Pagerduty Stock Technical Analysis
| PD Stock | USD 7.38 -0.25 -3.28% |
As of the 11th of March 2026, the last recorded price for Pagerduty is 7.38 per share. Primary technical drivers reflect Coefficient Of Variation of -530.85, variance of 11.35, and Risk Adjusted Performance of -0.14. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
Pagerduty Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pagerduty, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PagerdutyPagerduty | Build AI portfolio with Pagerduty Stock |
Pagerduty Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 13.71 | Buy | 13 | Odds |
Pagerduty current and past analyst recommendations are summarized from multiple research sources. Average analyst consensus is included for context. Analyst ratings for Pagerduty aggregate the views of institutional research teams who conduct deep fundamental analysis, build financial models, and speak directly with Pagerduty's management. Consensus upgrades or downgrades often have meaningful short-term impact on the stock price.
Earnings Share 1.61 | Revenue Per Share | Quarterly Revenue Growth 0.047 | Return On Assets | Return On Equity |
The market value of Pagerduty is measured differently than book value, which reflects Pagerduty accounting equity. Pagerduty's market capitalization is 711.47 M. A P/B ratio of 2.18 indicates the market values Pagerduty above its accounting book value. Enterprise value stands at 561 M. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Valuation work aligns these measures into a single context.
Note that Pagerduty's intrinsic value and market price are different measures derived from different inputs. For Pagerduty, key inputs include a P/B ratio of 2.18, a profit margin of 31.12%, ROE of 66.13%, and revenue of 467.5 M. Trading price represents the transaction level agreed by market participants.
Pagerduty 'What if' Analysis
Running a what-if backtest on Pagerduty gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Pagerduty's historical reward profile was stable enough to support the current thesis.
| 12/11/2025 |
| 03/11/2026 |
If you invested 0.00 in Pagerduty on December 11, 2025 and closed the position today, you would earn 0.00 in aggregate gains. The change equals a 0.0% return on investment in Pagerduty on balance over a 90 day window.. Pagerduty is related to or competes with PAR Technology, Alight, Kodiak AI, ADEIA P, Lightspeed Commerce, Karooooo, and Amplitude. Peer context can support comparative analysis. PagerDuty, Inc. operates a digital operations management platform in the United States, Japan, and internationally More
Pagerduty Upside and Downside Indicators Signals
Upside and downside indicators for Pagerduty summarize momentum balance and potential range context for the stock. The signals are presented as informational context for recent price movement.
| Information Ratio | -0.19 | |||
| Maximum Drawdown | 18.35 | |||
| Value At Risk | -5.49 | |||
| Potential Upside | 4.09 |
Pagerduty Market Risk Indicators Signals
Market risk indicators summarize volatility and return dispersion for Pagerduty. This view provides neutral context for risk and variability.| Risk Adjusted Performance | -0.14 | |||
| Jensen Alpha | -0.63 | |||
| Total Risk Alpha | -0.59 | |||
| Treynor Ratio | -0.78 |
The concept of mean reversion suggests that Pagerduty's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
Pagerduty Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.14 | |||
| Market Risk Adjusted Performance | -0.77 | |||
| Mean Deviation | 2.45 | |||
| Coefficient Of Variation | -530.85 | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.35 | |||
| Information Ratio | -0.19 | |||
| Jensen Alpha | -0.63 | |||
| Total Risk Alpha | -0.59 | |||
| Treynor Ratio | -0.78 | |||
| Maximum Drawdown | 18.35 | |||
| Value At Risk | -5.49 | |||
| Potential Upside | 4.09 | |||
| Skewness | -1.24 | |||
| Kurtosis | 3.36 |
Pagerduty Backtested Returns
Over the selected 3 months, Pagerduty demonstrates a stable performance profile. It shows a risk-adjusted return measure of -0.23, signaling negative dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-four metrics shaping volatility behavior. Please analyze metrics such as Variance of 11.35, coefficient of variation of -530.85, and risk-adjusted performance of -0.14 to assess dispersion and downside exposure. The company owns a Beta (Systematic Risk) of 0.82, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Pagerduty's returns are expected to increase less than the market. However, during a bear market, the loss from holding Pagerduty is expected to be smaller as well. At this point, Pagerduty has a negative expected return of -0.79%. Please make sure to confirm Pagerduty's kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Pagerduty performance from the past will be repeated in the future.
Auto-correlation | 0.33 |
Below average predictability
Pagerduty exhibits below average predictability. Autocorrelation measures the degree of predictability between Pagerduty time series from 11th of December 2025 to 25th of January 2026 and from 25th of January 2026 to 11th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Pagerduty may be projected. A serial correlation of 0.33 indicates that nearly 33.0% of current Pagerduty price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 2.24 |
Pagerduty technical stock analysis uses price and volume transformations to study behavior. The model references moving averages, relative strength, and price correlation signals.
Pagerduty Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Pagerduty volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Pagerduty Technical Analysis
Technical analysis of Pagerduty evaluates price structure, momentum, and volatility clustering. Volume and liquidity conditions influence signal reliability. Lower liquidity may increase execution variability. Pagerduty has market cap of 711.47 M, ROE of 66.13%.
Unless otherwise specified, financial data for Pagerduty is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Pagerduty may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
Pagerduty Technical Indicators
A technical review of Pagerduty can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.14 | |||
| Market Risk Adjusted Performance | -0.77 | |||
| Mean Deviation | 2.45 | |||
| Coefficient Of Variation | -530.85 | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.35 | |||
| Information Ratio | -0.19 | |||
| Jensen Alpha | -0.63 | |||
| Total Risk Alpha | -0.59 | |||
| Treynor Ratio | -0.78 | |||
| Maximum Drawdown | 18.35 | |||
| Value At Risk | -5.49 | |||
| Potential Upside | 4.09 | |||
| Skewness | -1.24 | |||
| Kurtosis | 3.36 |
Pagerduty March 11, 2026 Daily Trend Indicators
A technical review of Pagerduty can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | -0.66 | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 7.57 | ||
| Day Typical Price | 7.51 | ||
| Price Action Indicator | -0.31 | ||
| Market Facilitation Index | 0.38 |
Popular Tools for Pagerduty Stock analysis
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |