Payment Financial (Israel) Volatility Indicators Average True Range

PMNT Stock   349.70  5.36  1.56%   
Payment Financial volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Payment Financial. Payment Financial 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Payment Financial volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

Indicator
Time Period
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The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Payment Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Payment Financial Technical Analysis Modules

Most technical analysis of Payment Financial 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 Payment from various momentum indicators to cycle indicators. When you analyze Payment 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 Payment Financial 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 Payment Financial Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Payment Financial Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Payment Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Payment Financial's daily price indicators and compare them against related drivers, such as volatility indicators 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 Payment Financial's intrinsic value. In addition to deriving basic predictive indicators for Payment Financial, we also check how macroeconomic factors affect Payment Financial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
345.89349.70353.51
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Intrinsic
Valuation
LowRealHigh
311.36315.17384.67
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Other Information on Investing in Payment Stock

Payment Financial financial ratios help investors to determine whether Payment Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Payment with respect to the benefits of owning Payment Financial security.