SPDR Russell ETF Forward View - Triple Exponential Smoothing

ONEY ETF  USD 124.47  -1.56  -1.24%   
SPDR Russell's Triple Exponential Smoothing 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 Triple Exponential Smoothing model projects SPDR Russell at 124.44 for the next trading day, below the most recent closing price. The Triple Exponential Smoothing output reflects statistical model results and is provided for reference purposes.
Triple exponential smoothing (Holt-Winters method) for SPDR Russell extends the double exponential model by adding a seasonality component. It simultaneously estimates the level, trend, and periodic pattern in SPDR Russell 1000 price series.

Triple Exponential Smoothing Price Forecast For the 6th of May

Over a 90-day horizon, the Triple Exponential Smoothing model forecasts SPDR Russell at 124.44 for the next trading day, with a mean absolute deviation of 0.68 , mean absolute percentage error of 0.01 , and sum of absolute errors of 40.09 .
This represents a very tight forecast — the model closely tracks SPDR Russell's recent price behavior. This output is intended for short-term analytical reference.

ETF Forecast Pattern

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Forecasted Value

This forecast for SPDR Russell frames the expected trading range using downside and upside bounds rather than a single point target. The projected band runs from roughly 123.69 on the downside to about 125.19 on the upside. The narrow range indicates limited short-term dispersion.
Market Value
124.47
123.69
124.44
Expected Value
125.19

Model Predictive Factors

The table below summarizes the Triple Exponential Smoothing model's error metrics for SPDR Russell 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0347
MADMean absolute deviation0.6795
MAPEMean absolute percentage error0.0056
SAESum of the absolute errors40.09
This model is designed for SPDR Russell price data that exhibits both a directional trend and recurring seasonal patterns. If the underlying series lacks seasonality, simpler models may produce tighter forecasts with fewer parameters. As with all exponential smoothing methods, recent observations carry the greatest weight in the forecast.

Other Forecasting Options for SPDR Russell

Analyzing SPDR Russell'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 SPDR Russell's chart signal overbought or oversold conditions.

SPDR Russell Related Equities

The stocks listed below are peers of SPDR Russell within the Mid-Cap Value space and offer context for ranking and strength. Return on equity across these peers shows how well each firm turns capital into profit. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. The data below allows side-by-side review across the most common financial metrics.
 Risk & Return  Correlation

SPDR Russell Market Strength Events

For investors tracking SPDR Russell 1000, 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 SPDR Russell.

SPDR Russell Risk Indicators

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