METTLER TOLEDO Stock Forecast - 4 Period Moving Average

MTO Stock  EUR 1,162  10.50  0.90%   
The 4 Period Moving Average forecasted value of METTLER TOLEDO INTL on the next trading day is expected to be 1,172 with a mean absolute deviation of 28.15 and the sum of the absolute errors of 1,604. METTLER Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for METTLER TOLEDO INTL is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

METTLER TOLEDO 4 Period Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of METTLER TOLEDO INTL on the next trading day is expected to be 1,172 with a mean absolute deviation of 28.15, mean absolute percentage error of 1,372, and the sum of the absolute errors of 1,604.
Please note that although there have been many attempts to predict METTLER 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 METTLER TOLEDO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

METTLER TOLEDO Stock Forecast Pattern

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METTLER TOLEDO Forecasted Value

In the context of forecasting METTLER TOLEDO's 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. METTLER TOLEDO's downside and upside margins for the forecasting period are 1,170 and 1,174, respectively. We have considered METTLER TOLEDO'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
1,162
1,172
Expected Value
1,174
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of METTLER TOLEDO stock data series using in forecasting. Note that when a statistical model is used to represent METTLER TOLEDO 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 Criteria117.9831
BiasArithmetic mean of the errors 7.6952
MADMean absolute deviation28.1469
MAPEMean absolute percentage error0.0233
SAESum of the absolute errors1604.375
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of METTLER TOLEDO. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for METTLER TOLEDO INTL and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for METTLER TOLEDO

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as METTLER TOLEDO INTL. 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.
Hype
Prediction
LowEstimatedHigh
1,1611,1621,164
Details
Intrinsic
Valuation
LowRealHigh
1,0791,0811,279
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,1531,1891,224
Details

Other Forecasting Options for METTLER TOLEDO

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

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

METTLER TOLEDO INTL 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 METTLER TOLEDO'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 METTLER TOLEDO's current price.

METTLER TOLEDO Market Strength Events

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

METTLER TOLEDO Risk Indicators

The analysis of METTLER TOLEDO'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 METTLER TOLEDO's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mettler 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.

Thematic Opportunities

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Additional Tools for METTLER Stock Analysis

When running METTLER TOLEDO's price analysis, check to measure METTLER TOLEDO's 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 METTLER TOLEDO is operating at the current time. Most of METTLER TOLEDO's value examination focuses on studying past and present price action to predict the probability of METTLER TOLEDO's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move METTLER TOLEDO's price. Additionally, you may evaluate how the addition of METTLER TOLEDO to your portfolios can decrease your overall portfolio volatility.