Intellinetics Variance

INLX Stock  USD 7.10  -0.36  -4.83%   
Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean. Below is Intellinetics's current Variance with peer comparisons and related risk metrics.

Current Variance Value

At 4.99, Intellinetics exhibits elevated price variability in Variance. This places Intellinetics toward the higher end of the volatility range for Stock.

Variance

 = 

SUM(RET DEV)2

N

 = 
4.99
SUM = Summation notation
RET DEV = Actual returns deviation over selected period
N = Number of points for the period

Variance Peers Comparison

Relative to peers, Intellinetics's Variance is below the group average of 62.63. Peer readings range from 6.65 (NetSol Technologies) to 283.93 (Hitek Global Ordinary), reflecting wide dispersion across the sector. Intellinetics has exhibited less price dispersion than the peer average over the measured period.

Variance Relative To Other Indicators

The chart below plots Variance against Maximum Drawdown for Intellinetics and its peers. Each point represents one equity — position along the horizontal axis shows Variance 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.
Intellinetics's Maximum Drawdown of 13.13 runs about 2.63 times its Variance of 4.99 . This indicates Maximum Drawdown is significantly higher than Variance for Intellinetics.
Compare Intellinetics to Peers

Methodology, Assumptions & Data Sources

Intellinetics has a current Variance reading of 4.99. Variance for Intellinetics is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.

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