T Alpha and Beta Analysis Overview

T -- USA Stock  

USD 32.39  0.79  2.50%

This module allows you to check different measures of market premium for T as well as systematic risk associated with investing in T over a specified time horizon. Also please take a look at T Backtesting, T Valuation, T Correlation, T Hype Analysis, T Volatility, T History and analyze T Performance.
 Time Horizon     30 Days    Login   to change
Symbol
Run Premiums

T Market Premiums

α0.08β0.21
30 days against DJI
Risk Adjusted Performance  

0.01

Jensen Alpha  

0.0

Total Risk Alpha  

0.0

Sortino Ratio  

0.0

Treynor Ratio  

0.0

T expected buy-and-hold returns

T Market Price Analysis

T Return and Market Media

The median price of T for the period between Wed, May 23, 2018 and Fri, Jun 22, 2018 is 32.51 with a coefficient of variation of 2.21. The daily time series for the period is distributed with a sample standard deviation of 0.73, arithmetic mean of 32.75, and mean deviation of 0.57. The Stock received substential amount of media coverage during this period.
 Price Growth (%)  
      Timeline 
1
T exotic insider transaction detected06/01/2018
2
T exotic insider transaction detected06/04/2018
3
T exotic insider transaction detected06/08/2018
4
T exotic insider transaction detected06/11/2018
5
T exotic insider transaction detected06/14/2018
6
T exotic insider transaction detected06/18/2018
7
T exotic insider transaction detected06/21/2018

Current Sentiment - T

T Investor Sentiment
Most of Macroaxis users are at this time bullish on T. What is your outlook on investing in T? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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Upcoming Events

T Upcoming Company Events
Upcoming Quarterly ReportOctober 27, 2017
Next Earnings ReportJanuary 24, 2018

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Also please take a look at T Backtesting, T Valuation, T Correlation, T Hype Analysis, T Volatility, T History and analyze T Performance. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.