Bio Meat Stock Forecast - Triple Exponential Smoothing

BIMT Stock   21.60  0.80  3.57%   
The Triple Exponential Smoothing forecasted value of Bio Meat Foodtech on the next trading day is expected to be 21.66 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 46.14. Bio Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bio Meat stock prices and determine the direction of Bio Meat Foodtech's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bio Meat's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Bio Meat - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Bio Meat 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 trend in Bio Meat price movement. However, neither of these exponential smoothing models address any seasonality of Bio Meat Foodtech.

Bio Meat Triple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Bio Meat Foodtech on the next trading day is expected to be 21.66 with a mean absolute deviation of 0.78, mean absolute percentage error of 0.96, and the sum of the absolute errors of 46.14.
Please note that although there have been many attempts to predict Bio 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 Bio Meat's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bio Meat Stock Forecast Pattern

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Bio Meat Forecasted Value

In the context of forecasting Bio Meat'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. Bio Meat's downside and upside margins for the forecasting period are 18.20 and 25.11, respectively. We have considered Bio Meat'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
21.60
21.66
Expected Value
25.11
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bio Meat stock data series using in forecasting. Note that when a statistical model is used to represent Bio Meat 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 -0.1388
MADMean absolute deviation0.782
MAPEMean absolute percentage error0.0325
SAESum of the absolute errors46.1383
As with simple exponential smoothing, in triple exponential smoothing models past Bio Meat observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Bio Meat Foodtech observations.

Predictive Modules for Bio Meat

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bio Meat Foodtech. 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
18.9422.4025.86
Details
Intrinsic
Valuation
LowRealHigh
16.7020.1623.62
Details

Other Forecasting Options for Bio Meat

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

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

Bio Meat Foodtech 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 Bio Meat'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 Bio Meat's current price.

Bio Meat Market Strength Events

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

Bio Meat Risk Indicators

The analysis of Bio Meat'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 Bio Meat's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bio 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.

Other Information on Investing in Bio Stock

Bio Meat financial ratios help investors to determine whether Bio Stock 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 Bio with respect to the benefits of owning Bio Meat security.