Mainz Biomed Stock Forecast - Double Exponential Smoothing

MYNZ Stock  USD 7.32  0.40  5.78%   
The Double Exponential Smoothing forecasted value of Mainz Biomed BV on the next trading day is expected to be 7.32 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.06. Mainz Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to rise to 0.70 in 2024, whereas Payables Turnover is likely to drop 0.16 in 2024. . Common Stock Shares Outstanding is likely to drop to about 12.1 M in 2024. Net Loss is likely to rise to about (10 M) in 2024.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Mainz Biomed works best with periods where there are trends or seasonality.

Mainz Biomed Double Exponential Smoothing Price Forecast For the 6th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Mainz Biomed BV on the next trading day is expected to be 7.32 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.77, and the sum of the absolute errors of 8.06.
Please note that although there have been many attempts to predict Mainz 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 Mainz Biomed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mainz Biomed Stock Forecast Pattern

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Mainz Biomed Forecasted Value

In the context of forecasting Mainz Biomed'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. Mainz Biomed's downside and upside margins for the forecasting period are 0.07 and 132.67, respectively. We have considered Mainz Biomed'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
7.32
7.32
Expected Value
132.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Mainz Biomed stock data series using in forecasting. Note that when a statistical model is used to represent Mainz Biomed 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 CriteriaHuge
BiasArithmetic mean of the errors -0.1186
MADMean absolute deviation0.1366
MAPEMean absolute percentage error0.0773
SAESum of the absolute errors8.06
When Mainz Biomed BV 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 Mainz Biomed BV trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Mainz Biomed observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Mainz Biomed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mainz Biomed BV. 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
0.346.86738.86
Details
Intrinsic
Valuation
LowRealHigh
0.367.11739.11
Details
2 Analysts
Consensus
LowTargetHigh
8.809.6710.73
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-8-8-8
Details

Other Forecasting Options for Mainz Biomed

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

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 Risk & Return  Correlation

Mainz Biomed BV 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 Mainz Biomed'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 Mainz Biomed's current price.

Mainz Biomed Market Strength Events

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

Mainz Biomed Risk Indicators

The analysis of Mainz Biomed'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 Mainz Biomed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mainz 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 Mainz Stock Analysis

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