Fm 10 ETF Forward View - Polynomial Regression
| ZTEN ETF | 50.75 0.26 0.51% |
Fm 10's Polynomial Regression forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Polynomial Regression model projects Fm 10 at 50.89 for the next trading day, above the most recent closing price. The Polynomial Regression output reflects statistical model results and is provided for reference purposes.
Polynomial Regression Price Forecast For the 8th of May
Over a 90-day horizon, the Polynomial Regression model forecasts Fm 10 at 50.89 for the next trading day, with a mean absolute deviation of 0.30 , mean absolute percentage error of 0.01 , and sum of absolute errors of 18.76 .This represents a very tight forecast — the model closely tracks Fm 10's recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest Fm 10 | Fm 10 Price Prediction | Research Analysis |
Forecasted Value
The projected range for Fm 10 reflects the model's ability to define credible downside and upside scenarios for the next trading day. The projected band runs from roughly 50.49 on the downside to about 51.29 on the upside. The narrow range indicates limited short-term dispersion.
Model Predictive Factors
The table below summarizes the Polynomial Regression model's error metrics for Fm 10 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 | 117.8645 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3025 |
| MAPE | Mean absolute percentage error | 0.006 |
| SAE | Sum of the absolute errors | 18.7556 |
Other Forecasting Options for Fm 10
Analyzing Fm 10's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Fm 10's chart signal overbought or oversold conditions.Fm 10 Related Equities
These related stocks within the Long-Term Bond space give benchmarks for judging Fm 10's results, margins, and growth trend. Market cap and total value checks frame Fm 10's size within the competitive field.
| Risk & Return | Correlation |
Fm 10 Market Strength Events
For investors tracking Fm 10 Year Investment, market strength indicators offer quantitative evaluation of ETF behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in Fm 10.
Fm 10 Risk Indicators
Analyzing Fm 10's basic risk indicators provides a structured view of the risk-return trade-off for zten etf. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for Fm 10.
| Mean Deviation | 0.2975 | |||
| Standard Deviation | 0.3883 | |||
| Variance | 0.1507 |
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.