Spectrum Advisors Mutual Fund Forward View - Simple Exponential Smoothing

SAPEX Fund  USD 19.72  0.01  0.05%   
Spectrum Mutual Fund outlook is based on your current time horizon.
At this time, The relative strength index (RSI) of Spectrum Advisors' share price is at 52. This usually implies that the mutual fund is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Spectrum Advisors, making its price go up or down.

Momentum 52

 Impartial

 
Oversold
 
Overbought
The successful prediction of Spectrum Advisors' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Spectrum Advisors Preferred, which may create opportunities for some arbitrage if properly timed.
Using Spectrum Advisors hype-based prediction, you can estimate the value of Spectrum Advisors Preferred from the perspective of Spectrum Advisors response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Spectrum Advisors Preferred on the next trading day is expected to be 19.72 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.13.

Spectrum Advisors after-hype prediction price

    
  USD 0.0  
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Spectrum Advisors to cross-verify your projections.

Spectrum Advisors Additional Predictive Modules

Most predictive techniques to examine Spectrum price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Spectrum using various technical indicators. When you analyze Spectrum 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.
Spectrum Advisors simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Spectrum Advisors Preferred are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Spectrum Advisors prices get older.

Spectrum Advisors Simple Exponential Smoothing Price Forecast For the 3rd of February

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Spectrum Advisors Preferred on the next trading day is expected to be 19.72 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.13.
Please note that although there have been many attempts to predict Spectrum Mutual Fund 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 Spectrum Advisors' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Spectrum Advisors Mutual Fund Forecast Pattern

Backtest Spectrum Advisors  Spectrum Advisors Price Prediction  Research Analysis  

Spectrum Advisors Forecasted Value

In the context of forecasting Spectrum Advisors' Mutual Fund 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. Spectrum Advisors' downside and upside margins for the forecasting period are 19.14 and 20.30, respectively. We have considered Spectrum Advisors' 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.
Market Value
19.72
19.72
Expected Value
20.30
Upside

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 Spectrum Advisors mutual fund data series using in forecasting. Note that when a statistical model is used to represent Spectrum Advisors mutual fund, 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.
AICAkaike Information Criteria111.9139
BiasArithmetic mean of the errors -0.0098
MADMean absolute deviation0.0855
MAPEMean absolute percentage error0.0044
SAESum of the absolute errors5.13
This simple exponential smoothing model begins by setting Spectrum Advisors Preferred forecast for the second period equal to the observation of the first period. In other words, recent Spectrum Advisors observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Spectrum Advisors

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Spectrum Advisors. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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 Spectrum Advisors' 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.
Hype
Prediction
LowEstimatedHigh
0.000.000.60
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.4919.7820.06
Details

Spectrum Advisors After-Hype Price Density Analysis

As far as predicting the price of Spectrum Advisors 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 Spectrum Advisors 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 Mutual Fund prices, such as prices of Spectrum Advisors, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Spectrum Advisors Estimiated After-Hype Price Volatility

In the context of predicting Spectrum Advisors' mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Spectrum Advisors' historical news coverage. Spectrum Advisors' after-hype downside and upside margins for the prediction period are 0.00 and 0.60, respectively. We have considered Spectrum Advisors' 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
19.72
0.00
After-hype Price
0.60
Upside
Spectrum Advisors is out of control at this time. Analysis and calculation of next after-hype price of Spectrum Advisors is based on 3 months time horizon.

Spectrum Advisors Mutual Fund Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as Spectrum Advisors is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Spectrum Advisors 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 Fund 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 Spectrum Advisors, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.05 
0.58
  8.09 
  1.74 
4 Events / Month
1 Events / Month
In about 4 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
19.72
0.00
0.00 
0.36  
Notes

Spectrum Advisors Hype Timeline

Spectrum Advisors is at this time traded for 19.72. The entity has historical hype elasticity of 8.09, and average elasticity to hype of competition of 1.74. Spectrum 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 about 0.36%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.05%. %. The volatility of related hype on Spectrum Advisors is about 1.67%, with the expected price after the next announcement by competition of 21.46. The company last dividend was issued on the 15th of April 2020. Assuming the 90 days horizon the next forecasted press release will be in about 4 days.
Check out Historical Fundamental Analysis of Spectrum Advisors to cross-verify your projections.

Spectrum Advisors Related Hype Analysis

Having access to credible news sources related to Spectrum Advisors' direct competition is more important than ever and may enhance your ability to predict Spectrum Advisors' future price movements. Getting to know how Spectrum Advisors' 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 Spectrum Advisors may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
SRUAXSpectrum Fund Adviser(5.88)2 per month 0.55  0.11  1.20 (1.31) 6.13 
SRUIXSpectrum Fund Institutional(13.70)4 per month 0.54  0.11  1.21 (1.24) 6.04 
SAPEXSpectrum Advisors Preferred 161.73 4 per month 0.59 (0.01) 1.01 (0.93) 3.02 
JHSIXSpectrum Income Fund 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
JHSRXSpectrum Income Fund 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
RPSIXSpectrum Income Fund 9.53 7 per month 0.00 (0.23) 0.18 (0.18) 0.79 
SUNBXSpectrum Unconstrained 161.60 1 per month 0.12  0.02  0.41 (0.31) 1.51 
SVARXSpectrum Low Volatility(0.06)7 per month 0.00 (0.06) 0.26 (0.21) 1.10 
PRSGXSpectrum Growth Fund 0.00 0 per month 0.72 (0.04) 1.21 (1.09) 3.29 

Other Forecasting Options for Spectrum Advisors

For every potential investor in Spectrum, whether a beginner or expert, Spectrum Advisors' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Spectrum Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Spectrum. Basic forecasting techniques help filter out the noise by identifying Spectrum Advisors' price trends.

Spectrum Advisors 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 Spectrum Advisors mutual fund to make a market-neutral strategy. Peer analysis of Spectrum Advisors could also be used in its relative valuation, which is a method of valuing Spectrum Advisors by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Spectrum Advisors Market Strength Events

Market strength indicators help investors to evaluate how Spectrum Advisors mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Spectrum Advisors shares will generate the highest return on investment. By undertsting and applying Spectrum Advisors mutual fund market strength indicators, traders can identify Spectrum Advisors Preferred entry and exit signals to maximize returns.

Spectrum Advisors Risk Indicators

The analysis of Spectrum Advisors' 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 Spectrum Advisors' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting spectrum mutual fund 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.
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 Spectrum Advisors

The number of cover stories for Spectrum Advisors depends on current market conditions and Spectrum Advisors' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Spectrum Advisors 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 Spectrum Advisors' 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

Other Information on Investing in Spectrum Mutual Fund

Spectrum Advisors financial ratios help investors to determine whether Spectrum Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Spectrum with respect to the benefits of owning Spectrum Advisors security.
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