Cyberark Software Stock Pattern Recognition Dark Cloud Cover

CYBR Stock  USD 323.51  4.73  1.48%   
CyberArk Software pattern recognition tool provides the execution environment for running the Dark Cloud Cover recognition and other technical functions against CyberArk Software. CyberArk 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 pattern recognition indicators. As with most other technical indicators, the Dark Cloud Cover recognition function is designed to identify and follow existing trends. CyberArk Software momentum indicators are usually used to generate trading rules based on assumptions that CyberArk Software trends in prices tend to continue for long periods. Please specify Penetration to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Dark Cloud Cover describes bearish reversal pattern of CyberArk Software.

CyberArk Software Technical Analysis Modules

Most technical analysis of CyberArk 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 CyberArk from various momentum indicators to cycle indicators. When you analyze CyberArk 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 CyberArk 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 CyberArk Software. We use our internally-developed statistical techniques to arrive at the intrinsic value of CyberArk Software based on widely used predictive technical indicators. In general, we focus on analyzing CyberArk Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CyberArk Software's daily price indicators and compare them against related drivers, such as pattern recognition 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 CyberArk Software's intrinsic value. In addition to deriving basic predictive indicators for CyberArk Software, we also check how macroeconomic factors affect CyberArk Software 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)
Days Sales Outstanding82.1674.5390.5254.05
PTB Ratio9.467.7611.5210.2
Hype
Prediction
LowEstimatedHigh
323.04324.93326.82
Details
Intrinsic
Valuation
LowRealHigh
234.03235.92355.86
Details
Naive
Forecast
LowNextHigh
326.31328.20330.09
Details
35 Analysts
Consensus
LowTargetHigh
173.25190.39211.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CyberArk Software. Your research has to be compared to or analyzed against CyberArk Software's peers to derive any actionable benefits. When done correctly, CyberArk Software's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CyberArk Software.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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CyberArk Software pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if CyberArk Software position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in CyberArk Software will appreciate offsetting losses from the drop in the long position's value.

CyberArk Software Pair Trading

CyberArk Software Pair Trading Analysis

The ability to find closely correlated positions to CyberArk Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CyberArk Software when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back CyberArk Software - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling CyberArk Software to buy it.
The correlation of CyberArk Software is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as CyberArk Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CyberArk Software moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for CyberArk Software can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for CyberArk Stock Analysis

When running CyberArk Software's price analysis, check to measure CyberArk 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 CyberArk Software is operating at the current time. Most of CyberArk Software's value examination focuses on studying past and present price action to predict the probability of CyberArk 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 CyberArk Software's price. Additionally, you may evaluate how the addition of CyberArk Software to your portfolios can decrease your overall portfolio volatility.