Bitwise Solana Staking Etf Alpha and Beta Analysis
| BSOL Etf | 16.74 0.64 3.98% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Bitwise Solana Staking. It also helps investors analyze the systematic and unsystematic risks associated with investing in Bitwise Solana over a specified time horizon. Remember, high Bitwise Solana'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. Key technical indicators related to Bitwise Solana's market risk premium analysis include:
Beta 1.58 | Alpha (1.07) | Risk 5.41 | Sharpe Ratio (0.16) | Expected Return (0.86) |
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 Bitwise Solana Backtesting, Portfolio Optimization, Bitwise Solana Correlation, Bitwise Solana Hype Analysis, Bitwise Solana Volatility, Bitwise Solana History and analyze Bitwise Solana Performance. Bitwise Solana Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Bitwise Solana market risk premium is the additional return an investor will receive from holding Bitwise Solana 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 Bitwise Solana. 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 Bitwise Solana's performance over market.| α | -1.07 | β | 1.58 |
Bitwise Solana expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Bitwise Solana's Buy-and-hold return. Our buy-and-hold chart shows how Bitwise Solana performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Bitwise Solana Market Price Analysis
Market price analysis indicators help investors to evaluate how Bitwise Solana etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bitwise Solana shares will generate the highest return on investment. By understating and applying Bitwise Solana etf market price indicators, traders can identify Bitwise Solana position entry and exit signals to maximize returns.
Bitwise Solana Return and Market Media
The median price of Bitwise Solana for the period between Sat, Sep 27, 2025 and Fri, Dec 26, 2025 is 18.3 with a coefficient of variation of 13.27. The daily time series for the period is distributed with a sample standard deviation of 2.53, arithmetic mean of 19.05, and mean deviation of 1.97. The Etf received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Solanas SOL Bleeds Nearly 20 percent Since ETF Debut Despite Very Solid Inflows | 11/03/2025 |
2 | Solana ETFs Shine Through Crypto Market Meltdown With 5-Day Inflow Streak | 11/04/2025 |
3 | SOL Eyes 164 Breakout As Solana ETFs See 350M Inflows | 11/12/2025 |
4 | First Spot XRP ETF Smashes Initial Expectations, Expert Suggests Record-Breaking Debut | 11/14/2025 |
5 | Fidelitys New Solana ETF Heats Up The Race For Crypto Yield | 11/20/2025 |
6 | BlazeStake Staked SOL Reaches 24 Hour Volume of 784.04 Thousand | 11/21/2025 |
7 | Chainlink Goes Mainstream Grayscale To Launch First US Spot LINK ETF This Week | 12/01/2025 |
8 | Solana fund experiences its first external inflow since its launch - | 12/16/2025 |
About Bitwise Solana 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 Bitwise or other etfs. Alpha measures the amount that position in Bitwise Solana Staking 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 investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bitwise Solana in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bitwise Solana's short interest history, or implied volatility extrapolated from Bitwise Solana options trading.
Build Portfolio with Bitwise Solana
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 Bitwise Solana Backtesting, Portfolio Optimization, Bitwise Solana Correlation, Bitwise Solana Hype Analysis, Bitwise Solana Volatility, Bitwise Solana History and analyze Bitwise Solana Performance. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Bitwise Solana technical etf 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, etf market cycles, or different charting patterns.