Quick Heal (India) Volatility Indicators Average True Range

QUICKHEAL   290.75  7.55  2.53%   
Quick Heal volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Quick Heal. Quick Heal 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. Quick Heal 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 fifty with a total number of output elements of eleven. 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 Quick Heal Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Quick Heal Technical Analysis Modules

Most technical analysis of Quick Heal 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 Quick from various momentum indicators to cycle indicators. When you analyze Quick 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 Quick Heal 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 Quick Heal Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quick Heal Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Quick Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quick Heal'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 Quick Heal's intrinsic value. In addition to deriving basic predictive indicators for Quick Heal, we also check how macroeconomic factors affect Quick Heal price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
255.33258.39319.83
Details
Intrinsic
Valuation
LowRealHigh
276.06279.12319.83
Details
Naive
Forecast
LowNextHigh
299.47302.53305.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
279.27312.68346.09
Details

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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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Quick Heal Technologies 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 Quick Heal 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 Quick Heal will appreciate offsetting losses from the drop in the long position's value.

Quick Heal Pair Trading

Quick Heal Technologies Pair Trading Analysis

The ability to find closely correlated positions to Quick Heal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quick Heal 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 Quick Heal - 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 Quick Heal Technologies to buy it.
The correlation of Quick Heal 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 Quick Heal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quick Heal Technologies 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 Quick Heal 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

Other Information on Investing in Quick Stock

Quick Heal financial ratios help investors to determine whether Quick 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 Quick with respect to the benefits of owning Quick Heal security.