Tensor Alpha and Beta Analysis

TNSR Crypto  USD 0.56  0.01  1.75%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Tensor. It also helps investors analyze the systematic and unsystematic risks associated with investing in Tensor over a specified time horizon. Remember, high Tensor's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation.
Beta
0.72
Alpha
0.64
Risk
7.13
Sharpe Ratio
0.14
Expected Return
1.02
Please note that although Tensor alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Tensor did 0.64  better than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Tensor crypto's relative risk over its benchmark. Tensor has a beta of 0.72  . As returns on the market increase, Tensor's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tensor is expected to be smaller as well. .
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
  
Check out Tensor Backtesting, Portfolio Optimization, Tensor Correlation, Cryptocurrency Center, Tensor Volatility, Tensor History and analyze Tensor Performance.

Tensor Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Tensor market risk premium is the additional return an investor will receive from holding Tensor long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Tensor. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Tensor's performance over market.
α0.64   β0.72

Tensor Price Momentum Analysis

Tensor Market Price Analysis

Market price analysis indicators help investors to evaluate how Tensor crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tensor shares will generate the highest return on investment. By understating and applying Tensor crypto coin market price indicators, traders can identify Tensor position entry and exit signals to maximize returns.

Tensor Return and Market Media

The median price of Tensor for the period between Sun, Aug 25, 2024 and Sat, Nov 23, 2024 is 0.39 with a coefficient of variation of 20.2. The daily time series for the period is distributed with a sample standard deviation of 0.08, arithmetic mean of 0.4, and mean deviation of 0.06. The Crypto did not receive any noticable media coverage during the period.
 Price Growth (%)  
       Timeline  

About Tensor Beta and Alpha

For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Tensor or other cryptos. Alpha measures the amount that position in Tensor has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Tensor in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.

Build Portfolio with Tensor

Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.

Build Diversified Portfolios

Align your risk with return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
When determining whether Tensor offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tensor's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tensor Crypto.
Check out Tensor Backtesting, Portfolio Optimization, Tensor Correlation, Cryptocurrency Center, Tensor Volatility, Tensor History and analyze Tensor Performance.
You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Tensor technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.
A focus of Tensor technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Tensor trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...