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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$229.92
▼ $6.08 (-2.6%)
Market data updated: 09/20 08:08 AM
Fundamentals updated: 09/20/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$228.60 - $238.96
52-Week Range
$98.01 - $292.72
Beta
—
Next Earnings
02.11.2026
Support
$203.24
Resistance
$292.72
DDOG is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+68.1% (1Y)
Strengths: 11/27 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): 27.7%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $70.24 vs. price $229.92 (-69.5%)
Fair Value
What to watch next
When today echoes the past.
89/100
Similarity
15
Historical Matches
92/100
Analog Quality
+11.1%
Median 40D Outcome
33/100
Pattern Consistency
🟢 Bullish
67%
+10.9% … +16.5%
🟡 Base
0%
— … —
🔴 Bearish
33%
-12.4% … -7.4%
Typical timeframe (based on real historical rates clearing a 60% bar): 5 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 67% (95% CI 42%–85%) saw the stock rise within 20 trading days, with a median gain of +10.8%.
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 | 80% (55%–93%) | +3.1% | +1.8% … +5.3% | +0.5% |
| 10D | 60% (36%–80%) | +1.2% | -3.1% … +12.1% | +0.8% |
| 20D | 67% (42%–85%) | +10.8% | -5.2% … +15.1% | +1.1% |
| 40D | 67% (42%–85%) | +11.1% | -2.4% … +15.6% | +1.2% |
| 60D | 60% (36%–80%) | +6.4% | -3.4% … +21.1% | +3.3% |
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 |
|---|---|---|---|---|
| 2020-12-02 | 89/100 | High Volatility | +5.3% | +0.0% |
| 2025-09-03 | 84/100 | Consolidation | +15.2% | +19.5% |
| 2023-10-17 | 81/100 | ✓ Consolidation | +20.6% | +36.0% |
| 2021-01-14 | 80/100 | Uptrend | +10.8% | -7.5% |
| 2024-08-16 | 80/100 | Downtrend | -3.1% | +6.4% |
| 2021-04-19 | 79/100 | High Volatility | -7.8% | +19.1% |
| 2023-10-02 | 79/100 | ✓ Consolidation | -12.4% | +34.6% |
| 2020-09-14 | 77/100 | Consolidation | +33.0% | +18.3% |
| 2025-01-30 | 77/100 | Consolidation | -18.3% | -28.7% |
| 2023-09-07 | 77/100 | ✓ Consolidation | -7.4% | +22.7% |
| 2023-07-03 | 77/100 | Uptrend | +16.9% | -10.6% |
| 2025-09-23 | 76/100 | Consolidation | +13.6% | -0.6% |
| 2024-09-18 | 76/100 | Consolidation | +11.3% | +38.5% |
| 2024-06-18 | 75/100 | Consolidation | +2.0% | -6.2% |
| 2026-06-22 | 73/100 | High Volatility | +15.1% | +4.3% |
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
55
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
4d ago · $230.05
Evidence: Euphoria score crossed 55 (now 55)
What happened after
Still awaiting outcome
🐂🐻 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
51
Quality
58
Value
33
Momentum
62
Risk
48
Sentiment
100
Fundamental
45
Institutional
0
Stocks with a similar DNA right now
SCANNING DDOG...
Recent media coverage of Datadog has focused on its stock performance amid broader market trends, particularly in the software sector. After a pullback in August, Datadog’s shares surged around September 3 following positive software equity momentum and strong second-quarter results from competitors like Snowflake, which saw a 37% growth announcement. Analysts briefly questioned its valuation during a market correction, but Datadog held steady compared to peers like Snowflake, which later experienced profit-taking. The company’s stock movements were tied to broader tech sector rebounds and investor reactions to earnings guidance.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Datadog. News trend score: 100. Reason: 15 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
45
🎯 Conviction (vs. Emotion)
41
Psychology
54
Fundamentals
45
Technical
62
Valuation
33
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price rise has far outpaced the actual improvement in fundamental data.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
+3%
Market Narrative
80
Fundamental Reality
41
Narrative Gap
+39
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior (score 56) suggests traders are fixated on the 2.2% support level, likely due to its proximity. Overconfidence (45) and euphoria (35) appear misplaced given the stock’s 199% premium to DCF and weak momentum, while loss aversion (26) hints at lingering reluctance to exit. The narrative-reality gap (25) widens expectations vs. fundamentals, reinforcing anchoring. The key question: will traders break support or hold near-term, or will overconfidence persist despite lagging fundamentals?
Updated: 09/09/2026, 04:52 AM
What could change this?
👥 What the crowd believes
"Datadog shares rose 5.7% in premarket trading following Snowflake’s quarterly results"
"Datadog’s pullback tests a rich valuation"
"software equities broadly gained momentum following a pullback in treasury yields"
🧠 Market Brain events driving this
📈 12D 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 DDOG reflects deep methodological contrasts: Bagehot and Nelson’s high scores (100 and 95) suggest a resilient liquidity position and favorable cycle placement, aligning with their focus on stability and timing. In contrast, Graham’s near-zero scores (18 and 31) reject the stock outright, dismissing it as too speculative for his defensive or even enterprising investor frameworks. Meanwhile, Fisher and Marks (cycle) offer cautious mid-range endorsements, acknowledging solid fundamentals but not exceptional quality or extreme undervaluation, while Lynch and Housel see it as a holdable but unremarkable bet. The tension between cyclical bulls (Nelson, Marks-cycle) and contrarian bears (Graham, Livermore) underscores whether DDOG’s momentum or valuation justifies its price—with Veblen’s low score (21) further questioning whether its growth is justified by intrinsic value.
