SPDR SSGA Etf Forecast - Simple Moving Average
| SMLV Etf | USD 140.69 0.30 0.21% |
The Simple Moving Average forecasted value of SPDR SSGA Small on the next trading day is expected to be 140.69 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 60.24. SPDR Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of SPDR SSGA's share price is below 20 . This usually implies that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using SPDR SSGA hype-based prediction, you can estimate the value of SPDR SSGA Small from the perspective of SPDR SSGA response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards SPDR SSGA using SPDR SSGA's stock options and short interest. It helps to benchmark the overall future attitude of investors towards SPDR using crowd psychology based on the activity and movement of SPDR SSGA's stock price.
SPDR SSGA Implied Volatility | 0.18 |
SPDR SSGA's implied volatility exposes the market's sentiment of SPDR SSGA Small stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if SPDR SSGA's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that SPDR SSGA stock will not fluctuate a lot when SPDR SSGA's options are near their expiration.
The Simple Moving Average forecasted value of SPDR SSGA Small on the next trading day is expected to be 140.69 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 60.24. SPDR SSGA after-hype prediction price | USD 140.73 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of SPDR SSGA to cross-verify your projections. Prediction based on Rule 16 of the current SPDR contract
Based on the Rule 16, the options market is currently suggesting that SPDR SSGA Small will have an average daily up or down price movement of about 0.0113% per day over the life of the 2026-04-17 option contract. With SPDR SSGA trading at USD 140.69, that is roughly USD 0.0158 . If you think that the market is fully incorporating SPDR SSGA's daily price movement you should consider acquiring SPDR SSGA Small options at the current volatility level of 0.18%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 SPDR Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast SPDR SSGA's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in SPDR SSGA's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SPDR SSGA stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SPDR SSGA's open interest, investors have to compare it to SPDR SSGA's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of SPDR SSGA is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SPDR. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
SPDR SSGA 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 SSGA Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of SPDR SSGA Small on the next trading day is expected to be 140.69 with a mean absolute deviation of 1.02, mean absolute percentage error of 1.86, and the sum of the absolute errors of 60.24.Please note that although there have been many attempts to predict SPDR Etf prices using its time series forecasting, we generally do not recommend 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 SSGA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SPDR SSGA Etf Forecast Pattern
| Backtest SPDR SSGA | SPDR SSGA Price Prediction | Buy or Sell Advice |
SPDR SSGA Forecasted Value
In the context of forecasting SPDR SSGA's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SPDR SSGA's downside and upside margins for the forecasting period are 139.78 and 141.60, respectively. We have considered SPDR SSGA's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 SPDR SSGA etf data series using in forecasting. Note that when a statistical model is used to represent SPDR SSGA 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 | 115.0551 |
| Bias | Arithmetic mean of the errors | -0.3203 |
| MAD | Mean absolute deviation | 1.021 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 60.24 |
Predictive Modules for SPDR SSGA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPDR SSGA Small. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.SPDR SSGA After-Hype Price Prediction Density Analysis
As far as predicting the price of SPDR SSGA at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in SPDR SSGA or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of SPDR SSGA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SPDR SSGA Estimiated After-Hype Price Volatility
In the context of predicting SPDR SSGA's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SPDR SSGA's historical news coverage. SPDR SSGA's after-hype downside and upside margins for the prediction period are 139.81 and 141.65, respectively. We have considered SPDR SSGA's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
SPDR SSGA is very steady at this time. Analysis and calculation of next after-hype price of SPDR SSGA Small is based on 3 months time horizon.
