Innovator SAMPP ETF Forward View - Polynomial Regression
| UJUL ETF | USD 40.24 0.08 0.20% |
Innovator SAMPP 500's Polynomial Regression forecast is generated from the selected price series and evaluated against observed values. Forecast accuracy depends on how stable the recent price trend has been — trending markets suit some models better than others. The forecast is recalculated with each session so it does not rely on stale inputs. A small Bias confirms the model is not systematically over- or under-predicting. The Polynomial Regression model projects Innovator SAMPP at 40.61 for the next trading day, above the most recent closing price. All values shown are model-generated projections and should be evaluated alongside other analytical inputs.
Polynomial Regression Price Forecast For the 11th of May 2026
Over a 90-day horizon, the Polynomial Regression model forecasts Innovator SAMPP at 40.61 for the next trading day, with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.01 , and sum of absolute errors of 16.53 .This represents a very tight forecast — the model closely tracks Innovator SAMPP's recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest Innovator SAMPP | Innovator SAMPP Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast range for Innovator SAMPP defines statistically derived downside and upside boundaries based on model performance. The model places downside around 40.15 and upside around 41.06 for the next session. The narrow range indicates limited short-term dispersion.
Model Predictive Factors
The table below summarizes the Polynomial Regression model's error metrics for Innovator SAMPP 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.| AIC | Akaike Information Criteria | 115.9101 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2711 |
| MAPE | Mean absolute percentage error | 0.007 |
| SAE | Sum of the absolute errors | 16.5347 |
Other Forecasting Options for Innovator SAMPP
MACD analysis of Innovator SAMPP tracks the relationship between two exponential moving averages of Innovator SAMPP's price. Many Innovator SAMPP's traders use Fibonacci levels to set entry and exit targets based on prior price swings. Average True Range measures the typical daily price swing for Innovator SAMPP, accounting for gaps. The frequency and magnitude of gaps reveal how much new information is being priced into Innovator SAMPP outside regular hours.Innovator SAMPP Comparable Funds
The related funds below provide a category-based comparison set for Innovator SAMPP's. Looking across similar funds helps show whether Innovator SAMPP's pricing and risk profile are typical for the category. Peer comparison adds context for Innovator SAMPP without forcing a company-style competitive framework onto the fund. This category lens gives the comparison list a clearer purpose for Innovator SAMPP.
| Risk & Return | Correlation |
Innovator SAMPP Market Strength Events
Market strength indicators for Innovator SAMPP quantify how the ETF responds to shifts in volume and sentiment. These indicators capture shifts in momentum that may precede significant price moves in Innovator SAMPP. The Market Facilitation Index measures how efficiently price moves relative to volume — rising MFI with rising volume signals strong trend participation. Monitoring these indicators for Innovator SAMPP through complete market cycles reveals recurring patterns.
Innovator SAMPP Risk Indicators
Analyzing Innovator SAMPP's risk indicators separates symmetric price swings from asymmetric downside exposure. Understanding and quantifying the risks present in Innovator SAMPP helps place recent price behavior in context. These metrics are most informative when compared against similar equities with comparable growth profiles and market capitalization. When semi-deviation is high relative to standard deviation, Innovator SAMPP's losses have been disproportionately large compared to gains.
| Mean Deviation | 0.3272 | |||
| Semi Deviation | 0.3383 | |||
| Standard Deviation | 0.4539 | |||
| Variance | 0.206 | |||
| Downside Variance | 0.2065 | |||
| Semi Variance | 0.1145 | |||
| Expected Short fall | -0.36 |
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 Innovator SAMPP ETF Analysis
Innovator SAMPP 500 can be assessed through both market price and NAV, which can tell different stories during volatile periods.
Innovator SAMPP NAV depends on underlying asset values, while price depends on secondary market activity. Fund-level metrics such as tracking difference and expense ratio add depth to the analysis.