T-Mobile Stock Volatility Indicators Average True Range

TMUS
 Stock
  

USD 149.90  1.56  1.03%   

T-Mobile volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against T-Mobile. T-Mobile 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. T-Mobile 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.

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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 T-Mobile US volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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T-Mobile Technical Analysis Modules

Most technical analysis of T-Mobile 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 T-Mobile from various momentum indicators to cycle indicators. When you analyze T-Mobile 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 T-Mobile 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 T-Mobile US. We use our internally-developed statistical techniques to arrive at the intrinsic value of T-Mobile US based on widely used predictive technical indicators. In general, we focus on analyzing T-Mobile Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build T-Mobile'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 T-Mobile's intrinsic value. In addition to deriving basic predictive indicators for T-Mobile, we also check how macroeconomic factors affect T-Mobile price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2020 2021 2022 (projected)
Long Term Debt to Equity0.991.091.051.41
Interest Coverage5.152.462.062.11
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of T-Mobile's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of T-Mobile in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
149.69151.43153.17
Details
Intrinsic
Valuation
LowReal ValueHigh
148.49150.23151.97
Details
Naive
Forecast
LowNext ValueHigh
149.60151.34153.08
Details
14 Analysts
Consensus
LowTarget PriceHigh
128.00168.69200.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as T-Mobile. Your research has to be compared to or analyzed against T-Mobile's peers to derive any actionable benefits. When done correctly, T-Mobile's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in T-Mobile US.

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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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T-Mobile US 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 T-Mobile 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 T-Mobile will appreciate offsetting losses from the drop in the long position's value.

T-Mobile Pair Trading

T-Mobile US Pair Trading Analysis

The ability to find closely correlated positions to T-Mobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace T-Mobile 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 T-Mobile - 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 T-Mobile US to buy it.
The correlation of T-Mobile is a statistical measure of how it moves in relation to other equities. 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 T-Mobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if T-Mobile US 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 T-Mobile 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
Additionally, take a look at World Market Map. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Complementary Tools for analysis

When running T-Mobile US price analysis, check to measure T-Mobile'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 T-Mobile is operating at the current time. Most of T-Mobile's value examination focuses on studying past and present price action to predict the probability of T-Mobile's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move T-Mobile's price. Additionally, you may evaluate how the addition of T-Mobile to your portfolios can decrease your overall portfolio volatility.
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Is T-Mobile's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of T-Mobile. If investors know T-Mobile will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about T-Mobile listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
(0.27) 
Market Capitalization
184.9 B
Quarterly Revenue Growth YOY
(0.007) 
Return On Assets
0.0373
Return On Equity
0.0221
The market value of T-Mobile US is measured differently than its book value, which is the value of T-Mobile that is recorded on the company's balance sheet. Investors also form their own opinion of T-Mobile's value that differs from its market value or its book value, called intrinsic value, which is T-Mobile's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because T-Mobile's market value can be influenced by many factors that don't directly affect T-Mobile's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between T-Mobile's value and its price as these two are different measures arrived at by different means. Investors typically determine T-Mobile value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, T-Mobile's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.