STKd 100 Etf Forecast - Simple Exponential Smoothing
| LAYS Etf | 55.07 2.12 4.00% |
The Simple Exponential Smoothing forecasted value of STKd 100 percent on the next trading day is expected to be 55.01 with a mean absolute deviation of 1.85 and the sum of the absolute errors of 111.10. STKd Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of STKd 100's share price is below 20 . This indicates 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 STKd 100 hype-based prediction, you can estimate the value of STKd 100 percent from the perspective of STKd 100 response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of STKd 100 percent on the next trading day is expected to be 55.01 with a mean absolute deviation of 1.85 and the sum of the absolute errors of 111.10. STKd 100 after-hype prediction price | USD 55.07 |
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 STKd 100 to cross-verify your projections. STKd 100 Additional Predictive Modules
Most predictive techniques to examine STKd price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for STKd using various technical indicators. When you analyze STKd 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 |
STKd 100 Simple Exponential Smoothing Price Forecast For the 26th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of STKd 100 percent on the next trading day is expected to be 55.01 with a mean absolute deviation of 1.85, mean absolute percentage error of 5.92, and the sum of the absolute errors of 111.10.Please note that although there have been many attempts to predict STKd 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 STKd 100's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
STKd 100 Etf Forecast Pattern
| Backtest STKd 100 | STKd 100 Price Prediction | Buy or Sell Advice |
STKd 100 Forecasted Value
In the context of forecasting STKd 100'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. STKd 100's downside and upside margins for the forecasting period are 50.10 and 59.91, respectively. We have considered STKd 100'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of STKd 100 etf data series using in forecasting. Note that when a statistical model is used to represent STKd 100 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 | 118.0517 |
| Bias | Arithmetic mean of the errors | 0.153 |
| MAD | Mean absolute deviation | 1.8517 |
| MAPE | Mean absolute percentage error | 0.0376 |
| SAE | Sum of the absolute errors | 111.1028 |
Predictive Modules for STKd 100
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as STKd 100 percent. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of STKd 100's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
STKd 100 After-Hype Price Prediction Density Analysis
As far as predicting the price of STKd 100 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 STKd 100 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 STKd 100, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
STKd 100 Estimiated After-Hype Price Volatility
In the context of predicting STKd 100's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on STKd 100's historical news coverage. STKd 100's after-hype downside and upside margins for the prediction period are 50.16 and 59.98, respectively. We have considered STKd 100'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
STKd 100 is very steady at this time. Analysis and calculation of next after-hype price of STKd 100 percent is based on 3 months time horizon.
STKd 100 Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as STKd 100 is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading STKd 100 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 STKd 100, 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 |
0.01 | 4.91 | 0.00 | 0.00 | 3 Events / Month | 3 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
55.07 | 55.07 | 0.00 |
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STKd 100 Hype Timeline
STKd 100 percent is now traded for 55.07. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. STKd is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is now at -0.01%. %. The volatility of related hype on STKd 100 is about 14441.18%, with the expected price after the next announcement by competition of 55.07. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of STKd 100 to cross-verify your projections.STKd 100 Related Hype Analysis
Having access to credible news sources related to STKd 100's direct competition is more important than ever and may enhance your ability to predict STKd 100's future price movements. Getting to know how STKd 100'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 STKd 100 may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HAUS | Tidal ETF Trust | (0.49) | 3 per month | 0.74 | (0.01) | 1.48 | (1.15) | 3.83 | |
| SLJY | Amplify ETF Trust | 0.49 | 3 per month | 2.11 | 0.20 | 5.09 | (4.16) | 9.52 | |
| SPCX | SPAC and New | 0.15 | 2 per month | 0.00 | (0.43) | 0.45 | (0.41) | 0.99 | |
| DIPS | YieldMax Short NVDA | 0.03 | 9 per month | 2.07 | (0.02) | 2.86 | (3.11) | 7.49 | |
| JHDV | John Hancock Exchange | 0.00 | 0 per month | 0.80 | (0.03) | 0.99 | (1.28) | 3.02 | |
| GIND | Goldman Sachs India | (0.02) | 1 per month | 0.00 | (0.30) | 0.86 | (1.28) | 4.14 | |
| BGRO | BlackRock Large Cap | (0.28) | 2 per month | 1.36 | (0.06) | 1.82 | (2.22) | 5.38 | |
| FLJJ | AIM ETF Products | 0.00 | 0 per month | 0.14 | (0.18) | 0.38 | (0.35) | 1.48 | |
| WEED | Roundhill Cannabis ETF | 0.09 | 6 per month | 6.42 | 0.03 | 11.64 | (8.70) | 82.53 | |
| BUYZ | Franklin Disruptive Commerce | (0.31) | 1 per month | 0.00 | (0.16) | 1.94 | (2.79) | 5.72 |
Other Forecasting Options for STKd 100
For every potential investor in STKd, whether a beginner or expert, STKd 100's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. STKd Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in STKd. Basic forecasting techniques help filter out the noise by identifying STKd 100's price trends.STKd 100 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 STKd 100 etf to make a market-neutral strategy. Peer analysis of STKd 100 could also be used in its relative valuation, which is a method of valuing STKd 100 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
STKd 100 Market Strength Events
Market strength indicators help investors to evaluate how STKd 100 etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading STKd 100 shares will generate the highest return on investment. By undertsting and applying STKd 100 etf market strength indicators, traders can identify STKd 100 percent entry and exit signals to maximize returns.
STKd 100 Risk Indicators
The analysis of STKd 100'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 STKd 100's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting stkd 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 | 3.78 | |||
| Semi Deviation | 4.66 | |||
| Standard Deviation | 5.0 | |||
| Variance | 24.96 | |||
| Downside Variance | 24.73 | |||
| Semi Variance | 21.72 | |||
| Expected Short fall | (3.96) |
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 STKd 100
The number of cover stories for STKd 100 depends on current market conditions and STKd 100's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that STKd 100 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 STKd 100'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 STKd 100 to cross-verify your projections. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
The market value of STKd 100 percent is measured differently than its book value, which is the value of STKd that is recorded on the company's balance sheet. Investors also form their own opinion of STKd 100's value that differs from its market value or its book value, called intrinsic value, which is STKd 100'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 STKd 100's market value can be influenced by many factors that don't directly affect STKd 100'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 STKd 100's value and its price as these two are different measures arrived at by different means. Investors typically determine if STKd 100 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, STKd 100'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.