STRATS SM Stock Forecast - Simple Regression
| GJT Stock | USD 23.21 0.08 0.34% |
The Simple Regression forecasted value of STRATS SM Trust on the next trading day is expected to be 23.29 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.98. STRATS Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of STRATS SM's share price is below 20 . This usually indicates that the stock 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 STRATS SM hype-based prediction, you can estimate the value of STRATS SM Trust from the perspective of STRATS SM response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of STRATS SM Trust on the next trading day is expected to be 23.29 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.98. STRATS SM after-hype prediction price | USD 23.21 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of STRATS SM to cross-verify your projections. STRATS SM Additional Predictive Modules
Most predictive techniques to examine STRATS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for STRATS using various technical indicators. When you analyze STRATS 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 |
STRATS SM Simple Regression Price Forecast For the 25th of January
Given 90 days horizon, the Simple Regression forecasted value of STRATS SM Trust on the next trading day is expected to be 23.29 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.98.Please note that although there have been many attempts to predict STRATS Stock 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 STRATS SM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
STRATS SM Stock Forecast Pattern
| Backtest STRATS SM | STRATS SM Price Prediction | Buy or Sell Advice |
STRATS SM Forecasted Value
In the context of forecasting STRATS SM's Stock 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. STRATS SM's downside and upside margins for the forecasting period are 22.56 and 24.01, respectively. We have considered STRATS SM'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 Regression forecasting method's relative quality and the estimations of the prediction error of STRATS SM stock data series using in forecasting. Note that when a statistical model is used to represent STRATS SM 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 | 114.5908 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1472 |
| MAPE | Mean absolute percentage error | 0.0064 |
| SAE | Sum of the absolute errors | 8.981 |
Predictive Modules for STRATS SM
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as STRATS SM Trust. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.STRATS SM After-Hype Price Prediction Density Analysis
As far as predicting the price of STRATS SM 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 STRATS SM 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 Stock prices, such as prices of STRATS SM, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
STRATS SM Estimiated After-Hype Price Volatility
In the context of predicting STRATS SM's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on STRATS SM's historical news coverage. STRATS SM's after-hype downside and upside margins for the prediction period are 22.48 and 23.94, respectively. We have considered STRATS SM'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
STRATS SM is very steady at this time. Analysis and calculation of next after-hype price of STRATS SM Trust is based on 3 months time horizon.
STRATS SM Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as STRATS SM is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading STRATS SM 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 STRATS SM, 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 |
0.05 | 0.73 | 0.00 | 0.00 | 2 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
23.21 | 23.21 | 0.00 |
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STRATS SM Hype Timeline
On the 24th of January STRATS SM Trust is traded for 23.21. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. STRATS is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.05%. %. The volatility of related hype on STRATS SM is about 1738.1%, with the expected price after the next announcement by competition of 23.21. The company last dividend was issued on the 2nd of January 2026. Considering the 90-day investment horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of STRATS SM to cross-verify your projections.STRATS SM Related Hype Analysis
Having access to credible news sources related to STRATS SM's direct competition is more important than ever and may enhance your ability to predict STRATS SM's future price movements. Getting to know how STRATS SM'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 STRATS SM may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GJS | STRATSSM Certificates series | (0.02) | 3 per month | 0.91 | (0.04) | 1.28 | (2.03) | 3.94 | |
| GJR | Strats SM Trust | 0.00 | 6 per month | 0.46 | (0.09) | 0.85 | (1.00) | 3.08 | |
| GJP | STRATS SM Trust | 0.00 | 1 per month | 0.00 | (0.14) | 0.85 | (1.33) | 2.84 | |
| GJO | Strats SM Trust | 0.06 | 1 per month | 0.56 | (0.09) | 1.18 | (1.20) | 2.86 | |
| GJH | Strats Trust Cellular | (0.25) | 3 per month | 1.51 | (0.02) | 3.34 | (3.27) | 7.02 |
Other Forecasting Options for STRATS SM
For every potential investor in STRATS, whether a beginner or expert, STRATS SM's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. STRATS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in STRATS. Basic forecasting techniques help filter out the noise by identifying STRATS SM's price trends.STRATS SM 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 STRATS SM stock to make a market-neutral strategy. Peer analysis of STRATS SM could also be used in its relative valuation, which is a method of valuing STRATS SM by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
STRATS SM Market Strength Events
Market strength indicators help investors to evaluate how STRATS SM stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading STRATS SM shares will generate the highest return on investment. By undertsting and applying STRATS SM stock market strength indicators, traders can identify STRATS SM Trust entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 23.21 | |||
| Day Typical Price | 23.21 | |||
| Price Action Indicator | (0.04) | |||
| Period Momentum Indicator | (0.08) |
STRATS SM Risk Indicators
The analysis of STRATS SM'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 STRATS SM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting strats stock 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 | 0.5043 | |||
| Semi Deviation | 0.5388 | |||
| Standard Deviation | 0.7133 | |||
| Variance | 0.5088 | |||
| Downside Variance | 0.7169 | |||
| Semi Variance | 0.2903 | |||
| Expected Short fall | (0.80) |
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 STRATS SM
The number of cover stories for STRATS SM depends on current market conditions and STRATS SM's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that STRATS SM 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 STRATS SM'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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Additional Tools for STRATS Stock Analysis
When running STRATS SM's price analysis, check to measure STRATS SM's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy STRATS SM is operating at the current time. Most of STRATS SM's value examination focuses on studying past and present price action to predict the probability of STRATS SM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move STRATS SM's price. Additionally, you may evaluate how the addition of STRATS SM to your portfolios can decrease your overall portfolio volatility.