Siemens Healthineers Stock Forecast - 20 Period Moving Average

SHL Stock   51.32  0.36  0.71%   
The 20 Period Moving Average forecasted value of Siemens Healthineers AG on the next trading day is expected to be 50.53 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 47.95. Siemens Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Siemens Healthineers AG is based on a synthetically constructed Siemens Healthineersdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Siemens Healthineers 20 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Siemens Healthineers AG on the next trading day is expected to be 50.53 with a mean absolute deviation of 1.17, mean absolute percentage error of 2.19, and the sum of the absolute errors of 47.95.
Please note that although there have been many attempts to predict Siemens Stock 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 Siemens Healthineers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Siemens Healthineers Stock Forecast Pattern

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Siemens Healthineers Forecasted Value

In the context of forecasting Siemens Healthineers' Stock 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. Siemens Healthineers' downside and upside margins for the forecasting period are 48.93 and 52.13, respectively. We have considered Siemens Healthineers' 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
51.32
50.53
Expected Value
52.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Siemens Healthineers stock data series using in forecasting. Note that when a statistical model is used to represent Siemens Healthineers stock, 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 Criteria82.1349
BiasArithmetic mean of the errors 0.2005
MADMean absolute deviation1.1695
MAPEMean absolute percentage error0.0233
SAESum of the absolute errors47.95
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Siemens Healthineers 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Siemens Healthineers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siemens Healthineers. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Siemens Healthineers' 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
49.7251.3252.92
Details
Intrinsic
Valuation
LowRealHigh
49.5251.1252.72
Details
Bollinger
Band Projection (param)
LowMiddleHigh
48.8350.4051.96
Details

Other Forecasting Options for Siemens Healthineers

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

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

Siemens Healthineers Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Siemens Healthineers' 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 Siemens Healthineers' current price.

Siemens Healthineers Market Strength Events

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

Siemens Healthineers Risk Indicators

The analysis of Siemens Healthineers' 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 Siemens Healthineers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting siemens stock 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.

Additional Tools for Siemens Stock Analysis

When running Siemens Healthineers' price analysis, check to measure Siemens Healthineers' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Siemens Healthineers is operating at the current time. Most of Siemens Healthineers' value examination focuses on studying past and present price action to predict the probability of Siemens Healthineers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siemens Healthineers' price. Additionally, you may evaluate how the addition of Siemens Healthineers to your portfolios can decrease your overall portfolio volatility.