 09/20 04:16 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$172.00 - $177.75
52-Week Range
$106.37 - $207.52
Beta
—
Next Earnings
02.11.2026
Support
$117.89
Resistance
$188.37
PLTR is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+0.4% (1Y)
Strengths: 18/27 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
🟡 Mixed
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 56.2%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $20.89 vs. price $177.64 (-88.2%)
Fair Value
Signal tension
Growth scores strong (82/100), but fair-value analysis scores this stock as relatively expensive (33/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
82/100
Similarity
15
Historical Matches
91/100
Analog Quality
-1.0%
Median 40D Outcome
21/100
Pattern Consistency
🟢 Bullish
47%
+13.8% … +20.6%
🟡 Base
7%
+0.1% … +0.1%
🔴 Bearish
47%
-15.7% … -7.6%
Typical timeframe (based on real historical rates clearing a 60% bar): 10 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 47% (95% CI 25%–70%) saw the stock rise within 20 trading days, with a median gain of +0.1%.
Echo #1 — Trend Acceleration
6 occurrence(s) · 67% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 47% (25%–70%) | +1.0% | -7.0% … +7.2% | +0.8% |
| 10D | 60% (36%–80%) | +6.9% | -4.5% … +12.1% | +1.1% |
| 20D | 47% (25%–70%) | +0.1% | -10.8% … +15.9% | +3.3% |
| 40D | 47% (25%–70%) | -1.0% | -15.2% … +16.1% | +5.6% |
| 60D | 53% (30%–75%) | +3.5% | -8.8% … +22.5% | +9.3% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2024-03-26 | 82/100 | Uptrend | -13.3% | -4.2% |
| 2026-01-12 | 82/100 | Consolidation | -22.2% | -27.3% |
| 2025-07-11 | 81/100 | Uptrend | +31.6% | +26.3% |
| 2025-10-20 | 80/100 | Uptrend | -5.7% | -2.5% |
| 2025-09-09 | 79/100 | Uptrend | +12.2% | +8.5% |
| 2023-12-01 | 78/100 | Uptrend | -18.2% | +23.7% |
| 2024-05-02 | 77/100 | Consolidation | -3.9% | +16.9% |
| 2025-12-08 | 77/100 | Consolidation | +0.1% | -13.4% |
| 2023-07-07 | 77/100 | Uptrend | +18.6% | +3.5% |
| 2025-10-06 | 77/100 | Uptrend | +15.4% | -1.0% |
| 2024-09-04 | 76/100 | ✓ Uptrend | +22.6% | +115.9% |
| 2025-12-26 | 76/100 | Uptrend | -12.2% | -17.9% |
| 2026-04-07 | 76/100 | Consolidation | -9.4% | -13.8% |
| 2025-06-06 | 76/100 | High Volatility | +9.4% | +21.3% |
| 2025-01-27 | 76/100 | High Volatility | +16.4% | +33.6% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLK (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
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
65
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
1d ago · $176.24
Evidence: Narrative Gap moved from 32 to -6 day-over-day
What happened after
Still awaiting outcome
9d ago · $169.53
Evidence: Narrative Gap moved from 33 to 8 day-over-day
What happened after
16d ago · $182.53
Evidence: Euphoria score crossed 55 (now 58)
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 August 26, 2026
Then
71
$172.73
Now
65
$177.64
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
82
Quality
58
Value
33
Momentum
61
Risk
64
Sentiment
80
Fundamental
79
Institutional
0
Stocks with a similar DNA right now
SCANNING PLTR...
Recent media coverage of Palantir Technologies has centered on its strategic push to reshape the AI economy by promoting a "sovereign AI" model, where companies own and control AI assets rather than relying on pay-per-use systems. The company announced a partnership with Nebius Group as its preferred sovereign AI partner, positioning Nebius’s compute infrastructure to operate within Palantir’s enterprise ecosystem. While Palantir’s stock saw modest declines, the focus remains on its vision to challenge traditional AI subscription models and drive enterprise adoption of self-owned AI solutions.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Palantir Technologies. News trend score: 80. Reason: 11 of the last 20 articles are positive, versus 6 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
34
🎯 Conviction (vs. Emotion)
42
Psychology
45
Fundamentals
79
Technical
61
Valuation
33
The price rise has far outpaced the actual improvement in fundamental data.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
+38%
Market Narrative
67
Fundamental Reality
42
Narrative Gap
+25
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests detached euphoria, where extreme valuation metrics (+715% DCF) override recent price weakness (-1.8% ROC). Overconfidence is also elevated, as fundamentals outpace momentum, yet traders persist in valuing the stock far above intrinsic measures. The narrative gap (33) reinforces this disconnect, where optimism (75) vastly exceeds observable reality (42). The key question remains whether this premium will sustain or if a reversion to fundamentals will test the current detached valuation.
Updated: 09/09/2026, 02:54 AM
What could change this?
👥 What the crowd believes
"Palantir Names Nebius Its Preferred Sovereign AI Partner — Nebius compute and inference endpoints will sit inside the Palantir enterprise perimeter"
"Palantir Technologies Inc’s latest partnership with Nebius Group suggests the company is pushing a fundamentally different idea: AI shouldn’t be a recurring subscription. It should become an asset that companies build, improve and keep."
🧠 Market Brain events driving this
📈 15D 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
Walter Bagehot — 100/100
🔴 Weakest match
Benjamin Graham — 18/100
🗣️ Why do they disagree?
