ZKB Silver Etf Forward View - Simple Moving Average
| ZSILHE Etf | EUR 336.65 -2.65 -0.78% |
The Simple Moving Average forecast shown here for ZKB Silver is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Moving Average output serves as one input among many for analytical review.
The Simple Moving Average forecasted value of ZKB Silver ETF on the next trading day is expected to be 336.65 with a mean absolute deviation of 20.58 and the sum of the absolute errors of 1,214.The simple moving average model is conceptually a linear regression of the current value of ZKB Silver ETF price series against current and previous (unobserved) value of ZKB Silver. 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 This Simple Moving Average reference page for ZKB Silver presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 24th of March
Given 90 days horizon, the Simple Moving Average forecasted value of ZKB Silver ETF on the next trading day is expected to be 336.65 with a mean absolute deviation of 20.58 , mean absolute percentage error of 867.09 , and the sum of the absolute errors of 1,214 .Please note that although there have been many attempts to predict ZKB 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 ZKB Silver'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
This next-day forecast for ZKB Silver ETF uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of ZKB Silver etf data series using in forecasting. Note that when a statistical model is used to represent ZKB Silver 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 | 121.1999 |
| Bias | Arithmetic mean of the errors | -0.1216 |
| MAD | Mean absolute deviation | 20.5835 |
| MAPE | Mean absolute percentage error | 0.0505 |
| SAE | Sum of the absolute errors | 1214.425 |
Other Forecasting Options for ZKB Silver
The distribution of ZKB Silver's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in ZKB Silver's chart that simple price charts miss. The slope of ZKB Silver's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in ZKB.ZKB Silver Related Equities
ZKB Silver's market space within the Commodities - Precious Metals space is best grasped by looking at the firms listed below. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across ZKB Silver's peer group.
| Risk & Return | Correlation |
ZKB Silver Market Strength Events
Market strength indicators for ZKB Silver give insight into the etf's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in ZKB Silver ETF. Market strength analysis for ZKB Silver ETF works best when combined with volume and volatility data. For ZKB Silver, strength indicators are a practical complement to price and fundamental analysis.
ZKB Silver Risk Indicators
A thorough review of ZKB Silver's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in ZKB Silver's allows investors to make better decisions about entry, sizing, and hedging. The assessment of ZKB Silver's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in ZKB Silver's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 4.11 | |||
| Semi Deviation | 6.1 | |||
| Standard Deviation | 5.76 | |||
| Variance | 33.19 | |||
| Downside Variance | 44.69 | |||
| Semi Variance | 37.16 | |||
| Expected Short fall | -3.97 |
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 ZKB Silver
Coverage intensity for ZKB Silver ETF matters because narrative visibility can influence sentiment, participation, and volatility around the name. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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ZKB Silver ratios capture relationships across its reported financial data. They summarize how financial performance connects to valuation.