US Global ETF Forward View - 20 Period Moving Average
| SEA ETF | USD 17.65 0.03 0.17% |
US Global'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 US Global at 17.31 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.
20 Period Moving Average Price Forecast For the 8th of May
Over a 90-day horizon, the 20 Period Moving Average model forecasts US Global at 17.31 for the next trading day, with a mean absolute deviation of 0.28 , mean absolute percentage error of 0.02 , and sum of absolute errors of 11.56 .This represents a very tight forecast — the model closely tracks US Global's recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest US Global | US Global Price Prediction | Research Analysis |
Forecasted Value
The projected range for US Global reflects the model's ability to define credible downside and upside scenarios for the next trading day. The projected band runs from roughly 16.10 on the downside to about 18.52 on the upside. The wide range indicates elevated uncertainty in short-term projections.
Model Predictive Factors
The table below summarizes the 20 Period Moving Average model's error metrics for US Global 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.| AIC | Akaike Information Criteria | 79.2075 |
| Bias | Arithmetic mean of the errors | -0.1317 |
| MAD | Mean absolute deviation | 0.2819 |
| MAPE | Mean absolute percentage error | 0.0165 |
| SAE | Sum of the absolute errors | 11.556 |
Other Forecasting Options for US Global
Analyzing US Global'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 US Global's chart signal overbought or oversold conditions.US Global Related Equities
The peer firms below within the Industrials space frame US Global's pricing and running costs in context. Profit comparisons show whether US Global earns above or below average returns next to its peers. Peer review is most informative when paired with absolute pricing and trend checks.
| Risk & Return | Correlation |
US Global Market Strength Events
For investors tracking US Global Sea, 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 US Global.
US Global Risk Indicators
Analyzing US Global's basic risk indicators provides a structured view of the risk-return trade-off for sea etf. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for US Global.
| Mean Deviation | 0.9321 | |||
| Semi Deviation | 0.9756 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.55 | |||
| Downside Variance | 1.53 | |||
| Semi Variance | 0.9519 | |||
| Expected Short fall | -1.00 |
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 SEA ETF Analysis
NAV captures SEA portfolio value, while market price captures the collective view of trading participants. The interplay between these measures shapes how US Global is evaluated across frameworks.
US Global's NAV reflects portfolio composition, while price reflects real-time supply and demand. ETF evaluation considers expense ratio, holdings quality, tracking accuracy, and category positioning.