Manchester United Stock Volatility Indicators Average True Range

MANU Stock  USD 17.46  0.71  4.24%   
Manchester United volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Manchester United. Manchester United 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. Manchester United 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 twenty-four with a total number of output elements of thirty-seven. 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 Manchester United volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Manchester United Technical Analysis Modules

Most technical analysis of Manchester United 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 Manchester from various momentum indicators to cycle indicators. When you analyze Manchester 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 Manchester United 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 Manchester United. We use our internally-developed statistical techniques to arrive at the intrinsic value of Manchester United based on widely used predictive technical indicators. In general, we focus on analyzing Manchester Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Manchester United'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 Manchester United's intrinsic value. In addition to deriving basic predictive indicators for Manchester United, we also check how macroeconomic factors affect Manchester United price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
15.7717.4619.15
Details
Intrinsic
Valuation
LowRealHigh
13.7615.4519.21
Details
Naive
Forecast
LowNextHigh
14.9016.5918.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
15.3616.8618.35
Details

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Additional Tools for Manchester Stock Analysis

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