SPDR SAMPP Etf Forward View - Simple Exponential Smoothing
| XOP Etf | USD 159.00 -2.82 -1.74% |
Momentum
Buy Extended
Oversold | Overbought |
The hype view outlines SPDR SAMPP's attention response alongside peer coverage. This view uses options positioning and short interest to outline sentiment around SPDR SAMPP.
SPDR SAMPP Implied Volatility | 0.41 |
Changes in SPDR SAMPP's implied volatility directly affect the price of all SPDR SAMPP options regardless of the direction of the underlying stock. A volatility expansion benefits option holders; a contraction benefits sellers.
The Simple Exponential Smoothing forecasted value of SPDR SAMPP Oil on the next trading day is expected to be 159.00 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 121.36.SPDR SAMPP after-hype prediction price | $ 159.0 |
The sentiment summary complements forecasting and technical views with analyst estimates and earnings data.
Cross-verify projections for SPDR SAMPP using Historical Fundamental Analysis of SPDR SAMPP. The analysis adds historical context for the projection set.Rule 16 Reference for the current SPDR contract - Market Context
Based on Rule 16, the market-implied daily move for 2026-06-18 options is about 0.0256%. At a recent price around $ 159.0, the implied daily move is approximately $ 0.0407 , which is informational only.
Open Interest Overview: 2026-06-18 SPDR Contracts
Open interest data captures outstanding SPDR SAMPP option contracts and helps map participation over time.
SPDR SAMPP Additional Predictive Modules
Most predictive techniques to examine SPDR price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SPDR using various technical indicators. When you analyze SPDR charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SPDR SAMPP Simple Exponential Smoothing Price Forecast For the 12th of March 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SPDR SAMPP Oil on the next trading day is expected to be 159.00 with a mean absolute deviation of 1.99 , mean absolute percentage error of 6.15 , and the sum of the absolute errors of 121.36 .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 SAMPP's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SPDR SAMPP Etf Forecast Pattern
| Backtest SPDR SAMPP | SPDR SAMPP Price Prediction | Research Analysis |
SPDR SAMPP Forecasted Value
This next-day forecast for SPDR SAMPP Oil uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SPDR SAMPP etf data series using in forecasting. Note that when a statistical model is used to represent SPDR SAMPP 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 | 119.9265 |
| Bias | Arithmetic mean of the errors | -0.4059 |
| MAD | Mean absolute deviation | 1.9895 |
| MAPE | Mean absolute percentage error | 0.0143 |
| SAE | Sum of the absolute errors | 121.36 |
Investors who believe in mean reversion view SPDR SAMPP's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
SPDR SAMPP After-Hype Price Density Analysis
The shape of SPDR SAMPP's price distribution after major news events tends to be skewed, with larger potential moves to the downside than to the upside for established companies like SPDR SAMPP. This asymmetry is a key input for options pricing and risk management.
Next price density |
| Expected price to next headline |
SPDR SAMPP Estimiated After-Hype Price Volatility
By studying SPDR SAMPP's historical news reactions, we generate empirical estimates of the price boundaries that follow significant headlines. SPDR SAMPP's after-hype downside and upside margins for the prediction period are 157.23 and 160.77, respectively. These estimates are most reliable when SPDR SAMPP's news reaction patterns have been consistent over multiple events.
