SPDR Gold Etf Forward View - Double Exponential Smoothing
| GLDM Etf | USD 90.90 -4.91 -5.12% |
The Double Exponential Smoothing forecast reference data for SPDR Gold Mini is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Double Exponential Smoothing forecasted value of SPDR Gold Mini on the next trading day is expected to be 90.54 with a mean absolute deviation of 1.81 and the sum of the absolute errors of 106.88.When SPDR Gold Mini 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 SPDR Gold Mini 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 SPDR Gold observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for SPDR Gold Mini are reference data reflecting model output based on available historical prices. Double Exponential Smoothing Price Forecast For the 20th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of SPDR Gold Mini on the next trading day is expected to be 90.54 with a mean absolute deviation of 1.81 , mean absolute percentage error of 7.03 , and the sum of the absolute errors of 106.88 .Please note that although there have been many attempts to predict SPDR 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 SPDR Gold'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 SPDR Gold's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 SPDR Gold etf data series using in forecasting. Note that when a statistical model is used to represent SPDR Gold 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 | 0.5572 |
| MAD | Mean absolute deviation | 1.8114 |
| MAPE | Mean absolute percentage error | 0.0189 |
| SAE | Sum of the absolute errors | 106.8751 |
Other Forecasting Options for SPDR Gold
Whether a novice or experienced investor, anyone considering SPDR needs to understand the dynamics of SPDR Gold's price movement. Price charts for SPDR Etf contain a significant amount of noise that can distort investment decisions.SPDR Gold Related Equities
The following equities are related to SPDR Gold within the Commodities Focused space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SPDR Gold against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
SPDR Gold Market Strength Events
Analyzing market strength indicators for SPDR Gold enables investors to understand how the etf performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in SPDR Gold Mini.
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 90.9 | |||
| Day Typical Price | 90.9 | |||
| Price Action Indicator | -2.45 | |||
| Period Momentum Indicator | -4.91 | |||
| Relative Strength Index | 42.45 |
SPDR Gold Risk Indicators
Identifying and analyzing SPDR Gold's key risk indicators is a foundational step in projecting how its price may evolve. This process helps investors quantify the risk associated with SPDR Gold's and decide how to manage it.
| Mean Deviation | 1.6 | |||
| Semi Deviation | 2.59 | |||
| Standard Deviation | 2.35 | |||
| Variance | 5.54 | |||
| Downside Variance | 8.3 | |||
| Semi Variance | 6.7 | |||
| Expected Short fall | -1.56 |
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 SPDR Gold
Coverage intensity for SPDR Gold Mini matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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More Resources for SPDR Etf Analysis
A structured review of SPDR Gold Mini often starts with core financial statements and trend context. Financial ratios provide a structured lens for assessing SPDR Gold's profitability and growth trends. Below are reports that help frame SPDR Gold Mini Etf in context:Historical Fundamental Analysis of SPDR Gold provides a cross-check on projections for SPDR Gold. The historical view provides additional context. SPDR Gold information on this page supports broader research rather than acting as a stand-alone signal. SPDR Gold peer comparison and risk tools below help frame relative strengths and weaknesses. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Investors evaluate SPDR Gold Mini using market value and book value, each describing different facets of the business. Value and price for SPDR Gold are related but not identical, and they can diverge across cycles. Trading price represents the transaction level agreed by market participants.
It is useful to distinguish SPDR Gold's value from its trading price, which are computed with different methods. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. SPDR Gold's market quotation reflects the latest level where a willing buyer met a willing seller.