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)
🟢 66
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 53
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 48
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 47
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)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 43
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 43
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 39
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 35
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 23
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 21
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 21
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
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 downtrend with no defined trading range in the period examined.
High 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
80.0%
Operating Margin
-1.3%
Net Margin
3.1%
EBITDA Margin
0.1%
ROE
2.9%
ROA
1.6%
ROIC
—
EPS
$0.31
Cash
$401.31M
Total Debt
—
Current Ratio
3.38
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$229.92
Estimated Fair Value (DCF)
$70.24
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-69.5%
🔴 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% | $1.25B | $1.15B |
| 2 | 19.4% | $1.49B | $1.26B |
| 3 | 13.8% | $1.70B | $1.31B |
| 4 | 8.1% | $1.84B | $1.30B |
| 5 | 2.5% | $1.88B | $1.22B |
Base FCF (last actual year)
$1.00B
Terminal Value
$29.68B
Present Value of Terminal Value
$19.29B
Enterprise Value
$25.53B
Net Debt
$0
Equity Value
$25.53B
*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
$10.27
Tangible Book Value per Share (Tangible NAV)
$8.77
Sentiment based on basic keywords (not AI) — 15 positive, 4 neutral, 1 negative out of the last 20 articles.
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Datadog (DDOG) currently has a StockIQ AI score of 55/100, 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.
DDOG currently scores 55/100 (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, DDOG's estimated fair value is $70.24, which is 69.5% below the current price of $229.92. This is one valuation model among several signals in the fair-value category, not a price target.
DDOG's technical score is 62/100, 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): 27.7%; Operating margin is stable or improving over time; Current ratio: 3.38.
Based on the real signals StockIQ computed: Estimated fair value: $70.24 vs. price $229.92 (-69.5%); Operating margin: -1.3% (negative); ATR: 5.2% of price.
StockIQ has no recorded dividend payment history for DDOG.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 14 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Pomel Olivier | Open Market Sale | 8.9.2026 | 8,006 | -8,006 | $209.69 |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 19,287 | -19,287 | $207.54 |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 10,048 | -10,048 | $206.82 |
| Pomel Olivier | Exercise of Derivative Securities | 8.9.2026 | 35,715 | +35,715 | $10.74 |
| Pomel Olivier | Exercise of Derivative Securities | 8.9.2026 | 38,118 | -38,118 | — |
| Pomel Olivier | Conversion of Derivative Security | 8.9.2026 | 89,497 | -89,497 | — |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 14,073 | -14,073 | $210.26 |
| Pomel Olivier | Conversion of Derivative Security | 8.9.2026 | 89,497 | +89,497 | — |
| Pomel Olivier | Exercise of Derivative Securities | 8.9.2026 | 38,118 | +38,118 | $0.91 |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 10,800 | -10,800 | $204.03 |
| Pomel Olivier | Exercise of Derivative Securities | 8.9.2026 | 35,715 | -35,715 | — |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 3,000 | -3,000 | $205.62 |
| Pomel Olivier | Open Market Sale | 8.9.2026 | 24,283 | -24,283 | $208.53 |
| Richardson Julie | Open Market Sale | 4.9.2026 | 413 | -413 | $212.85 |
| Richardson Julie | Exercise of Derivative Securities | 4.9.2026 | 5,625 | +5,625 | $7.96 |
| Richardson Julie | Exercise of Derivative Securities | 4.9.2026 | 5,625 | -5,625 | — |
| Richardson Julie | Conversion of Derivative Security | 4.9.2026 | 5,625 | +5,625 | — |
| Richardson Julie | Conversion of Derivative Security | 4.9.2026 | 5,625 | -5,625 | — |
| Richardson Julie | Open Market Sale | 4.9.2026 | 5,212 | -5,212 | $212.21 |
| Blitzer Adam | Open Market Sale | 3.9.2026 | 4,730 | -4,730 | $214.73 |
| Blitzer Adam | Open Market Sale | 3.9.2026 | 100 | -100 | $220.15 |
| Blitzer Adam | Open Market Sale | 3.9.2026 | 107 | -107 | $217.18 |
| Blitzer Adam | Open Market Sale | 3.9.2026 | 700 | -700 | $212.76 |
| Blitzer Adam | Open Market Sale | 3.9.2026 | 5,002 | -5,002 | $213.94 |
| Richardson Julie | Exercise of Derivative Securities | 3.9.2026 | 5,625 | -5,625 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
10,220,303 shares short as of 2026-08-31 · vs. 11,729,899 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
54.4% of trading volume this week was short selling, vs. 49.1% 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