Samsung Electronics Stock Forward View - Triple Exponential Smoothing
| SSUN Stock | 1,888 -106.00 -5.32% |
Momentum
Impartial
Oversold | Overbought |
This section frames Samsung Electronics Co response to recent headlines in a peer context.
The Triple Exponential Smoothing forecasted value of Samsung Electronics Co on the next trading day is expected to be 1,888 with a mean absolute deviation of 54.93 and the sum of the absolute errors of 3,296.Samsung Electronics after-hype prediction price | € 1815.02 |
This view helps relate attention signals to forecasting and technical indicators plus earnings context.
Samsung |
Samsung Electronics Additional Predictive Modules
Most predictive techniques to examine Samsung price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Samsung using various technical indicators. When you analyze Samsung 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 |
Triple Exponential Smoothing Price Forecast For the 14th of March 2026
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Samsung Electronics Co on the next trading day is expected to be 1,888 with a mean absolute deviation of 54.93 , mean absolute percentage error of 5,436 , and the sum of the absolute errors of 3,296 .Please note that although there have been many attempts to predict Samsung Stock 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 Samsung Electronics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Samsung Electronics | Samsung Electronics Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Samsung Electronics Co 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Samsung Electronics stock data series using in forecasting. Note that when a statistical model is used to represent Samsung Electronics stock, 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 | Huge |
| Bias | Arithmetic mean of the errors | -7.9213 |
| MAD | Mean absolute deviation | 54.928 |
| MAPE | Mean absolute percentage error | 0.0334 |
| SAE | Sum of the absolute errors | 3295.682 |
The degree to which Samsung Electronics' exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
After-Hype Price Density Analysis
The after-hype price distribution for Samsung Electronics helps investors understand how much of Samsung Electronics' predicted return comes from the central scenario versus tail outcomes. Strategies that rely on tail events for Samsung Electronics are inherently more speculative.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical news patterns for Samsung Electronics reveal how the market has historically digested different types of information about Samsung Electronics' business and market environment. Samsung Electronics' after-hype downside and upside margins for the prediction period are 1,811 and 2,077, respectively. The model extrapolates these patterns to estimate likely price boundaries following the next significant.
Current Value
The after-hype framework applied to Samsung Electronics Co 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.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Samsung Electronics is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Samsung Electronics 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 Stock 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 Samsung Electronics, 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 |
0.89 | 4.01 | 72.98 | 0.45 | 4 Events | 1 Events | In 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1,888 | 1,815 | 3.87 |
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Hype Timeline
Samsung Electronics is at this time traded for 1,888on Stuttgart Exchange of Germany. The company has historical hype elasticity of -72.98, and average elasticity to hype of competition of 0.45. Samsung is anticipated to decline in value after the next headline, with the price expected to drop to 1815.02. The average volatility of media hype impact on the company price is about 4.89%. The price decline on the next news is expected to be -3.87%, whereas the daily expected return is at this time at 0.89%. The volatility of related hype on Samsung Electronics is about 802.0%, with the expected price after the next announcement by competition of 1,888. The company has Price/Earnings To Growth (PEG) ratio of 0.15. Samsung Electronics had not issued any dividends in recent years. Assuming the 90-day trading horizon the next anticipated press release will be in 4 days. Historical Fundamental Analysis of Samsung Electronics provides a cross-check on projections for Samsung Electronics. The analysis adds historical context for the projection set.Related Hype Analysis
Peer hype analysis helps investors build a more complete picture of Samsung Electronics' competitive environment by quantifying the market's sensitivity to news across all major players in Samsung Electronics's sector.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 02M1 | Raffles Medical Group | 0.00 | 4 per month | 1.65 | 0.08 | 2.99 | -1.56 | 25.40 | |
| I43 | Jacquet Metal Service | 0.00 | 0 per month | 1.70 | 0.17 | 5.75 | -2.85 | 11.57 | |
| J6H | Step One Clothing | -0.02 | 2 per month | 0.00 | -0.12 | 7.14 | -11.11 | 42.31 | |
| COP | Compugroup Medical SE | 0.68 | 2 per month | 0.88 | 0.16 | 2.49 | -1.92 | 6.41 | |
| AQA | Advanced Medical Solutions | 0.00 | 6 per month | 0.00 | -0.02 | 3.31 | -3.25 | 12.38 | |
| HAM | Harmony Gold Mining | 1.10 | 6 per month | 0.00 | -0.02 | 6.67 | -7.29 | 23.75 | |
| 2DR | Inspire Medical Systems | 1.74 | 9 per month | 0.00 | -0.25 | 5.04 | -9.40 | 21.83 |
Other Forecasting Options for Samsung Electronics
The price trajectory of Samsung is the primary concern for any investor assessing it as an opportunity. Samsung Stock price charts are filled with noise that can easily mislead uninformed investment decisions.Samsung Electronics Related Equities
The following equities are related to Samsung Electronics and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Samsung Electronics 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 |
Samsung Electronics Market Strength Events
Understanding the market strength of Samsung Electronics stock enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Samsung Electronics Co with greater precision.
Samsung Electronics Risk Indicators
Reviewing Samsung Electronics' basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding Samsung Electronics' and informs decisions about hedging and position.
| Mean Deviation | 2.9 | |||
| Semi Deviation | 3.31 | |||
| Standard Deviation | 3.86 | |||
| Variance | 14.92 | |||
| Downside Variance | 19.39 | |||
| Semi Variance | 10.95 | |||
| Expected Short fall | -3.10 |
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 Samsung Electronics
Coverage intensity for Samsung Electronics Co 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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Samsung Electronics Short Properties
Short sentiment tied to Samsung Electronics Co matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 6.7 B | |
| Dividends Paid | -9.9 T |
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