Gitlab Skewness

GTLB Stock  USD 21.51  0.85  4.11%   
Skewness describes asymmetry of returns from the normal distribution. It can come in the form of negative skewness or positive skewness, depending on whether data points are skewed to the left (negative skew) or to the right (positive skew) of the data average. Below is Gitlab's current Skewness with peer comparisons and related risk metrics.

Current Skewness Value

Gitlab registers a Skewness of 0.2472, reflecting near-symmetric return distribution. Gitlab's positive and negative returns are roughly balanced in frequency and magnitude.

Skewness

 = 

3PM

STD3

 = 
0.2472
3PM = Third upper moment
STD =   Standard Deviation of Gitlab

Skewness Peers Comparison

The peer group averages -0.18 for Skewness, with Gitlab at 0.2472 falling above that level. Readings span -2.0373 (Sportradar Group AG) to 1.01 (SoundHound AI).

Skewness Relative To Other Indicators

The chart below plots Skewness against Maximum Drawdown for Gitlab and its peers. Each point represents one equity — position along the horizontal axis shows Skewness while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Gitlab's Maximum Drawdown of 21.76 runs about 88.04 times its Skewness of 0.25 . This indicates Maximum Drawdown substantially exceeds Skewness for Gitlab.
Compare Gitlab to Peers

Methodology, Assumptions & Data Sources

The current Skewness for Gitlab is 0.2472. The Skewness for Gitlab applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Gitlab operates in the information technology sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.

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