Bitwise Funds Trust Etf Market Value
| BPRO Etf | 26.86 0.28 1.03% |
| Symbol | Bitwise |
Understanding Bitwise Funds Trust requires distinguishing between market price and book value, where the latter reflects Bitwise's accounting equity. The concept of intrinsic value—what Bitwise Funds' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Bitwise Funds' price substantially above or below its fundamental value.
It's important to distinguish between Bitwise Funds' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Bitwise Funds should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Bitwise Funds' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Bitwise Funds 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bitwise Funds' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bitwise Funds.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Bitwise Funds on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Bitwise Funds Trust or generate 0.0% return on investment in Bitwise Funds over 90 days. Bitwise Funds is related to or competes with YieldMax Short, YieldMax DIS, IShares Dividend, Tradr 2X, Global X, Defiance Daily, and First Trust. More
Bitwise Funds Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bitwise Funds' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bitwise Funds Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1905 | |||
| Maximum Drawdown | 14.2 | |||
| Value At Risk | (7.23) | |||
| Potential Upside | 6.97 |
Bitwise Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bitwise Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bitwise Funds' standard deviation. In reality, there are many statistical measures that can use Bitwise Funds historical prices to predict the future Bitwise Funds' volatility.| Risk Adjusted Performance | 0.156 | |||
| Jensen Alpha | 0.9788 | |||
| Total Risk Alpha | 0.63 | |||
| Treynor Ratio | (6.60) |
Bitwise Funds January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.156 | |||
| Market Risk Adjusted Performance | (6.59) | |||
| Mean Deviation | 3.48 | |||
| Coefficient Of Variation | 492.16 | |||
| Standard Deviation | 4.83 | |||
| Variance | 23.32 | |||
| Information Ratio | 0.1905 | |||
| Jensen Alpha | 0.9788 | |||
| Total Risk Alpha | 0.63 | |||
| Treynor Ratio | (6.60) | |||
| Maximum Drawdown | 14.2 | |||
| Value At Risk | (7.23) | |||
| Potential Upside | 6.97 | |||
| Skewness | (0.38) | |||
| Kurtosis | 0.4003 |
Bitwise Funds Trust Backtested Returns
Bitwise Funds appears to be not too volatile, given 3 months investment horizon. Bitwise Funds Trust secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the etf had a 0.2 % return per unit of risk over the last 3 months. By analyzing Bitwise Funds' technical indicators, you can evaluate if the expected return of 0.98% is justified by implied risk. Please makes use of Bitwise Funds' Mean Deviation of 3.48, standard deviation of 4.83, and Risk Adjusted Performance of 0.156 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of -0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Bitwise Funds are expected to decrease at a much lower rate. During the bear market, Bitwise Funds is likely to outperform the market.
Auto-correlation | 0.00 |
No correlation between past and present
Bitwise Funds Trust has no correlation between past and present. Overlapping area represents the amount of predictability between Bitwise Funds time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bitwise Funds Trust price movement. The serial correlation of 0.0 indicates that just 0.0% of current Bitwise Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pair Trading with Bitwise Funds
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bitwise Funds position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bitwise Funds will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Bitwise Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bitwise Funds when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bitwise Funds - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bitwise Funds Trust to buy it.
The correlation of Bitwise Funds is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bitwise Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bitwise Funds Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bitwise Funds can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Bitwise Funds Correlation, Bitwise Funds Volatility and Bitwise Funds Performance module to complement your research on Bitwise Funds. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Bitwise Funds 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.