Cognyte Software Stock Math Transform Price Common Logarithm

CGNT Stock  USD 9.26  0.24  2.53%   
Cognyte Software math transform tool provides the execution environment for running the Price Common Logarithm transformation and other technical functions against Cognyte Software. Cognyte Software value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math transform indicators. As with most other technical indicators, the Price Common Logarithm transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Cognyte Software can be made when Cognyte Software shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Cognyte Software Price Common Logarithm is logarithm with base 10 applied on the entire pricing series.

Cognyte Software Technical Analysis Modules

Most technical analysis of Cognyte Software help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Cognyte from various momentum indicators to cycle indicators. When you analyze Cognyte charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Cognyte Software Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Cognyte Software. We use our internally-developed statistical techniques to arrive at the intrinsic value of Cognyte Software based on widely used predictive technical indicators. In general, we focus on analyzing Cognyte Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Cognyte Software's daily price indicators and compare them against related drivers, such as math transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Cognyte Software's intrinsic value. In addition to deriving basic predictive indicators for Cognyte Software, we also check how macroeconomic factors affect Cognyte Software price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 (projected)
Dividend Yield0.04850.01140.0103
Price To Sales Ratio1.520.821.58
Hype
Prediction
LowEstimatedHigh
6.379.3012.23
Details
Intrinsic
Valuation
LowRealHigh
5.798.7211.65
Details
3 Analysts
Consensus
LowTargetHigh
6.607.258.05
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.010.010.01
Details

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Additional Tools for Cognyte Stock Analysis

When running Cognyte Software's price analysis, check to measure Cognyte Software's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Cognyte Software is operating at the current time. Most of Cognyte Software's value examination focuses on studying past and present price action to predict the probability of Cognyte Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cognyte Software's price. Additionally, you may evaluate how the addition of Cognyte Software to your portfolios can decrease your overall portfolio volatility.