FT AlphaDEX Etf Forward View - Simple Moving Average
| FHG Etf | CAD 59.58 2.40 4.20% |
FT AlphaDEX's Simple Moving Average reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Simple Moving Average forecasted value of FT AlphaDEX Industrials on the next trading day is expected to be 59.58 with a mean absolute deviation of 0.75 and the sum of the absolute errors of 45.07.The simple moving average model is conceptually a linear regression of the current value of FT AlphaDEX Industrials price series against current and previous (unobserved) value of FT AlphaDEX. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future FT AlphaDEX's Simple Moving Average reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Simple Moving Average Price Forecast For the 26th of March
Given 90 days horizon, the Simple Moving Average forecasted value of FT AlphaDEX Industrials on the next trading day is expected to be 59.58 with a mean absolute deviation of 0.75 , mean absolute percentage error of 1.00 , and the sum of the absolute errors of 45.07 .Please note that although there have been many attempts to predict FHG Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that FT AlphaDEX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
| Backtest FT AlphaDEX | FT AlphaDEX Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates FT AlphaDEX's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of FT AlphaDEX etf data series using in forecasting. Note that when a statistical model is used to represent FT AlphaDEX etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.2676 |
| Bias | Arithmetic mean of the errors | -0.0355 |
| MAD | Mean absolute deviation | 0.7512 |
| MAPE | Mean absolute percentage error | 0.0122 |
| SAE | Sum of the absolute errors | 45.07 |
Other Forecasting Options for FT AlphaDEX
Analyzing FT AlphaDEX'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 FT AlphaDEX's chart can signal overbought or oversold conditions.FT AlphaDEX Related Equities
These related stocks within the Sector Equity space give benchmarks for judging FT AlphaDEX's results, margins, and growth trend. Checking FT AlphaDEX against peers on P/E, margins, and return on equity helps put its position in context. Peer pricing works best when the firms compared share similar business models and end markets. This peer set gives the context needed for a well-rounded view of FT AlphaDEX.
| Risk & Return | Correlation |
FT AlphaDEX Market Strength Events
Market strength indicators for FT AlphaDEX etf provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade FT AlphaDEX.
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 59.58 | |||
| Day Typical Price | 59.58 | |||
| Price Action Indicator | 1.2 | |||
| Period Momentum Indicator | 2.4 |
FT AlphaDEX Risk Indicators
Assessing FT AlphaDEX's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting FT AlphaDEX's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.19 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.07 | |||
| Downside Variance | 1.92 | |||
| Semi Variance | 1.42 | |||
| Expected Short fall | -1.08 |
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.
Story Coverage note for FT AlphaDEX
A coverage review of FT AlphaDEX Industrials shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
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Other Information on Investing in FHG Etf
Financial ratios highlight how financial values interact within FT AlphaDEX. These metrics link profitability, liquidity, and valuation signals.