Check Point Software Stock Statistic Functions Standard Deviation

CHKP Stock  USD 181.75  0.24  0.13%   
Check Point statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Check Point. Check Point 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 Standard Deviation function function is designed to identify and follow existing trends. Check Point statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was eleven with a total number of output elements of fifty. Check Point Software Standard Deviation measures the spread of Check Point time series from expected value (the mean).

Check Point Technical Analysis Modules

Most technical analysis of Check Point 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 Check from various momentum indicators to cycle indicators. When you analyze Check 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 Check Point 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 Check Point Software. We use our internally-developed statistical techniques to arrive at the intrinsic value of Check Point Software based on widely used predictive technical indicators. In general, we focus on analyzing Check Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Check Point'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 Check Point's intrinsic value. In addition to deriving basic predictive indicators for Check Point, we also check how macroeconomic factors affect Check Point price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Dividend Yield4.16E-43.7E-4
Price To Sales Ratio7.47.03
Hype
Prediction
LowEstimatedHigh
179.56181.74183.92
Details
Intrinsic
Valuation
LowRealHigh
160.59162.77199.93
Details
Naive
Forecast
LowNextHigh
195.63197.82200.00
Details
34 Analysts
Consensus
LowTargetHigh
127.27139.86155.24
Details

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Additional Tools for Check Stock Analysis

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