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T Mobile Price on January 7, 2020 Breakdown

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TMUS -- USA Stock  

Fiscal Quarter End: March 31, 2020  

Macroaxis considers T Mobile very steady given 3 months investment horizon. T Mobile US owns Efficiency Ratio (i.e. Sharpe Ratio) of 0.1736 which indicates the company had 0.1736% of return per unit of standard deviation over the last 3 months. Our approach towards measuring volatility of a stock is to use all available market data together with stock specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for T Mobile US which you can use to evaluate future volatility of the entity. Please operate T Mobile Risk Adjusted Performance of 0.1719, Market Risk Adjusted Performance of 1.49 and Downside Deviation of 1.34 to confirm if our risk estimates are consistent with your expectations.
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T Mobile Headline on January 7, 2020

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T Mobile Valuation Near January 7, 2020

 Open High Low Close Volume
  78.13    78.85    77.97    78.62    2,285,229  
 01/07/2020 
  78.62    79.22    78.62    78.92    1.00  
  79.22    79.79    78.08    79.42    2,998,457  
Backtest T Mobile  |  T Mobile History  |  T Mobile Valuation   PreviousNext  
Open Value
78.62
January 7, 2020
 
78.92
Closing Value
84.29
Upside
 

T Mobile Trading Date Momentum on January 7, 2020

On January 08 2020 T Mobile US was traded for  79.42  at the closing time. The top price for the day was 79.79  and the lowest listed price was  78.08 . The trading volume for the day was 3 M. The trading history from January 8, 2020 was a factor to the next trading day price appreciation. The trading price change against the next closing price was 0.63% . The trading price change against the current closing price is 3.84% .

T Mobile US Fundamentals Correlations and Trends

Price Boundaries

T Mobile Period Price Range

Low
January 7, 2020
High
 78.62 
  
 78.92 
0.300.38%

T Mobile February 26, 2020 Market Strength

T Mobile Technical and Predictive Indicators

Additionally, take a look at World Market Map. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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