SPDR SSGA Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as SPDR SSGA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SPDR SSGA 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 SSGA, 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 |
0.15 | 0.91 | 0.04 | 0.02 | 2 Events / Month | 3 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
140.69 | 140.73 | 0.03 |
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SPDR SSGA Hype Timeline
SPDR SSGA Small is at this time traded for 140.69. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of -0.02. SPDR is expected to increase in value after the next headline, with the price projected to jump to 140.73 or above. The average volatility of media hype impact on the company the price is over 100%. The price increase on the next news is projected to be 0.03%, whereas the daily expected return is at this time at 0.15%. The volatility of related hype on SPDR SSGA is about 784.48%, with the expected price after the next announcement by competition of 140.67. Given the investment horizon of 90 days the next expected press release will be in a few days. Check out Historical Fundamental Analysis of SPDR SSGA to cross-verify your projections.SPDR SSGA Related Hype Analysis
Having access to credible news sources related to SPDR SSGA's direct competition is more important than ever and may enhance your ability to predict SPDR SSGA's future price movements. Getting to know how SPDR SSGA's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how SPDR SSGA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FDEV | Fidelity International Multifactor | 0.08 | 3 per month | 0.39 | 0.03 | 1.07 | (1.04) | 2.58 | |
| EWZS | iShares MSCI Brazil | (0.02) | 1 per month | 1.89 | 0.05 | 2.72 | (2.39) | 11.14 | |
| AVXC | Avantis Emerging Markets | (0.1) | 1 per month | 0.56 | 0.11 | 1.32 | (1.15) | 3.25 | |
| EPU | iShares MSCI Peru | 0.86 | 2 per month | 1.24 | 0.25 | 2.50 | (2.85) | 5.78 | |
| FNK | First Trust Mid | (0.47) | 3 per month | 0.59 | 0.05 | 2.17 | (1.11) | 4.13 | |
| QVMS | Invesco Exchange Traded | (0.09) | 2 per month | 0.75 | 0.06 | 2.11 | (1.39) | 4.47 | |
| HEEM | iShares Currency Hedged | (0.72) | 3 per month | 0.37 | 0.11 | 1.37 | (1.05) | 3.77 | |
| XES | SPDR SP Oil | (0.90) | 2 per month | 1.47 | 0.19 | 3.70 | (3.31) | 10.85 | |
| GVLU | Tidal ETF Trust | (0.04) | 2 per month | 0.53 | 0.05 | 1.60 | (1.02) | 3.46 | |
| SIXL | 6 Meridian Low | 0.24 | 2 per month | 0.53 | (0.07) | 1.07 | (0.78) | 3.40 |
Other Forecasting Options for SPDR SSGA
For every potential investor in SPDR, whether a beginner or expert, SPDR SSGA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SPDR Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SPDR. Basic forecasting techniques help filter out the noise by identifying SPDR SSGA's price trends.SPDR SSGA Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SPDR SSGA etf to make a market-neutral strategy. Peer analysis of SPDR SSGA could also be used in its relative valuation, which is a method of valuing SPDR SSGA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SPDR SSGA Market Strength Events
Market strength indicators help investors to evaluate how SPDR SSGA etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SPDR SSGA shares will generate the highest return on investment. By undertsting and applying SPDR SSGA etf market strength indicators, traders can identify SPDR SSGA Small entry and exit signals to maximize returns.
SPDR SSGA Risk Indicators
The analysis of SPDR SSGA's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SPDR SSGA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting spdr etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.6526 | |||
| Semi Deviation | 0.4545 | |||
| Standard Deviation | 0.9017 | |||
| Variance | 0.813 | |||
| Downside Variance | 0.4572 | |||
| Semi Variance | 0.2066 | |||
| Expected Short fall | (0.81) |
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 SSGA
The number of cover stories for SPDR SSGA depends on current market conditions and SPDR SSGA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SPDR SSGA is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about SPDR SSGA's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of SPDR SSGA to cross-verify your projections. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
The market value of SPDR SSGA Small is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR SSGA's value that differs from its market value or its book value, called intrinsic value, which is SPDR SSGA's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SPDR SSGA's market value can be influenced by many factors that don't directly affect SPDR SSGA's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SPDR SSGA's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR SSGA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR SSGA's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.