HANetf ICAV Etf Forecast - Simple Exponential Smoothing

T3KE Etf  EUR 14.20  0.01  0.07%   
The Simple Exponential Smoothing forecasted value of HANetf ICAV on the next trading day is expected to be 14.20 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.53. HANetf Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of HANetf ICAV's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
HANetf ICAV 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 HANetf ICAV are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as HANetf ICAV prices get older.

HANetf ICAV Simple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of HANetf ICAV on the next trading day is expected to be 14.20 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.05, and the sum of the absolute errors of 9.53.
Please note that although there have been many attempts to predict HANetf 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 HANetf ICAV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HANetf ICAV Etf Forecast Pattern

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HANetf ICAV Forecasted Value

In the context of forecasting HANetf ICAV'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. HANetf ICAV's downside and upside margins for the forecasting period are 12.58 and 15.82, respectively. We have considered HANetf ICAV'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
14.20
14.20
Expected Value
15.82
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 HANetf ICAV etf data series using in forecasting. Note that when a statistical model is used to represent HANetf ICAV 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.
AICAkaike Information Criteria113.3086
BiasArithmetic mean of the errors -0.0345
MADMean absolute deviation0.1588
MAPEMean absolute percentage error0.0117
SAESum of the absolute errors9.53
This simple exponential smoothing model begins by setting HANetf ICAV forecast for the second period equal to the observation of the first period. In other words, recent HANetf ICAV observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for HANetf ICAV

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HANetf ICAV. 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 HANetf ICAV'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.
Hype
Prediction
LowEstimatedHigh
12.5814.2015.82
Details
Intrinsic
Valuation
LowRealHigh
13.6415.2616.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.1214.6015.08
Details

Other Forecasting Options for HANetf ICAV

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

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

HANetf ICAV Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of HANetf ICAV's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of HANetf ICAV's current price.

HANetf ICAV Market Strength Events

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

HANetf ICAV Risk Indicators

The analysis of HANetf ICAV'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 HANetf ICAV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hanetf 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.
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.

Currently Active Assets on Macroaxis

Other Information on Investing in HANetf Etf

HANetf ICAV financial ratios help investors to determine whether HANetf Etf 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 HANetf with respect to the benefits of owning HANetf ICAV security.