Yieldmax Googl Option Etf Technical Analysis
| GOOY Etf | 13.74 0.17 1.22% |
As of the 13th of February 2026, YieldMax GOOGL maintains the Mean Deviation of 1.01, downside deviation of 1.39, and Market Risk Adjusted Performance of 0.2679. YieldMax GOOGL 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 GOOGL 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 GOOGL Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax GOOGL'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 GOOGL's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax GOOGL's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax GOOGL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax GOOGL's market price signifies the transaction level at which participants voluntarily complete trades.
YieldMax GOOGL '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 GOOGL'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 GOOGL.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in YieldMax GOOGL on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax GOOGL Option or generate 0.0% return on investment in YieldMax GOOGL over 90 days. YieldMax GOOGL is related to or competes with YieldMax META, YieldMax AAPL, YieldMax NFLX, YieldMax MSFT, Natixis ETF, American Century, and Defiance R2000. More
YieldMax GOOGL 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 GOOGL'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 GOOGL Option upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.39 | |||
| Information Ratio | 0.0229 | |||
| Maximum Drawdown | 8.02 | |||
| Value At Risk | (2.24) | |||
| Potential Upside | 1.97 |
YieldMax GOOGL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax GOOGL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax GOOGL's standard deviation. In reality, there are many statistical measures that can use YieldMax GOOGL historical prices to predict the future YieldMax GOOGL's volatility.| Risk Adjusted Performance | 0.0639 | |||
| Jensen Alpha | 0.07 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0226 | |||
| Treynor Ratio | 0.2579 |
YieldMax GOOGL February 13, 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 | 0.0639 | |||
| Market Risk Adjusted Performance | 0.2679 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 1.39 | |||
| Coefficient Of Variation | 1350.33 | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.87 | |||
| Information Ratio | 0.0229 | |||
| Jensen Alpha | 0.07 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0226 | |||
| Treynor Ratio | 0.2579 | |||
| Maximum Drawdown | 8.02 | |||
| Value At Risk | (2.24) | |||
| Potential Upside | 1.97 | |||
| Downside Variance | 1.92 | |||
| Semi Variance | 1.45 | |||
| Expected Short fall | (1.06) | |||
| Skewness | 0.2972 | |||
| Kurtosis | 1.63 |
YieldMax GOOGL Option Backtested Returns
At this stage we consider YieldMax Etf to be very steady. YieldMax GOOGL Option shows Sharpe Ratio of 0.0741, which attests that the etf had a 0.0741 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for YieldMax GOOGL Option, which you can use to evaluate the volatility of the etf. Please check out YieldMax GOOGL's Market Risk Adjusted Performance of 0.2679, downside deviation of 1.39, and Mean Deviation of 1.01 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The entity maintains a market beta of 0.35, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, YieldMax GOOGL's returns are expected to increase less than the market. However, during the bear market, the loss of holding YieldMax GOOGL is expected to be smaller as well.
Auto-correlation | 0.32 |
Below average predictability
YieldMax GOOGL Option has below average predictability. Overlapping area represents the amount of predictability between YieldMax GOOGL time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 GOOGL Option price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current YieldMax GOOGL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
YieldMax GOOGL 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 GOOGL Option Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for YieldMax GOOGL Option across different markets.
About YieldMax GOOGL 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 GOOGL 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 GOOGL Option based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on YieldMax GOOGL Option price pattern first instead of the macroeconomic environment surrounding YieldMax GOOGL Option. By analyzing YieldMax GOOGL'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 GOOGL'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 GOOGL specific price patterns or momentum indicators. Please read more on our technical analysis page.
YieldMax GOOGL February 13, 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 | 0.0639 | |||
| Market Risk Adjusted Performance | 0.2679 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 1.39 | |||
| Coefficient Of Variation | 1350.33 | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.87 | |||
| Information Ratio | 0.0229 | |||
| Jensen Alpha | 0.07 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0226 | |||
| Treynor Ratio | 0.2579 | |||
| Maximum Drawdown | 8.02 | |||
| Value At Risk | (2.24) | |||
| Potential Upside | 1.97 | |||
| Downside Variance | 1.92 | |||
| Semi Variance | 1.45 | |||
| Expected Short fall | (1.06) | |||
| Skewness | 0.2972 | |||
| Kurtosis | 1.63 |
YieldMax GOOGL February 13, 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 | 6,955 | ||
| Daily Balance Of Power | (0.89) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 13.79 | ||
| Day Typical Price | 13.77 | ||
| Price Action Indicator | (0.13) |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in YieldMax GOOGL 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 employment. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Investors evaluate YieldMax GOOGL Option using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating YieldMax GOOGL'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 GOOGL's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between YieldMax GOOGL's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax GOOGL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, YieldMax GOOGL's market price signifies the transaction level at which participants voluntarily complete trades.