Chia Alpha and Beta Analysis
| XCH Crypto | USD 24.08 0.01 0.04% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Chia. It also helps investors analyze the systematic and unsystematic risks associated with investing in Chia over a specified time horizon. Remember, high Chia'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 0.89 | Alpha 1.02 | Risk 8.78 | Sharpe Ratio 0.13 | Expected Return 1.15 |
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.
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Chia Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Chia market risk premium is the additional return an investor will receive from holding Chia 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 Chia. 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 Chia's performance over market.| α | 1.02 | β | 0.89 |
Chia Price Momentum Analysis
Chia Market Price Analysis
Market price analysis indicators help investors to evaluate how Chia 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 Chia shares will generate the highest return on investment. By understating and applying Chia crypto coin market price indicators, traders can identify Chia position entry and exit signals to maximize returns.
Chia Return and Market Media
The median price of Chia for the period between Fri, Aug 30, 2024 and Thu, Nov 28, 2024 is 14.2 with a coefficient of variation of 16.97. The daily time series for the period is distributed with a sample standard deviation of 2.53, arithmetic mean of 14.88, and mean deviation of 1.49. The Crypto did not receive any noticable media coverage during the period. Price Growth (%) |
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About Chia 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 Chia or other cryptos. Alpha measures the amount that position in Chia 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 Chia 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.
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Check out Chia Backtesting, Portfolio Optimization, Chia Correlation, Cryptocurrency Center, Chia Volatility, Chia History and analyze Chia Performance. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Chia 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.