COMMODITIES STRATEGY Mutual Fund Forward View - Double Exponential Smoothing
| RYMBX Fund | USD 202.65 3.94 1.98% |
COMMODITIES STRATEGY'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.
The Double Exponential Smoothing forecasted value of Commodities Strategy Fund on the next trading day is expected to be 203.63 with a mean absolute deviation of 2.37 and the sum of the absolute errors of 141.98.When Commodities Strategy Fund 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 Commodities Strategy Fund 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 COMMODITIES STRATEGY observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing reference values for COMMODITIES STRATEGY are derived from publicly available price data and should be used for informational purposes only. Double Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Commodities Strategy Fund on the next trading day is expected to be 203.63 with a mean absolute deviation of 2.37 , mean absolute percentage error of 11.79 , and the sum of the absolute errors of 141.98 .Please note that although there have been many attempts to predict COMMODITIES Mutual Fund 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 COMMODITIES STRATEGY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates COMMODITIES STRATEGY's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 201.80 on the downside to about 205.45 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 COMMODITIES STRATEGY mutual fund data series using in forecasting. Note that when a statistical model is used to represent COMMODITIES STRATEGY mutual fund, 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 | -0.3997 |
| MAD | Mean absolute deviation | 2.3663 |
| MAPE | Mean absolute percentage error | 0.0132 |
| SAE | Sum of the absolute errors | 141.9805 |
Other Forecasting Options for COMMODITIES STRATEGY
Relative Strength Index values for COMMODITIES measure the speed and magnitude of recent price changes. Recognizing these clusters in COMMODITIES STRATEGY's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of COMMODITIES Mutual Fund daily data can reveal short-term reversal or continuation signals.COMMODITIES STRATEGY Related Equities
These stocks are related to COMMODITIES STRATEGY within the Commodities Broad Basket space and can be used for peer review, pricing, or spreading risk. Revenue and margin checks across this group help investors set expectations for COMMODITIES STRATEGY's results.
| Risk & Return | Correlation |
COMMODITIES STRATEGY Market Strength Events
Market strength indicators provide a structured view of how COMMODITIES STRATEGY mutual fund is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in Commodities Strategy Fund. These signals help validate or refine position timing for COMMODITIES STRATEGY.
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 202.65 | |||
| Day Typical Price | 202.65 | |||
| Price Action Indicator | 1.97 | |||
| Period Momentum Indicator | 3.94 | |||
| Relative Strength Index | 63.55 |
COMMODITIES STRATEGY Risk Indicators
The analysis of COMMODITIES STRATEGY's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with COMMODITIES STRATEGY's and helps determine how to manage it. A structured analysis of COMMODITIES STRATEGY's risk indicators is one of the most reliable ways to improve forecast accuracy.
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.46 | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.09 | |||
| Downside Variance | 3.2 | |||
| Semi Variance | 2.12 | |||
| Expected Short fall | -1.57 |
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 COMMODITIES STRATEGY
A coverage review of Commodities Strategy Fund shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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.