Kkrs Stock Statistic Functions Linear Regression

KKRS Stock  USD 19.39  0.21  1.09%   
KKRS statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against KKRS. KKRS 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 statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. KKRS statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of KKRS and its peer or benchmark and helps predict KKRS future price from its past values.

KKRS Technical Analysis Modules

Most technical analysis of KKRS 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 KKRS from various momentum indicators to cycle indicators. When you analyze KKRS 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 KKRS 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 KKRS. We use our internally-developed statistical techniques to arrive at the intrinsic value of KKRS based on widely used predictive technical indicators. In general, we focus on analyzing KKRS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build KKRS's daily price indicators and compare them against related drivers, such as statistic functions 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 KKRS's intrinsic value. In addition to deriving basic predictive indicators for KKRS, we also check how macroeconomic factors affect KKRS price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.02760.04090.03750.0582
Price To Sales Ratio0.942.191.151.09
Hype
Prediction
LowEstimatedHigh
18.6119.3820.15
Details
Intrinsic
Valuation
LowRealHigh
18.9319.7020.47
Details

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Additional Tools for KKRS Stock Analysis

When running KKRS's price analysis, check to measure KKRS'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 KKRS is operating at the current time. Most of KKRS's value examination focuses on studying past and present price action to predict the probability of KKRS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KKRS's price. Additionally, you may evaluate how the addition of KKRS to your portfolios can decrease your overall portfolio volatility.