American Century ETF Forward View - Polynomial Regression
| QINT ETF | USD 70.54 0.73 1.05% |
Polynomial Regression is applied to American Century Quality's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. These values update automatically with each new closing price. The Polynomial Regression model projects American Century at 70.44 for the next trading day, below the most recent closing price. This Polynomial Regression output is provided as analytical reference and does not constitute a trading recommendation.
Polynomial Regression Price Forecast For the 10th of May
Over a 90-day horizon, the Polynomial Regression model forecasts American Century at 70.44 for the next trading day, with a mean absolute deviation of 1.19 , mean absolute percentage error of 0.02 , and sum of absolute errors of 74.06 .This represents a very tight forecast — the model closely tracks American Century's recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest American Century | American Century Price Prediction | Research Analysis |
Forecasted Value
American Century's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The current forecast range spans downside near 69.10 and upside near 71.78. The moderate spread reflects defined uncertainty around the forecast.
Model Predictive Factors
The table below summarizes the Polynomial Regression model's error metrics for American Century 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 | 120.7566 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1945 |
| MAPE | Mean absolute percentage error | 0.0177 |
| SAE | Sum of the absolute errors | 74.0567 |
Other Forecasting Options for American Century
American Century's daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in American Century often signals an upcoming reversal or acceleration. Gap analysis of American Century ETF data examines overnight jumps between American Century's closing and opening prices.American Century Comparable Funds
These peer funds are related to American Century and help frame its category context. This peer set gives investors a way to compare American Century's structure and outcomes against similar portfolio vehicles. The most informative gaps tend to appear in total return, risk-adjusted return, and distribution consistency.
| Risk & Return | Correlation |
American Century Market Strength Events
Market strength indicators for American Century ETF provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in American Century. Median and Typical Price smooth out intraday extremes, providing a cleaner reference level for evaluating American Century sessions.
American Century Risk Indicators
Assessing American Century's risk indicators is a structured way to evaluate the risk-return trade-off for american century etf. The level of risk embedded in American Century's feeds directly into exposure calibration. Comparing American Century's downside variance to total variance reveals whether the risk profile is skewed toward losses.
| Mean Deviation | 1.02 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.86 | |||
| Downside Variance | 1.64 | |||
| Semi Variance | 1.54 | |||
| Expected Short fall | -1.09 |
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.