Telecommunications Mutual Fund Forecast - Simple Exponential Smoothing

RYTLX Fund  USD 61.18  0.22  0.36%   
The Simple Exponential Smoothing forecasted value of Telecommunications Fund Class on the next trading day is expected to be 61.18 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.40. Telecommunications Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Telecommunications' share price is below 20 indicating that the mutual fund 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
The successful prediction of Telecommunications' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Telecommunications Fund Class, which may create opportunities for some arbitrage if properly timed.
Using Telecommunications hype-based prediction, you can estimate the value of Telecommunications Fund Class from the perspective of Telecommunications response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Telecommunications Fund Class on the next trading day is expected to be 61.18 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.40.

Telecommunications after-hype prediction price

    
  USD 61.23  
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 Telecommunications to cross-verify your projections.

Telecommunications Additional Predictive Modules

Most predictive techniques to examine Telecommunications price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Telecommunications using various technical indicators. When you analyze Telecommunications 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.
Telecommunications 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 Telecommunications Fund Class are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Telecommunications prices get older.

Telecommunications Simple Exponential Smoothing Price Forecast For the 24th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Telecommunications Fund Class on the next trading day is expected to be 61.18 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.38, and the sum of the absolute errors of 29.40.
Please note that although there have been many attempts to predict Telecommunications Mutual Fund 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 Telecommunications' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Telecommunications Mutual Fund Forecast Pattern

Backtest TelecommunicationsTelecommunications Price PredictionBuy or Sell Advice 

Telecommunications Forecasted Value

In the context of forecasting Telecommunications' 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. Telecommunications' downside and upside margins for the forecasting period are 60.15 and 62.21, respectively. We have considered Telecommunications' 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
61.18
61.18
Expected Value
62.21
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 Telecommunications mutual fund data series using in forecasting. Note that when a statistical model is used to represent Telecommunications 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 Criteria115.2934
BiasArithmetic mean of the errors -0.0413
MADMean absolute deviation0.49
MAPEMean absolute percentage error0.0084
SAESum of the absolute errors29.4
This simple exponential smoothing model begins by setting Telecommunications Fund Class forecast for the second period equal to the observation of the first period. In other words, recent Telecommunications observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Telecommunications

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telecommunications. 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.
Hype
Prediction
LowEstimatedHigh
60.2061.2362.26
Details
Intrinsic
Valuation
LowRealHigh
59.3860.4161.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
57.9760.2362.50
Details

Telecommunications After-Hype Price Prediction Density Analysis

As far as predicting the price of Telecommunications 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 Telecommunications 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 Telecommunications, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Telecommunications Estimiated After-Hype Price Volatility

In the context of predicting Telecommunications' mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Telecommunications' historical news coverage. Telecommunications' after-hype downside and upside margins for the prediction period are 60.20 and 62.26, respectively. We have considered Telecommunications' 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
61.18
61.23
After-hype Price
62.26
Upside
Telecommunications is very steady at this time. Analysis and calculation of next after-hype price of Telecommunications is based on 3 months time horizon.

Telecommunications Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Telecommunications is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Telecommunications 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 Telecommunications, 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 
1.03
  0.05 
  0.09 
1 Events / Month
1 Events / Month
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
61.18
61.23
0.08 
113.19  
Notes

Telecommunications Hype Timeline

Telecommunications is at this time traded for 61.18. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of 0.09. Telecommunications is expected to increase in value after the next headline, with the price projected to jump to 61.23 or above. The average volatility of media hype impact on the company the price is about 113.19%. The price jump on the next news is projected to be 0.08%, whereas the daily expected return is at this time at 0.05%. The volatility of related hype on Telecommunications is about 54.62%, with the expected price after the next announcement by competition of 61.27. Assuming the 90 days horizon the next expected press release will be very soon.
Check out Historical Fundamental Analysis of Telecommunications to cross-verify your projections.

Telecommunications Related Hype Analysis

Having access to credible news sources related to Telecommunications' direct competition is more important than ever and may enhance your ability to predict Telecommunications' future price movements. Getting to know how Telecommunications' 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 Telecommunications may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Telecommunications

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

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

Telecommunications Market Strength Events

Market strength indicators help investors to evaluate how Telecommunications 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 Telecommunications shares will generate the highest return on investment. By undertsting and applying Telecommunications mutual fund market strength indicators, traders can identify Telecommunications Fund Class entry and exit signals to maximize returns.

Telecommunications Risk Indicators

The analysis of Telecommunications' 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 Telecommunications' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting telecommunications 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 Telecommunications

The number of cover stories for Telecommunications depends on current market conditions and Telecommunications' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Telecommunications 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 Telecommunications' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Telecommunications Mutual Fund

Telecommunications financial ratios help investors to determine whether Telecommunications 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 Telecommunications with respect to the benefits of owning Telecommunications security.
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