JRFOODS Math Operators Index of highest value over a specified period

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JRFOODS -- India Stock  

INR 3.23  0.16  4.72%

J R math-operators tool provides you with the Math Operators execution environment for running Index of highest value over a specified period operator against J R. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and J R. Please specify Time Period to run this model.
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The output start index for this execution was six with a total number of output elements of fifty-five. The Index of highest value over a specified period line plots maximum indexes of J R FOODS price series. View also all equity analysis or get more info about index of highest value over a specified period math operators indicator.

J R Technical Analysis Modules

Most technical analysis of JRFOODS stock 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 JRFOODS from various momentum indicators to cycle indicators. When you analyze JRFOODS 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.
Cycle Indicators
Math Operators
Math Transform
Momentum Indicators
Overlap Studies
Pattern Recognition
Price Transform
Statistic Functions
Volatility Indicators
Volume Indicators

About J R 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 J R FOODS. We use our internally-developed statistical techniques to arrive at the intrinsic value of J R FOODS based on widely used predictive technical indicators. In general, we focus on analyzing J R stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build J R's daily price indicators and compare them against related drivers such as math operators 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 J R's intrinsic value. In addition to deriving basic predictive indicators for J R, we also check how macroeconomic factors affect J R price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimated ValueHigh
0.163.237.91
Details
Intrinsic
Valuation
LowReal ValueHigh
0.132.587.26
Details

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