YieldmaxTM Ultra ETF Forward View - 20 Period Moving Average

SLTY ETF   25.66  0.11  0.43%   
The 20 Period Moving Average output for YieldmaxTM Ultra Short is derived from daily price data across the evaluation window. The error pattern reveals whether the model tracked prices consistently or diverged during volatile sessions. Parameters are re-estimated as new trading sessions are recorded, keeping the forecast current. The 20 Period Moving Average model projects YieldmaxTM Ultra at 26.23 for the next trading day, above the most recent closing price. YieldmaxTM Ultra's 20 Period Moving Average forecast is intended for short-term analytical reference.
The 20-period moving average forecast for YieldmaxTM Ultra Short replaces each daily value with the mean of that value and the 20 preceding closing prices. This is a widely used smoothing window that spans approximately one month of trading data.

20 Period Moving Average Price Forecast For the 12th of May 2026

Over a 90-day horizon, the 20 Period Moving Average model forecasts YieldmaxTM Ultra at 26.23 for the next trading day, with a mean absolute deviation of 0.96 , mean absolute percentage error of 0.04 , and sum of absolute errors of 39.50 .
This represents a tight forecast with good short-term tracking of YieldmaxTM Ultra's price movement. This output is intended for short-term analytical reference.

ETF Forecast Pattern

Backtest YieldmaxTM Ultra  YieldmaxTM Ultra Price Prediction  Research Analysis  

Forecasted Value

YieldmaxTM Ultra's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The projected band runs from roughly 25.31 on the downside to about 27.15 on the upside. The moderate spread reflects defined uncertainty around the forecast.
Market Value
25.66
26.23
Expected Value
27.15

Model Predictive Factors

The table below summarizes the 20 Period Moving Average model's error metrics for YieldmaxTM Ultra ETF. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria81.694
BiasArithmetic mean of the errors 0.7638
MADMean absolute deviation0.9634
MAPEMean absolute percentage error0.0359
SAESum of the absolute errors39.498
The broader window aggressively filters short-term noise in YieldmaxTM Ultra price data, producing a smooth trend line. This makes it useful for identifying the prevailing direction of YieldmaxTM Ultra Short prices but slow to respond to reversals. The model is reliable only for very short-term projections (one to two periods).

Other Forecasting Options for YieldmaxTM Ultra

Volatility clustering is a well-documented feature of YieldmaxTM Ultra ETF price data where periods of large moves tend to follow other large moves. When YieldmaxTM Ultra's RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in YieldmaxTM Ultra's returns tend to persist when driven by structural factors like earnings calendars or index rebalancing.

YieldmaxTM Ultra Comparable Funds

Investors studying YieldmaxTM Ultra often review similar funds to compare yield, discount behavior, and risk. Looking across similar funds helps show whether YieldmaxTM Ultra's pricing and risk profile are typical for the category. Category-relative analysis helps separate fund-specific behavior from broader market moves affecting the whole group.
 Risk & Return  Correlation

YieldmaxTM Ultra Market Strength Events

Accumulation/Distribution and Balance of Power for YieldmaxTM Ultra reveal whether buying or selling pressure dominates recent sessions. Balance of Power trending positive indicates that buyers are consistently closing YieldmaxTM Ultra near session highs. These signals help explain whether price direction and session structure are moving together for YieldmaxTM Ultra.

YieldmaxTM Ultra Risk Indicators

Risk indicator analysis for YieldmaxTM Ultra quantifies how much price variability the ETF has exhibited over the measurement window. Downside variance exceeding total variance indicates that negative moves in YieldmaxTM Ultra have been larger or more frequent than positive ones. Mean deviation provides a more intuitive measure of typical price fluctuation than variance because it stays in the same units as YieldmaxTM Ultra's price.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

More Resources for YieldmaxTM Ultra ETF Analysis

YieldmaxTM Ultra Short's trading price can diverge from NAV, the per-share value of the fund's underlying assets. Trading price represents the transaction level agreed by market participants.
YieldmaxTM Ultra NAV depends on underlying asset values, while price depends on secondary market activity. Premium-to-NAV history and bid-ask spread trends are among factors that shape perceived value.