Verint Systems Stock Overlap Studies Double Exponential Moving Average

VRNT Stock  USD 24.82  0.39  1.60%   
Verint Systems overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against Verint Systems. Verint Systems 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 overlap studies indicators. As with most other technical indicators, the Double Exponential Moving Average study function is designed to identify and follow existing trends. Verint Systems overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was twenty-two with a total number of output elements of thirty-nine. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Verint Systems changes than the simple moving average.

Verint Systems Technical Analysis Modules

Most technical analysis of Verint Systems 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 Verint from various momentum indicators to cycle indicators. When you analyze Verint 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 Verint Systems 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 Verint Systems. We use our internally-developed statistical techniques to arrive at the intrinsic value of Verint Systems based on widely used predictive technical indicators. In general, we focus on analyzing Verint Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Verint Systems's daily price indicators and compare them against related drivers, such as overlap studies 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 Verint Systems's intrinsic value. In addition to deriving basic predictive indicators for Verint Systems, we also check how macroeconomic factors affect Verint Systems price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2023 2024 (projected)
Dividend Yield0.0038180.01090.0115
Price To Sales Ratio3.852.091.75
Hype
Prediction
LowEstimatedHigh
22.0924.5527.01
Details
Intrinsic
Valuation
LowRealHigh
21.9929.8932.35
Details
Naive
Forecast
LowNextHigh
20.0022.4624.92
Details
7 Analysts
Consensus
LowTargetHigh
31.2434.3338.11
Details

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Additional Tools for Verint Stock Analysis

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