Current Value
The after-hype framework applied to SPDR SAMPP Oil assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
SPDR SAMPP Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as SPDR SAMPP is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SPDR SAMPP backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with SPDR SAMPP, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.33 | 1.77 | 0.60 | 0.23 | 7 Events | 5 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
159.00 | 159.00 | 0.00 |
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SPDR SAMPP Hype Timeline
On the 11th of March 2026 SPDR SAMPP Oil is traded for 159.00. The ETF has historical hype elasticity of -0.6, and average elasticity to hype of competition of -0.23. SPDR is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 96.72%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at 0.33%. %. The volatility of related hype on SPDR SAMPP is about 256.15%, with the expected price after the next announcement by competition of 158.77. About 99.0% of the ETF outstanding shares are owned by institutional investors. The book value of SPDR SAMPP was at this time reported as 34.79. The ETF recorded earning per share (EPS) of 12.01. SPDR SAMPP Oil completed a 1-4 stock split on 30th of March 2020. Considering the 90-day investment horizon the next estimated press release will be in 7 days. Cross-verify projections for SPDR SAMPP using Historical Fundamental Analysis of SPDR SAMPP. The analysis adds historical context for the projection set.SPDR SAMPP Related Hype Analysis
News about regulatory changes, technological disruptions, or macroeconomic shifts can affect SPDR SAMPP's entire competitive landscape simultaneously. Monitoring peer reactions to such events helps investors anticipate SPDR SAMPP's likely response.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XHB | SPDR SAMPP Homebuilders | -1.70 | 8 per month | 0.00 | -0.04 | 3.06 | -2.33 | 7.86 | |
| ILF | iShares Latin America | -0.20 | 4 per month | 1.77 | 0.13 | 2.33 | -3.11 | 7.77 | |
| EWW | iShares MSCI Mexico | 0.77 | 5 per month | 1.56 | 0.11 | 2.92 | -2.08 | 9.56 | |
| XSD | SPDR SAMPP Semiconductor | -6.34 | 9 per month | 0.00 | -0.0023 | 3.09 | -3.38 | 9.21 | |
| EWG | iShares MSCI Germany | 0.04 | 9 per month | 1.19 | 0.01 | 1.15 | -1.85 | 5.04 | |
| HDEF | Xtrackers MSCI EAFE | 0.33 | 4 per month | 0.65 | 0.14 | 1.50 | -1.03 | 4.16 | |
| VSTCX | Vanguard Strategic Small Cap | -0.18 | 1 per month | 0.86 | 0.12 | 1.59 | -1.64 | 8.55 | |
| JMEE | JPMorgan Market Expansion | 0.65 | 3 per month | 0.84 | 0.08 | 1.50 | -1.38 | 5.28 | |
| FUTY | Fidelity MSCI Utilities | -0.16 | 5 per month | 0.77 | 0.12 | 1.46 | -1.31 | 4.35 | |
| ESML | iShares ESG Aware | -0.12 | 3 per month | 0.87 | 0.07 | 1.59 | -1.54 | 5.21 |
Other Forecasting Options for SPDR SAMPP
Investors at all stages of experience who consider SPDR must develop an understanding of SPDR SAMPP's price dynamics. The noise embedded in SPDR Etf price charts can create misleading signals and skew investment decisions.SPDR SAMPP Related Equities
The following equities are related to SPDR SAMPP within the Equity Energy space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SPDR SAMPP 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 SAMPP Market Strength Events
Market strength indicators applied to SPDR SAMPP etf give investors a structured view of the security's momentum relative to the overall market. Using these indicators, traders can refine their timing when entering or exiting positions in SPDR SAMPP Oil.
| Accumulation Distribution | 265600.0 | |||
| Daily Balance Of Power | -0.62 | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 160.01 | |||
| Day Typical Price | 159.67 | |||
| Price Action Indicator | -2.42 | |||
| Period Momentum Indicator | -2.82 | |||
| Relative Strength Index | 62.36 |
SPDR SAMPP Risk Indicators
Evaluating SPDR SAMPP's risk indicators is an important step in accurately forecasting its price and assessing the suitability of an investment. Understanding the risk profile of SPDR SAMPP's allows investors to make more informed decisions about position sizing and risk.
| Mean Deviation | 1.37 | |||
| Semi Deviation | 1.35 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.98 | |||
| Downside Variance | 2.72 | |||
| Semi Variance | 1.82 | |||
| Expected Short fall | -1.45 |
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 SAMPP
Coverage intensity for SPDR SAMPP Oil 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.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.
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More Resources for SPDR Etf Analysis
A comprehensive view of SPDR SAMPP Oil starts with financial statements and ratio context. Ratios and trend metrics help frame SPDR SAMPP's operating context. Highlighted below are reports that provide context for SPDR SAMPP Oil Etf:Cross-verify projections for SPDR SAMPP using Historical Fundamental Analysis of SPDR SAMPP. The analysis adds historical context for the projection set. Analysis related to SPDR SAMPP should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Understanding SPDR SAMPP Oil includes distinguishing between market value and book value, where book value reflects SPDR accounting equity. SPDR SAMPP's market capitalization is 10.9 B. A P/B ratio of 2.76 indicates the market values SPDR SAMPP above its accounting book value. Enterprise value stands at 4.58 B. Intrinsic value is an estimate of what SPDR SAMPP's fundamentals imply, and it may differ from market and book figures. Analytical frameworks help compare those viewpoints.
The concept of value for SPDR SAMPP differs from its quoted price, since each reflects a different lens. For SPDR SAMPP, key inputs include a P/E ratio of 3.57, a P/B ratio of 2.76, ROE of 59.72%, and revenue of 67.34 M. Market price reflects the current exchange level formed by active bids and offers.