Harvest Eli Etf Forward View - Double Exponential Smoothing
| LLHE Etf | 8.22 0.14 1.73% |
Harvest Eli'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 Harvest Eli Lilly on the next trading day is expected to be 8.10 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.82.When Harvest Eli Lilly 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 Harvest Eli Lilly 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 Harvest Eli observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing reference values for Harvest Eli are derived from publicly available price data and should be used for informational purposes only. Double Exponential Smoothing Price Forecast For the 27th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Harvest Eli Lilly on the next trading day is expected to be 8.10 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 10.82 .Please note that although there have been many attempts to predict Harvest 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 Harvest Eli's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates Harvest Eli's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 5.31 on the downside to about 10.90 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 Harvest Eli etf data series using in forecasting. Note that when a statistical model is used to represent Harvest Eli 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 | 0.0428 |
| MAD | Mean absolute deviation | 0.1804 |
| MAPE | Mean absolute percentage error | 0.0196 |
| SAE | Sum of the absolute errors | 10.8232 |
Other Forecasting Options for Harvest Eli
Relative Strength Index values for Harvest measure the speed and magnitude of recent price changes. Recognizing these clusters in Harvest Eli's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of Harvest Etf daily data can reveal short-term reversal or continuation signals. Identifying these patterns in Harvest Etf data supports better trade timing.Harvest Eli Related Equities
Checking Harvest Eli against related firms within the Alternative Other space helps investors see where the stock stands among peers. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Harvest Eli's peer group. Sector-wide trends across this peer group can help split company-level factors from broader forces. The data below allows side-by-side review across the most common financial metrics.
| Risk & Return | Correlation |
Harvest Eli Market Strength Events
Market strength indicators provide a structured view of how Harvest Eli etf is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Harvest Eli Lilly. These signals help validate or refine position timing for Harvest Eli. Review these indicators alongside Harvest Eli's fundamental data for a complete analytical picture.
Harvest Eli Risk Indicators
The analysis of Harvest Eli's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with Harvest Eli's and helps determine how to manage it. A structured analysis of Harvest Eli's risk indicators is one of the most reliable ways to improve forecast accuracy. Investors who carefully evaluate the risks in Harvest Eli's are better positioned to make informed decisions.
| Mean Deviation | 1.82 | |||
| Standard Deviation | 2.71 | |||
| Variance | 7.33 |
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 Harvest Eli
The amount of media and story coverage tied to Harvest Eli Lilly can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Financial ratios for Harvest Eli organize key financial data into structured relationships. They reflect how financial results tie into valuation measures.