Mfut Etf Market Value
| MFUT Etf | 17.33 0.60 3.35% |
| Symbol | MFUT |
MFUT's market price often diverges from its book value, the accounting figure shown on MFUT's balance sheet. Smart investors calculate MFUT's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since MFUT's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that MFUT's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether MFUT represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. However, MFUT's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
MFUT '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 MFUT's 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 MFUT.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in MFUT on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding MFUT or generate 0.0% return on investment in MFUT over 90 days. MFUT is related to or competes with Tidal Trust, Ocean Park, Advisors Inner, Advisors Inner, and Advisors Inner. More
MFUT 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 MFUT's 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 MFUT upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.74 | |||
| Information Ratio | 0.1248 | |||
| Maximum Drawdown | 8.84 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.66 |
MFUT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MFUT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MFUT's standard deviation. In reality, there are many statistical measures that can use MFUT historical prices to predict the future MFUT's volatility.| Risk Adjusted Performance | 0.1242 | |||
| Jensen Alpha | 0.1772 | |||
| Total Risk Alpha | 0.1361 | |||
| Sortino Ratio | 0.0926 | |||
| Treynor Ratio | 0.3604 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MFUT's 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.
MFUT February 5, 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 | 0.1242 | |||
| Market Risk Adjusted Performance | 0.3704 | |||
| Mean Deviation | 0.8592 | |||
| Semi Deviation | 1.31 | |||
| Downside Deviation | 1.74 | |||
| Coefficient Of Variation | 626.13 | |||
| Standard Deviation | 1.29 | |||
| Variance | 1.67 | |||
| Information Ratio | 0.1248 | |||
| Jensen Alpha | 0.1772 | |||
| Total Risk Alpha | 0.1361 | |||
| Sortino Ratio | 0.0926 | |||
| Treynor Ratio | 0.3604 | |||
| Maximum Drawdown | 8.84 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.66 | |||
| Downside Variance | 3.04 | |||
| Semi Variance | 1.71 | |||
| Expected Short fall | (0.90) | |||
| Skewness | (2.01) | |||
| Kurtosis | 8.46 |
MFUT Backtested Returns
MFUT appears to be very steady, given 3 months investment horizon. MFUT has Sharpe Ratio of 0.16, which conveys that the entity had a 0.16 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for MFUT, which you can use to evaluate the volatility of the etf. Please exercise MFUT's Market Risk Adjusted Performance of 0.3704, risk adjusted performance of 0.1242, and Mean Deviation of 0.8592 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.54, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, MFUT's returns are expected to increase less than the market. However, during the bear market, the loss of holding MFUT is expected to be smaller as well.
Auto-correlation | 0.65 |
Good predictability
MFUT has good predictability. Overlapping area represents the amount of predictability between MFUT time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 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 MFUT price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current MFUT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.49 |
Thematic Opportunities
Explore Investment Opportunities
Check out MFUT Correlation, MFUT Volatility and MFUT Performance module to complement your research on MFUT. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
MFUT 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.