Lyxor DAX Etf Forecast - Simple Moving Average

DAXD Etf  CHF 84.26  1.07  1.29%   
The Simple Moving Average forecasted value of Lyxor DAX UCITS on the next trading day is expected to be 84.26 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 35.09. Lyxor Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of Lyxor DAX's share price is below 20 suggesting that the etf 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 Lyxor DAX's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Lyxor DAX and does not consider all of the tangible or intangible factors available from Lyxor DAX's fundamental data. We analyze noise-free headlines and recent hype associated with Lyxor DAX UCITS, which may create opportunities for some arbitrage if properly timed.
Using Lyxor DAX hype-based prediction, you can estimate the value of Lyxor DAX UCITS from the perspective of Lyxor DAX response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Lyxor DAX UCITS on the next trading day is expected to be 84.26 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 35.09.

Lyxor DAX after-hype prediction price

    
  CHF 84.26  
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.
  
Check out fundamental analysis of Lyxor DAX to check your projections.

Lyxor DAX Additional Predictive Modules

Most predictive techniques to examine Lyxor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lyxor using various technical indicators. When you analyze Lyxor 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.
A two period moving average forecast for Lyxor DAX is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Lyxor DAX Simple Moving Average Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Moving Average forecasted value of Lyxor DAX UCITS on the next trading day is expected to be 84.26 with a mean absolute deviation of 0.59, mean absolute percentage error of 0.57, and the sum of the absolute errors of 35.09.
Please note that although there have been many attempts to predict Lyxor 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 Lyxor DAX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lyxor DAX Etf Forecast Pattern

Lyxor DAX Forecasted Value

In the context of forecasting Lyxor DAX'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. Lyxor DAX's downside and upside margins for the forecasting period are 83.38 and 85.14, respectively. We have considered Lyxor DAX'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
84.26
84.26
Expected Value
85.14
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Lyxor DAX etf data series using in forecasting. Note that when a statistical model is used to represent Lyxor DAX 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 Criteria113.8722
BiasArithmetic mean of the errors 0.0268
MADMean absolute deviation0.5947
MAPEMean absolute percentage error0.0071
SAESum of the absolute errors35.09
The simple moving average model is conceptually a linear regression of the current value of Lyxor DAX UCITS price series against current and previous (unobserved) value of Lyxor DAX. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Lyxor DAX

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lyxor DAX UCITS. 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.
Hype
Prediction
LowEstimatedHigh
83.3884.2685.14
Details
Intrinsic
Valuation
LowRealHigh
75.9976.8792.69
Details
Bollinger
Band Projection (param)
LowMiddleHigh
82.1983.3384.48
Details

Other Forecasting Options for Lyxor DAX

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

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

Lyxor DAX UCITS 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 Lyxor DAX'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 Lyxor DAX's current price.

Lyxor DAX Market Strength Events

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

Lyxor DAX Risk Indicators

The analysis of Lyxor DAX'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 Lyxor DAX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lyxor 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Lyxor Etf

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