DB Gold ETF Forward View - 20 Period Moving Average

DGP ETF  USD 184.67  0.69  0.38%   
DB Gold's 20 Period Moving Average forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The 20 Period Moving Average model projects DB Gold at 182.14 for the next trading day, below the most recent closing price. The 20 Period Moving Average output reflects statistical model results and is provided for reference purposes.
The 20-period moving average forecast for DB Gold Double replaces each daily value with the mean of that value and the 20 preceding closing prices. This is a widely used smoothing window that spans approximately one month of trading data.

20 Period Moving Average Price Forecast For the 12th of May 2026

Over a 90-day horizon, the 20 Period Moving Average model forecasts DB Gold at 182.14 for the next trading day, with a mean absolute deviation of 16.08 , mean absolute percentage error of 0.09 , and sum of absolute errors of 659.17 .
This indicates moderate forecast accuracy — the model captures the general trend but not all short-term variation in DB Gold's price. This output is intended for short-term analytical reference.

ETF Forecast Pattern

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Forecasted Value

The projected range for DB Gold reflects the model's ability to define credible downside and upside scenarios for the next trading day. Downside is estimated near 178.12 and upside near 186.15. The moderate spread reflects defined uncertainty around the forecast.
Market Value
184.67
178.12
182.14
Expected Value
186.15

Model Predictive Factors

The table below summarizes the 20 Period Moving Average model's error metrics for DB Gold ETF. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria87.6554
BiasArithmetic mean of the errors 11.3459
MADMean absolute deviation16.0772
MAPEMean absolute percentage error0.0932
SAESum of the absolute errors659.166
The broader window aggressively filters short-term noise in DB Gold price data, producing a smooth trend line. This makes it useful for identifying the prevailing direction of DB Gold Double prices but slow to respond to reversals. The model is reliable only for very short-term projections (one to two periods).

Other Forecasting Options for DB Gold

Analyzing DB Gold's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in DB Gold's chart signal overbought or oversold conditions.

DB Gold Comparable Funds

The instruments listed below are comparable funds for DB Gold and provide a practical reference set. Peer review is strongest when it focuses on NAV trend, discount or premium to NAV, yield, and fee burden. Differences across peer funds often reflect mandate, region, income policy, or leverage choices.
 Risk & Return  Correlation

DB Gold Market Strength Events

For investors tracking DB Gold Double, market strength indicators offer quantitative evaluation of ETF behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in DB Gold.

DB Gold Risk Indicators

Analyzing DB Gold's basic risk indicators provides a structured view of the risk-return trade-off for dgp etf. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for DB Gold.
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.

More Resources for DGP ETF Analysis

A clear view of DB Gold Double comes from reviewing its fund structure and performance trends. These indicators describe how the fund's returns and costs compare within its category.