Yieldmax Hood Option Etf Technical Analysis
| HOOY Etf | 40.63 0.87 2.10% |
As of the 2nd of February, YieldMax HOOD maintains the Market Risk Adjusted Performance of (0.25), mean deviation of 2.5, and Standard Deviation of 3.37. YieldMax HOOD Option technical analysis makes it possible for you to employ past prices and volume data with the intention to determine a pattern that calculates the direction of the etf's future prices.
YieldMax HOOD 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 HOOD Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax HOOD'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 HOOD's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax HOOD's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax HOOD is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax HOOD's market price signifies the transaction level at which participants voluntarily complete trades.
YieldMax HOOD '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 HOOD'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 HOOD.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in YieldMax HOOD on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax HOOD Option or generate 0.0% return on investment in YieldMax HOOD over 90 days. YieldMax HOOD is related to or competes with 2023 EFT, Aptus Large, Calamos ETF, FT Cboe, First Trust, Federated Hermes, and Innovator Nasdaq. YieldMax HOOD is entity of United States More
YieldMax HOOD 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 HOOD'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 HOOD Option upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 15.33 | |||
| Value At Risk | (7.00) | |||
| Potential Upside | 4.64 |
YieldMax HOOD Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax HOOD's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax HOOD's standard deviation. In reality, there are many statistical measures that can use YieldMax HOOD historical prices to predict the future YieldMax HOOD's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.26) |
YieldMax HOOD February 2, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 2.5 | |||
| Coefficient Of Variation | (717.88) | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.35 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 15.33 | |||
| Value At Risk | (7.00) | |||
| Potential Upside | 4.64 | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.9515 |
YieldMax HOOD Option Backtested Returns
YieldMax HOOD Option shows Sharpe Ratio of -0.13, which attests that the etf had a -0.13 % return per unit of risk over the last 3 months. YieldMax HOOD Option exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out YieldMax HOOD's Standard Deviation of 3.37, mean deviation of 2.5, and Market Risk Adjusted Performance of (0.25) to validate the risk estimate we provide. The entity maintains a market beta of 1.81, which attests to 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, YieldMax HOOD will likely underperform.
Auto-correlation | 0.13 |
Insignificant predictability
YieldMax HOOD Option has insignificant predictability. Overlapping area represents the amount of predictability between YieldMax HOOD time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 HOOD Option price movement. The serial correlation of 0.13 indicates that less than 13.0% of current YieldMax HOOD price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 5.77 |
YieldMax HOOD 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 HOOD Option Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 HOOD Option volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About YieldMax HOOD 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 HOOD 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 HOOD Option based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on YieldMax HOOD Option price pattern first instead of the macroeconomic environment surrounding YieldMax HOOD Option. By analyzing YieldMax HOOD'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 HOOD'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 HOOD specific price patterns or momentum indicators. Please read more on our technical analysis page.
YieldMax HOOD February 2, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 2.5 | |||
| Coefficient Of Variation | (717.88) | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.35 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 15.33 | |||
| Value At Risk | (7.00) | |||
| Potential Upside | 4.64 | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.9515 |
YieldMax HOOD February 2, 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 | (0.41) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 41.34 | ||
| Day Typical Price | 41.10 | ||
| Price Action Indicator | (1.14) | ||
| Market Facilitation Index | 2.13 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in YieldMax HOOD Option. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Investors evaluate YieldMax HOOD Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax HOOD'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 HOOD's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax HOOD's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax HOOD is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax HOOD's market price signifies the transaction level at which participants voluntarily complete trades.