The stark divide in verdicts for PLTR reflects deep methodological contrasts: value-focused investors like Benjamin Graham and his Enterprising Investor variant (scores 18 and 31) dismiss it outright, citing insufficient margin of safety or defensive traits, while growth-oriented strategists such as Philip Fisher (95) and Peter Lynch (81) see strong qualitative and momentum-driven merits. Meanwhile, cyclical analysts like Samuel Nelson (82) and market-cycle thinkers like Howard Marks (46) hover in the middle, torn between favorable technical positioning and broader market uncertainty. The contrast between Bagehot’s liquidity-centric optimism (100) and Livermore’s trend-averse caution (55) further highlights whether the stock’s resilience in a downturn or its speculative nature should dictate its fate.
Walter Bagehot
Lombard Street (1873)
🟢 100
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 95
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 80
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 71
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 63
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 55
Moderate risk 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)
🟡 50
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 48
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 46
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 44
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 43
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 39
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)
🟡 36
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 29
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 18
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (5 bullish · 3 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 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.
Gross Margin
82.4%
Operating Margin
31.6%
Net Margin
36.3%
EBITDA Margin
32.2%
ROE
22.0%
ROA
18.3%
ROIC
—
EPS
$0.69
Cash
$1.42B
Total Debt
—
Current Ratio
7.11
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$177.64
Estimated Fair Value (DCF)
$20.89
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-88.2%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
25.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 25.0% | $2.63B | $2.41B |
| 2 | 19.4% | $3.13B | $2.64B |
| 3 | 13.8% | $3.57B | $2.75B |
| 4 | 8.1% | $3.86B | $2.73B |
| 5 | 2.5% | $3.95B | $2.57B |
Base FCF (last actual year)
$2.10B
Terminal Value
$62.31B
Present Value of Terminal Value
$40.50B
Enterprise Value
$53.60B
Net Debt
$0
Equity Value
$53.60B
*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
$2.88
Tangible Book Value per Share (Tangible NAV)
$2.88
Sentiment based on basic keywords (not AI) — 11 positive, 3 neutral, 6 negative out of the last 20 articles.
Yahoo · 19.9.2026
Yahoo · 19.9.2026
SeekingAlpha · 19.9.2026
SeekingAlpha · 19.9.2026
SeekingAlpha · 19.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Benzinga · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
SeekingAlpha · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
SeekingAlpha · 18.9.2026
Palantir Technologies (PLTR) currently has a StockIQ AI score of 65/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
PLTR currently scores 65/100 (Moderate) 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.
Per StockIQ's DCF model, PLTR's estimated fair value is $20.89, which is 88.2% below the current price of $177.64. This is one valuation model among several signals in the fair-value category, not a price target.
PLTR's technical score is 61/100, 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: Revenue growth (last year): 56.2%; Earnings per share (EPS) growth: 231.6%; Free cash flow growth: 84.1%.
Based on the real signals StockIQ computed: Estimated fair value: $20.89 vs. price $177.64 (-88.2%); MACD histogram is negative — falling momentum; P/E: 282.0.
StockIQ has no recorded dividend payment history for PLTR.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 17 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Stat Lauren Elaina Friedman | Open Market Sale | 1.9.2026 | 1,342 | -1,342 | $182.50 |
| Buckley Jeffrey | Open Market Sale | 21.8.2026 | 56,921 | -1,250 | $174.29 |
| Buckley Jeffrey | Open Market Sale | 21.8.2026 | 1,250 | -1,250 | $174.29 |
| Buckley Jeffrey | Open Market Sale | 20.8.2026 | 60,168 | -58 | $172.65 |
| Buckley Jeffrey | Open Market Sale | 20.8.2026 | 58,503 | -1,565 | $174.85 |
| Buckley Jeffrey | Open Market Sale | 20.8.2026 | 58,178 | -325 | $175.42 |
| Buckley Jeffrey | Open Market Sale | 20.8.2026 | 60,068 | -100 | $173.79 |
| Buckley Jeffrey | Open Market Sale | 20.8.2026 | 58,171 | -7 | $176.31 |
| Karp Alexander C. | Conversion of Derivative Security | 20.8.2026 | 6,834,606 | +402,348 | — |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,823,228 | -11,378 | $172.65 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,803,735 | -19,493 | $173.79 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,497,191 | -306,544 | $174.85 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,433,562 | -63,629 | $175.42 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,518,058 | -4,200 | $172.66 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,432,258 | -1,304 | $176.31 |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,506,456 | -11,602 | $173.85 |
| Karp Alexander C. | Exercise of Derivative Securities | 20.8.2026 | 52,887,749 | +877,500 | — |
| Karp Alexander C. | Conversion of Derivative Security | 20.8.2026 | 6,522,258 | +90,000 | — |
| Karp Alexander C. | Conversion of Derivative Security | 20.8.2026 | 52,492,901 | -90,000 | — |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,432,758 | -11,200 | $175.48 |
| Karp Alexander C. | Exercise of Derivative Securities | 20.8.2026 | 16,672,500 | -877,500 | — |
| Karp Alexander C. | Open Market Sale | 20.8.2026 | 6,443,958 | -62,498 | $174.73 |
| Karp Alexander C. | Exercise of Derivative Securities | 20.8.2026 | 1,852,500 | -97,500 | — |
| Karp Alexander C. | Conversion of Derivative Security | 20.8.2026 | 52,582,901 | -402,348 | — |
| Karp Alexander C. | Exercise of Derivative Securities | 20.8.2026 | 52,985,249 | +97,500 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
65,131,893 shares short as of 2026-08-31 · vs. 68,066,419 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
57.1% of trading volume this week was short selling, vs. 59.8% 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