Companhia Stock Forecast - Triple Exponential Smoothing

CTNM3 Stock  BRL 7.13  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of Companhia de Tecidos on the next trading day is expected to be 7.13 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Companhia Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Companhia - 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 Companhia 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 Companhia price movement. However, neither of these exponential smoothing models address any seasonality of Companhia de Tecidos.

Companhia Triple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Companhia de Tecidos on the next trading day is expected to be 7.13 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Companhia 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 Companhia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Companhia Stock Forecast Pattern

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Companhia Forecasted Value

In the context of forecasting Companhia'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. Companhia's downside and upside margins for the forecasting period are 7.13 and 7.13, respectively. We have considered Companhia'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
7.13
7.13
Expected Value
7.13
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 Companhia stock data series using in forecasting. Note that when a statistical model is used to represent Companhia 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 None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
As with simple exponential smoothing, in triple exponential smoothing models past Companhia 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 Companhia de Tecidos observations.

Predictive Modules for Companhia

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Companhia de Tecidos. 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
7.137.137.13
Details
Intrinsic
Valuation
LowRealHigh
7.137.137.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Companhia. Your research has to be compared to or analyzed against Companhia's peers to derive any actionable benefits. When done correctly, Companhia's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Companhia de Tecidos.

Other Forecasting Options for Companhia

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

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

Companhia de Tecidos 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 Companhia'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 Companhia's current price.

Companhia Market Strength Events

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

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 Companhia Stock Analysis

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