Yieldmax Snow Option Etf Technical Analysis
| SNOY Etf | 8.52 0.45 5.02% |
As of the 7th of February, YieldMax SNOW maintains the Market Risk Adjusted Performance of (0.56), standard deviation of 2.85, and Mean Deviation of 2.08. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of YieldMax SNOW Option, as well as the relationship between them.
YieldMax SNOW Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as YieldMax, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to YieldMaxYieldMax | Build AI portfolio with YieldMax Etf |
Investors evaluate YieldMax SNOW Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax SNOW's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause YieldMax SNOW's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax SNOW's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax SNOW is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax SNOW's market price signifies the transaction level at which participants voluntarily complete trades.
YieldMax SNOW '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 SNOW'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 SNOW.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in YieldMax SNOW on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax SNOW Option or generate 0.0% return on investment in YieldMax SNOW over 90 days. YieldMax SNOW is related to or competes with YieldMax CVNA, YieldMax MARA, Pacer Swan, Hoya Capital, First Trust, Innovator ETFs, and Simplify Exchange. More
YieldMax SNOW 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 SNOW'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 SNOW Option upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 12.83 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 3.11 |
YieldMax SNOW Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax SNOW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax SNOW's standard deviation. In reality, there are many statistical measures that can use YieldMax SNOW historical prices to predict the future YieldMax SNOW's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.57) |
YieldMax SNOW February 7, 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 | (0.17) | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 2.08 | |||
| Coefficient Of Variation | (451.46) | |||
| Standard Deviation | 2.85 | |||
| Variance | 8.13 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 12.83 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 3.11 | |||
| Skewness | (0.72) | |||
| Kurtosis | 1.91 |
YieldMax SNOW Option Backtested Returns
YieldMax SNOW Option shows Sharpe Ratio of -0.28, which attests that the etf had a -0.28 % return per unit of risk over the last 3 months. YieldMax SNOW Option exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out YieldMax SNOW's Market Risk Adjusted Performance of (0.56), mean deviation of 2.08, and Standard Deviation of 2.85 to validate the risk estimate we provide. The entity maintains a market beta of 1.12, which attests to a somewhat significant risk relative to the market. YieldMax SNOW returns are very sensitive to returns on the market. As the market goes up or down, YieldMax SNOW is expected to follow.
Auto-correlation | 0.57 |
Modest predictability
YieldMax SNOW Option has modest predictability. Overlapping area represents the amount of predictability between YieldMax SNOW time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 SNOW Option price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current YieldMax SNOW price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.98 |
YieldMax SNOW 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.
YieldMax SNOW Option Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of YieldMax SNOW Option volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About YieldMax SNOW Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of YieldMax SNOW Option on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of YieldMax SNOW Option based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on YieldMax SNOW Option price pattern first instead of the macroeconomic environment surrounding YieldMax SNOW Option. By analyzing YieldMax SNOW's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of YieldMax SNOW's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to YieldMax SNOW specific price patterns or momentum indicators. Please read more on our technical analysis page.
YieldMax SNOW February 7, 2026 Technical Indicators
Most technical analysis of YieldMax help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for YieldMax from various momentum indicators to cycle indicators. When you analyze YieldMax charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 2.08 | |||
| Coefficient Of Variation | (451.46) | |||
| Standard Deviation | 2.85 | |||
| Variance | 8.13 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 12.83 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 3.11 | |||
| Skewness | (0.72) | |||
| Kurtosis | 1.91 |
YieldMax SNOW February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as YieldMax stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | (1.05) | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 8.73 | ||
| Day Typical Price | 8.66 | ||
| Price Action Indicator | (0.43) | ||
| Market Facilitation Index | 0.43 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in YieldMax SNOW Option. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Investors evaluate YieldMax SNOW Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax SNOW's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause YieldMax SNOW's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax SNOW's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax SNOW is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax SNOW's market price signifies the transaction level at which participants voluntarily complete trades.