MFT Alpha and Beta Analysis
| MFT Crypto | USD 0.01 0.000026 0.40% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as MFT. It also helps investors analyze the systematic and unsystematic risks associated with investing in MFT over a specified time horizon. Remember, high MFT'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 (0.38) | Alpha 0.16 | Risk 0.0 | Sharpe Ratio 0.0 | Expected Return 0.0 |
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.
MFT |
MFT Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. MFT market risk premium is the additional return an investor will receive from holding MFT 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 MFT. 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 MFT's performance over market.| α | 0.16 | β | -0.38 |
MFT Price Momentum Analysis
MFT Opportunities
MFT Return and Market Media
The Crypto did not receive any noticable media coverage during the period. Price Growth (%) |
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About MFT 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 MFT or other cryptos. Alpha measures the amount that position in MFT 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 MFT 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 MFT
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
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
MFT 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.