Risk
DDOG Risk Analysis
Beta · Sharpe Ratio · VaR · Drawdown · AIQ Risk Resilience
DDOG
RiskRisk Alignment
Higher resilience is stronger; exposure metrics stay separate.
Risk Analysis Dashboard
AIQ Risk Resilience is the decision score; volatility, beta, drawdown, and tail metrics explain the shape of the risk.
Risk verdict
Higher resilience is better. The surrounding exposure metrics show whether that score is supported by manageable beta, drawdown, and volatility.
Exposure map
Downside Magnitudes
Comparable percentage measures are shown as absolute magnitudes; exact signed values remain in the evidence table.
Core Risk Evidence
Resilience and exposure are kept separate to avoid confusing a strong risk score with low volatility.
| Metric | Value | Unit | As of |
|---|---|---|---|
| Risk Resilience | 46 | score_0_100 | Sep 1, 2026 |
| Beta vs SPY | 1.51 | ratio | Sep 1, 2026 |
| Annualized Volatility | 69.07 | percent | Sep 1, 2026 |
| Maximum Drawdown | -48.62 | percent | Sep 1, 2026 |
| Sharpe Ratio | 0.99 | ratio | Sep 1, 2026 |
| Historical VaR (95%) | -5.26 | percent | Sep 1, 2026 |
Read resilience, market sensitivity, volatility, drawdown, and tail risk together while keeping each measure's horizon and assumptions visible.
Risk Resilience summarizes historical strength; beta, volatility, and drawdown describe exposure. A resilient business can still experience large price swings, and low volatility does not guarantee resilience.
Beta describes sensitivity to the selected benchmark over a stated lookback. It can change across market regimes and should not be treated as a permanent characteristic of the stock.
Annualized volatility summarizes the dispersion of returns, not the direction of the next move. Compare values calculated over the same window and with the same annualization assumptions.
Maximum drawdown shows the deepest observed peak-to-trough decline. Current drawdown and recovery duration add context that annual volatility alone can conceal.
VaR and CVaR describe historical or modeled loss thresholds. Actual losses can exceed them, particularly when correlations rise and market conditions change quickly.
Benchmark, lookback, confidence level, horizon, and risk-free rate all affect risk statistics. Missing methodology should stay blank rather than being replaced with a generic rating.
Risk tools
Available tools reflect the current plan and covered evidence.
Current evidence CSV · Pro workflow
Holding, weight, concentration · Personalized to holdings
Related Links
How to Interpret Stock Risk Metrics
Risk in investing has multiple dimensions that no single metric captures fully. Volatility measures dispersion of returns -- how widely the stock tends to swing around its average. Beta measures market sensitivity -- how much the stock tends to move when the market moves. Maximum drawdown measures the worst observed peak-to-trough decline -- the actual capital loss an investor would have experienced in the hardest period. VaR (Value at Risk) estimates the expected loss at a given confidence interval over a specified horizon. These are different lenses on the same underlying risk question: how much can I lose, under what conditions, and over what timeframe? Using them in combination produces a substantially more complete picture than relying on any one alone.
The Sharpe ratio divides a stock's excess return (return above the risk-free rate) by its standard deviation. It answers: how much return did I receive per unit of volatility risk? A Sharpe above 1.0 is generally considered acceptable; above 2.0 is strong. But the Sharpe ratio has critical limitations -- it penalizes upside volatility equally with downside volatility, which is not how investors experience risk psychologically or economically. The Sortino ratio is a refinement that only penalizes downside volatility (returns below a target threshold), making it more appropriate for evaluating asymmetric risk profiles. A high Sharpe with a significantly lower Sortino indicates the return profile has significant downside volatility that the Sharpe is masking.
Beta is a historical regression coefficient, not a fixed property of a stock. A stock's beta can shift substantially across market regimes: low-beta defensive stocks can exhibit high beta during panics (when correlations spike and everything falls together), and high-beta growth stocks can exhibit low beta in range-bound, low-volatility environments. The practical use of beta is regime-dependent position sizing -- in elevated-risk environments, reducing high-beta exposure defensively before the market moves against you is more valuable than reacting after the fact. A portfolio's aggregate beta should be explicitly managed as a function of conviction about the market regime, not simply left to accumulate.
Maximum drawdown is the most viscerally honest risk metric because it reflects what you would have actually experienced as a holder through the worst period in the observable history. A stock with 15% annualized volatility and a 45% maximum drawdown is structurally different from one with the same volatility and a 20% maximum drawdown: the first stock had concentrated periods of severe loss that the annualized volatility number conceals. The drawdown recovery time -- how long it took price to return to the prior peak after the trough -- is equally important. A 40% drawdown that recovered in three months is different risk from a 30% drawdown that took three years to recover.
How to Read This Table
- Sharpe Ratio: Above 1.0 is adequate; above 2.0 is strong. Compare against the broad market Sharpe (typically 0.4-0.6 for the S&P 500 over long horizons) to calibrate.
- Beta: Interpret as market sensitivity, not risk level. A low-beta stock can still have severe idiosyncratic risk (management, litigation, product failure).
- VaR (1D, 5D): The expected loss at 95% confidence. Remember -- 5% of trading days will exceed this estimate by construction. It is a floor, not a ceiling, for tail events.
- Maximum Drawdown: The most honest downside number. If you could not have tolerated this drawdown psychologically, the position was too large regardless of expected return.
- Volatility (annualized): Divide by the square root of 252 for daily volatility. At 20% annualized, daily moves of 1.25% (one standard deviation) should be expected roughly 68% of trading days.
- Alpha: Excess return above what beta would predict given market performance. Positive alpha over multiple years is a signal of genuine stock-specific return drivers.
These are analytical tools, not investment recommendations. Historical patterns do not guarantee future results.
DDOG Risk FAQ
What are the biggest risks to DDOG stock?
DDOG's biggest risks can include valuation, earnings disappointment, volatility, balance-sheet pressure, sector weakness, and company-specific catalysts. Use this risk page to separate measurable risk from narrative risk.
What could cause DDOG stock to fall?
DDOG could fall if earnings, guidance, analyst expectations, margins, macro conditions, or sector sentiment deteriorate. Technical breakdowns and higher volatility can amplify those moves.
How volatile is DDOG stock?
DDOG's volatility should be checked with realized volatility, beta, drawdown, and Value at Risk. A high-growth stock can have strong upside potential and still carry elevated volatility.
What is DDOG's beta?
DDOG's beta measures sensitivity to the chosen market benchmark. Beta should be read with drawdown, volatility, Sharpe ratio, and company-specific risk.