SavvyLong MSFT Etf Forecast - 20 Period Moving Average
| MSFU Etf | 19.60 0.33 1.71% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using SavvyLong MSFT hype-based prediction, you can estimate the value of SavvyLong MSFT ETF from the perspective of SavvyLong MSFT response to recently generated media hype and the effects of current headlines on its competitors.
The 20 Period Moving Average forecasted value of SavvyLong MSFT ETF on the next trading day is expected to be 19.74 with a mean absolute deviation of 0.83 and the sum of the absolute errors of 34.81. SavvyLong MSFT after-hype prediction price | CAD 19.6 |
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.
SavvyLong |
SavvyLong MSFT Additional Predictive Modules
Most predictive techniques to examine SavvyLong price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SavvyLong using various technical indicators. When you analyze SavvyLong 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 |
SavvyLong MSFT 20 Period Moving Average Price Forecast For the 28th of January
Given 90 days horizon, the 20 Period Moving Average forecasted value of SavvyLong MSFT ETF on the next trading day is expected to be 19.74 with a mean absolute deviation of 0.83, mean absolute percentage error of 1.13, and the sum of the absolute errors of 34.81.Please note that although there have been many attempts to predict SavvyLong 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 SavvyLong MSFT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SavvyLong MSFT Etf Forecast Pattern
SavvyLong MSFT Forecasted Value
In the context of forecasting SavvyLong MSFT'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. SavvyLong MSFT's downside and upside margins for the forecasting period are 17.17 and 22.32, respectively. We have considered SavvyLong MSFT'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of SavvyLong MSFT etf data series using in forecasting. Note that when a statistical model is used to represent SavvyLong MSFT 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 | 83.3089 |
| Bias | Arithmetic mean of the errors | 0.8049 |
| MAD | Mean absolute deviation | 0.8288 |
| MAPE | Mean absolute percentage error | 0.0417 |
| SAE | Sum of the absolute errors | 34.8115 |
Predictive Modules for SavvyLong MSFT
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SavvyLong MSFT ETF. 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.SavvyLong MSFT Estimiated After-Hype Price Volatility
As far as predicting the price of SavvyLong MSFT 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 SavvyLong MSFT 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 SavvyLong MSFT, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SavvyLong MSFT Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as SavvyLong MSFT is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SavvyLong MSFT 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 SavvyLong MSFT, 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 |
0.51 | 2.58 | 0.61 | 4.81 | 4 Events / Month | 1 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
19.60 | 19.60 | 0.00 |
|
SavvyLong MSFT Hype Timeline
SavvyLong MSFT ETF is now traded for 19.60on Toronto Exchange of Canada. The entity has historical hype elasticity of -0.61, and average elasticity to hype of competition of 4.81. SavvyLong 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 over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is now at -0.51%. %. The volatility of related hype on SavvyLong MSFT is about 27.37%, with the expected price after the next announcement by competition of 24.41. Assuming the 90 days trading horizon the next estimated press release will be in about 4 days. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in employment.SavvyLong MSFT Related Hype Analysis
Having access to credible news sources related to SavvyLong MSFT's direct competition is more important than ever and may enhance your ability to predict SavvyLong MSFT's future price movements. Getting to know how SavvyLong MSFT'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 SavvyLong MSFT may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CCOU | SavvyLong Cameco ETF | 0.00 | 0 per month | 5.41 | 0.15 | 8.93 | (9.81) | 59.89 | |
| COMU | SavvyLong 2X CIBC | (1.69) | 1 per month | 0.91 | 0.12 | 3.39 | (0.93) | 15.18 | |
| AMZU | SavvyLong AMZN ETF | (0.60) | 2 per month | 3.33 | 0.04 | 5.62 | (5.16) | 28.42 | |
| TSLU | SavvyLong TSLA ETF | 0.00 | 0 per month | 0.00 | (0.02) | 8.02 | (9.72) | 24.83 | |
| CSUU | SavvyLong Constellation Software | (1.16) | 1 per month | 0.00 | (0.22) | 5.71 | (6.96) | 23.05 | |
| MSFU | SavvyLong MSFT ETF | (1.19) | 4 per month | 0.00 | (0.17) | 2.89 | (5.10) | 10.04 | |
| CNQU | SavvyLong Cdn Natural | 89.45 | 10 per month | 3.81 | 0.10 | 7.30 | (7.94) | 18.48 | |
| CLUP | SavvyLong Geared Crude | 0.00 | 0 per month | 2.89 | (0) | 5.90 | (4.67) | 16.35 | |
| OILU | SavvyLong Geared Crude | 0.02 | 1 per month | 2.89 | (0) | 5.90 | (4.67) | 16.35 |
Other Forecasting Options for SavvyLong MSFT
For every potential investor in SavvyLong, whether a beginner or expert, SavvyLong MSFT's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SavvyLong Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SavvyLong. Basic forecasting techniques help filter out the noise by identifying SavvyLong MSFT's price trends.SavvyLong MSFT 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 SavvyLong MSFT etf to make a market-neutral strategy. Peer analysis of SavvyLong MSFT could also be used in its relative valuation, which is a method of valuing SavvyLong MSFT by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SavvyLong MSFT Market Strength Events
Market strength indicators help investors to evaluate how SavvyLong MSFT etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SavvyLong MSFT shares will generate the highest return on investment. By undertsting and applying SavvyLong MSFT etf market strength indicators, traders can identify SavvyLong MSFT ETF entry and exit signals to maximize returns.
SavvyLong MSFT Risk Indicators
The analysis of SavvyLong MSFT'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 SavvyLong MSFT's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting savvylong 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 | 2.02 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.53 |
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 SavvyLong MSFT
The number of cover stories for SavvyLong MSFT depends on current market conditions and SavvyLong MSFT's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SavvyLong MSFT 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 SavvyLong MSFT's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios