SavvyShort Geared ETF Forward View - Double Exponential Smoothing
| NGDN ETF | 4.59 -0.02 -0.43% |
SavvyShort Geared's Double Exponential Smoothing reference data reflects the model's output when applied to available daily price observations. This page summarizes the model output and key accuracy metrics for reference. The projected value and error metrics are calculated from available daily price observations. This information is intended as reference material for analytical purposes.
The Double Exponential Smoothing forecasted value of SavvyShort Geared Natural on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 24.75.When SavvyShort Geared Natural prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any SavvyShort Geared Natural trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent SavvyShort Geared observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing reference values for SavvyShort Geared are derived from publicly available price data and should be used for informational purposes only. Double Exponential Smoothing Price Forecast For the 28th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of SavvyShort Geared Natural on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.42 , mean absolute percentage error of 0.44 , and the sum of the absolute errors of 24.75 .Please note that although there have been many attempts to predict SavvyShort 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 SavvyShort Geared's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ETF Forecast Pattern
Forecasted Value
Forecasting SavvyShort Geared Natural for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 0.05 on the downside to about 15.53 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SavvyShort Geared ETF data series using in forecasting. Note that when a statistical model is used to represent SavvyShort Geared 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0628 |
| MAD | Mean absolute deviation | 0.4194 |
| MAPE | Mean absolute percentage error | 0.0752 |
| SAE | Sum of the absolute errors | 24.7463 |
Other Forecasting Options for SavvyShort Geared
Relative Strength Index values for SavvyShort measure the speed and magnitude of recent price changes. Recognizing these clusters in SavvyShort Geared's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of SavvyShort ETF daily data can reveal short-term reversal or continuation signals. Identifying these patterns in SavvyShort ETF data supports better trade timing.SavvyShort Geared Related Equities
SavvyShort Geared's market space is best grasped by looking at the firms listed below. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across SavvyShort Geared's peer group. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
| Risk & Return | Correlation |
SavvyShort Geared Market Strength Events
Market strength indicators provide a structured view of how SavvyShort Geared ETF is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in SavvyShort Geared Natural. These signals help validate or refine position timing for SavvyShort Geared. Review these indicators alongside SavvyShort Geared's fundamental data for a complete analytical picture.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 4.59 | |||
| Day Typical Price | 4.59 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.02 | |||
| Relative Strength Index | 47.47 |
SavvyShort Geared Risk Indicators
The analysis of SavvyShort Geared's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with SavvyShort Geared's and helps determine how to manage it. A structured analysis of SavvyShort Geared's risk indicators is one of the most reliable ways to improve forecast accuracy. Investors who carefully evaluate the risks in SavvyShort Geared's are better positioned to make informed decisions.
| Mean Deviation | 7.05 | |||
| Standard Deviation | 10.91 | |||
| Variance | 119.1 |
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 SavvyShort Geared
The amount of media and story coverage tied to SavvyShort Geared Natural can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.
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.