Datadog (Brazil) Technical Analysis
| D1DG34 Stock | BRL 64.34 -3.45 -5.09% |
As of the 25th of March, the last recorded price for Datadog is 64.34 per share. Primary technical drivers reflect Mean Deviation of 3.09, variance of 18.17, and Standard Deviation of 4.26. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
Datadog Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Datadog, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DatadogDatadog |
What if' Analysis
Running a what-if backtest on Datadog gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Current market capitalization is about 261.77 Billion, enterprise value is near 21.34 Billion, and annual revenue is around 764.3 Million. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/25/2025 |
| 03/25/2026 |
A 0.00 position in Datadog initiated on December 25, 2025 and held to today would earn 0.00 in total gains. The change equals a 0.0% cumulative return in Datadog in aggregate over a 90 day window. The information reflects available price and trading data. Datadog shares sector or business overlap with Verizon Communications, G2D Investments, Charter Communications, Apartment Investment, and Bemobi Mobile. Datadog, Inc. provides monitoring and analytics platform for developers, information technology operations teams, and bu... More
Datadog Momentum Range Indicators Snapshot
The momentum profile for Datadog describes how price movement distributes across upside and downside channels. This context describes price behavior relative to short-term momentum benchmarks.
| Information Ratio | -0.03 | |||
| Maximum Drawdown | 25.21 | |||
| Value At Risk | -7.11 | |||
| Potential Upside | 5.42 |
Datadog Volatility and Risk Indicators Summary
These indicators track Datadog's volatility and return range dynamics. The information reflects available price and trading data.| Risk Adjusted Performance | -0.03 | |||
| Jensen Alpha | -0.21 | |||
| Total Risk Alpha | 0.1383 | |||
| Treynor Ratio | 0.7831 |
Experienced investors tracking Datadog's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in Datadog. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in Datadog. The mean reversion signal is most useful when combined with fundamental confirmation for Datadog's.
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 | -0.03 | |||
| Market Risk Adjusted Performance | 0.7931 | |||
| Mean Deviation | 3.09 | |||
| Coefficient Of Variation | -2,336 | |||
| Standard Deviation | 4.26 | |||
| Variance | 18.17 | |||
| Information Ratio | -0.03 | |||
| Jensen Alpha | -0.21 | |||
| Total Risk Alpha | 0.1383 | |||
| Treynor Ratio | 0.7831 | |||
| Maximum Drawdown | 25.21 | |||
| Value At Risk | -7.11 | |||
| Potential Upside | 5.42 | |||
| Skewness | -0.20 | |||
| Kurtosis | 1.59 |
Datadog Backtested Returns
Over the selected 3 months, Datadog demonstrates a very low volatility profile. It shows a risk-adjusted return measure of -0.0452, signaling negative dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-four metrics shaping volatility behavior. Please analyze metrics such as mean deviation of 3.09, variance of 18.17, and standard deviation of 4.26 to assess dispersion and downside exposure. The firm shows a Market Sensitivity (Beta) of -0.25, which indicates very low measured sensitivity to broad market movements. The mildly negative beta suggests Datadog provides a partial hedge against market-wide declines. At this point, Datadog has a negative expected return of -0.2%.
Auto-correlation | -0.06 |
Very weak reverse predictability
The autocorrelation profile for Datadog registers very weak reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Datadog's near-term price behavior. A serial correlation of -0.06 indicates that barely 6.0% of current Datadog price fluctuations can be explained by its historical price movements. Given that Datadog has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 18.45 |
Price and volume behavior for Datadog form the basis of this analysis. The framework uses indicators like moving averages and relative strength.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 Datadog volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Datadog evaluates price structure, momentum, and volatility clustering. Volume and liquidity conditions influence signal reliability. Reduced trading volume may increase short-term pricing variability. Datadog has a market cap of 261.77 B, ROE of -5.89%.
This section for Datadog is built from periodic company reporting and market reference feeds, with reporting definitions aligned before display. Values may update on different source schedules.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardDatadog Technical Indicators
Technical analysis of Datadog is useful because it frames whether the current trend still looks durable or is beginning to weaken. 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 | -0.03 | |||
| Market Risk Adjusted Performance | 0.7931 | |||
| Mean Deviation | 3.09 | |||
| Coefficient Of Variation | -2,336 | |||
| Standard Deviation | 4.26 | |||
| Variance | 18.17 | |||
| Information Ratio | -0.03 | |||
| Jensen Alpha | -0.21 | |||
| Total Risk Alpha | 0.1383 | |||
| Treynor Ratio | 0.7831 | |||
| Maximum Drawdown | 25.21 | |||
| Value At Risk | -7.11 | |||
| Potential Upside | 5.42 | |||
| Skewness | -0.20 | |||
| Kurtosis | 1.59 |
March 25, 2026 Daily Trend Indicators
Technical analysis of Datadog is useful because it frames whether the current trend still looks durable or is beginning to weaken. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 149.25 | ||
| Daily Balance Of Power | -4.79 | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 64.70 | ||
| Day Typical Price | 64.58 | ||
| Price Action Indicator | -2.09 |
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