Yieldmax Ai Tech Etf Market Value
| GPTY Etf | 42.55 0.61 1.41% |
| Symbol | YieldMax |
The market value of YieldMax AI Tech is measured differently than its book value, which is the value of YieldMax that is recorded on the company's balance sheet. Investors also form their own opinion of YieldMax's value that differs from its market value or its book value, called intrinsic value, which is YieldMax's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because YieldMax's market value can be influenced by many factors that don't directly affect YieldMax's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between YieldMax's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, YieldMax'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.
YieldMax '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'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.
| 10/17/2025 |
| 01/15/2026 |
If you would invest 0.00 in YieldMax on October 17, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax AI Tech or generate 0.0% return on investment in YieldMax over 90 days. YieldMax is related to or competes with 6 Meridian, Sprott Energy, InfraCap Equity, TrueShares Structured, T Rowe, AIM ETF, and KraneShares MSCI. More
YieldMax 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'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 AI Tech upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 6.46 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 2.17 |
YieldMax Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax's standard deviation. In reality, there are many statistical measures that can use YieldMax historical prices to predict the future YieldMax's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of YieldMax'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.
YieldMax AI Tech Backtested Returns
YieldMax AI Tech shows Sharpe Ratio of close to zero, which attests that the etf had a close to zero % return per unit of risk over the last 3 months. YieldMax AI Tech exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out YieldMax's Market Risk Adjusted Performance of (0.01), mean deviation of 1.09, and Standard Deviation of 1.48 to validate the risk estimate we provide. The entity maintains a market beta of 1.02, which attests to a somewhat significant risk relative to the market. YieldMax returns are very sensitive to returns on the market. As the market goes up or down, YieldMax is expected to follow.
Auto-correlation | -0.02 |
Very weak reverse predictability
YieldMax AI Tech has very weak reverse predictability. Overlapping area represents the amount of predictability between YieldMax time series from 17th of October 2025 to 1st of December 2025 and 1st of December 2025 to 15th of January 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 AI Tech price movement. The serial correlation of -0.02 indicates that only 2.0% of current YieldMax price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
YieldMax AI Tech lagged returns against current returns
Autocorrelation, which is YieldMax etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting YieldMax's etf expected returns. We can calculate the autocorrelation of YieldMax returns to help us make a trade decision. For example, suppose you find that YieldMax has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
YieldMax regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If YieldMax etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if YieldMax etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in YieldMax etf over time.
Current vs Lagged Prices |
| Timeline |
YieldMax Lagged Returns
When evaluating YieldMax's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of YieldMax etf have on its future price. YieldMax autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, YieldMax autocorrelation shows the relationship between YieldMax etf current value and its past values and can show if there is a momentum factor associated with investing in YieldMax AI Tech.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether YieldMax AI Tech offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of YieldMax's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Yieldmax Ai Tech Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Yieldmax Ai Tech Etf:Check out YieldMax Correlation, YieldMax Volatility and YieldMax Alpha and Beta module to complement your research on YieldMax. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
YieldMax 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.