Bitwise Funds Trust Etf Market Value
| IMST Etf | 11.42 0.41 3.72% |
| Symbol | Bitwise |
Investors evaluate Bitwise Funds Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Bitwise Funds' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Bitwise Funds' market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Bitwise Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Bitwise Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Bitwise Funds' market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Bitwise Funds on December 3, 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 Pacer Swan, NestYield Total, Direxion Daily, Nightview ETF, Simplify Next, JPMorgan Nasdaq, and Collaborative Investment. Bitwise Funds is entity of United States 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 | (0.03) | |||
| Maximum Drawdown | 27.22 | |||
| Value At Risk | (6.50) | |||
| Potential Upside | 5.13 |
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) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bitwise Funds' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Bitwise Funds March 3, 2026 Technical Indicators
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| Math Transform | ||
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| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | (0.03) | |||
| Mean Deviation | 3.27 | |||
| Coefficient Of Variation | (6,015) | |||
| Standard Deviation | 4.78 | |||
| Variance | 22.88 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | (0.04) | |||
| Maximum Drawdown | 27.22 | |||
| Value At Risk | (6.50) | |||
| Potential Upside | 5.13 | |||
| Skewness | 1.24 | |||
| Kurtosis | 9.06 |
Bitwise Funds Trust Backtested Returns
Bitwise Funds Trust secures Sharpe Ratio (or Efficiency) of -0.0359, which signifies that the etf had a -0.0359 % return per unit of risk over the last 3 months. Bitwise Funds Trust exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bitwise Funds' Standard Deviation of 4.78, insignificant risk adjusted performance, and Mean Deviation of 3.27 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 2.5, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Bitwise Funds will likely underperform.
Auto-correlation | 0.75 |
Good predictability
Bitwise Funds Trust has good predictability. Overlapping area represents the amount of predictability between Bitwise Funds time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 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 0.75 indicates that around 75.0% of current Bitwise Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.66 |
Thematic Opportunities
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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.