AMS Small Index Forward View - Triple Exponential Smoothing

ASCX Index   1,655  0.79  0.05%   
The Triple Exponential Smoothing forecasted value of AMS Small Cap on the next trading day is expected to be 1,658 with a mean absolute deviation of 9.79 and the sum of the absolute errors of 587.36. Investors can use prediction functions to forecast AMS Small's index prices and determine the direction of AMS Small Cap's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. The RSI of AMS Small's index price is about 63. This suggests that the index is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling AMS, making its price go up or down.

Momentum 63

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of AMS Small's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with AMS Small Cap, which may create opportunities for some arbitrage if properly timed.
Using AMS Small hype-based prediction, you can estimate the value of AMS Small Cap from the perspective of AMS Small response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of AMS Small Cap on the next trading day is expected to be 1,658 with a mean absolute deviation of 9.79 and the sum of the absolute errors of 587.36.

AMS Small after-hype prediction price

    
  EUR 1654.72  
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 index price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in inflation.

AMS Small Additional Predictive Modules

Most predictive techniques to examine AMS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AMS using various technical indicators. When you analyze AMS 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.
Triple exponential smoothing for AMS Small - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When AMS Small prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in AMS Small price movement. However, neither of these exponential smoothing models address any seasonality of AMS Small Cap.

AMS Small Triple Exponential Smoothing Price Forecast For the 31st of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of AMS Small Cap on the next trading day is expected to be 1,658 with a mean absolute deviation of 9.79, mean absolute percentage error of 154.17, and the sum of the absolute errors of 587.36.
Please note that although there have been many attempts to predict AMS Index 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 AMS Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AMS Small Index Forecast Pattern

AMS Small Forecasted Value

In the context of forecasting AMS Small's Index 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. AMS Small's downside and upside margins for the forecasting period are 1,657 and 1,659, respectively. We have considered AMS Small'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.
Market Value
1,655
1,658
Expected Value
1,659
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AMS Small index data series using in forecasting. Note that when a statistical model is used to represent AMS Small index, 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 CriteriaHuge
BiasArithmetic mean of the errors -1.853
MADMean absolute deviation9.7894
MAPEMean absolute percentage error0.0062
SAESum of the absolute errors587.3635
As with simple exponential smoothing, in triple exponential smoothing models past AMS Small observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older AMS Small Cap observations.

Predictive Modules for AMS Small

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AMS Small Cap. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.

AMS Small Estimiated After-Hype Price Volatility

As far as predicting the price of AMS Small 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 AMS Small 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 Index prices, such as prices of AMS Small, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

AMS Small Index Price Outlook Analysis

Have you ever been surprised when a price of a Index such as AMS Small is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AMS Small 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 Index 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 AMS Small, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.14 
0.77
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
1,655
1,655
0.00 
0.00  
Notes

AMS Small Hype Timeline

AMS Small Cap is presently traded for 1,655on INDX of Netherlands. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. AMS 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 presently at 0.14%. %. The volatility of related hype on AMS Small is about 0.0%, with the expected price after the next announcement by competition of 1,655. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in inflation.

AMS Small Related Hype Analysis

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

Other Forecasting Options for AMS Small

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

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

AMS Small Market Strength Events

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

AMS Small Risk Indicators

The analysis of AMS Small'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 AMS Small's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ams index 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 AMS Small

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