Yieldmax Msft Option Etf Market Value
| MSFO Etf | 13.17 0.09 0.69% |
| Symbol | YieldMax |
Investors evaluate YieldMax MSFT Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax MSFT's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause YieldMax MSFT's market price to deviate significantly from intrinsic value.
Understanding that YieldMax MSFT's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether YieldMax MSFT represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, YieldMax MSFT's market price signifies the transaction level at which participants voluntarily complete trades.
YieldMax MSFT '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 YieldMax MSFT'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 YieldMax MSFT.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in YieldMax MSFT on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax MSFT Option or generate 0.0% return on investment in YieldMax MSFT over 90 days. YieldMax MSFT is related to or competes with YieldMax NFLX, YieldMax AAPL, YieldMax GOOGL, YieldMax META, Defiance R2000, Direxion Daily, and VanEck Inflation. YieldMax MSFT is entity of United States More
YieldMax MSFT 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 YieldMax MSFT'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 YieldMax MSFT Option upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 1.55 |
YieldMax MSFT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax MSFT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax MSFT's standard deviation. In reality, there are many statistical measures that can use YieldMax MSFT historical prices to predict the future YieldMax MSFT's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 2.32 |
YieldMax MSFT February 6, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.14) | |||
| Market Risk Adjusted Performance | 2.33 | |||
| Mean Deviation | 1.03 | |||
| Coefficient Of Variation | (516.26) | |||
| Standard Deviation | 1.54 | |||
| Variance | 2.37 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 2.32 | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 1.55 | |||
| Skewness | (2.10) | |||
| Kurtosis | 10.32 |
YieldMax MSFT Option Backtested Returns
YieldMax MSFT Option shows Sharpe Ratio of -0.18, which attests that the etf had a -0.18 % return per unit of risk over the last 3 months. YieldMax MSFT Option exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out YieldMax MSFT's Mean Deviation of 1.03, standard deviation of 1.54, and Market Risk Adjusted Performance of 2.33 to validate the risk estimate we provide. The entity maintains a market beta of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning YieldMax MSFT are expected to decrease at a much lower rate. During the bear market, YieldMax MSFT is likely to outperform the market.
Auto-correlation | 0.38 |
Below average predictability
YieldMax MSFT Option has below average predictability. Overlapping area represents the amount of predictability between YieldMax MSFT time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 YieldMax MSFT Option price movement. The serial correlation of 0.38 indicates that just about 38.0% of current YieldMax MSFT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Pair Trading with YieldMax MSFT
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 YieldMax MSFT 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 YieldMax MSFT will appreciate offsetting losses from the drop in the long position's value.Moving against YieldMax Etf
| 0.86 | KNG | FT Cboe Vest Low Volatility | PairCorr |
| 0.84 | RDIV | Invesco SP Ultra | PairCorr |
| 0.76 | JEPI | JPMorgan Equity Premium | PairCorr |
| 0.71 | AHYB | American Century ETF | PairCorr |
| 0.69 | BUYW | Main Buywrite ETF | PairCorr |
The ability to find closely correlated positions to YieldMax MSFT could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace YieldMax MSFT 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 YieldMax MSFT - 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 YieldMax MSFT Option to buy it.
The correlation of YieldMax MSFT 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 YieldMax MSFT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if YieldMax MSFT Option 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 YieldMax MSFT 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 YieldMax MSFT Correlation, YieldMax MSFT Volatility and YieldMax MSFT Performance module to complement your research on YieldMax MSFT. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
YieldMax MSFT 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.