CanadaBis Capital Stock Forward View - Triple Exponential Smoothing

CANB Stock  CAD 0.02  0.00  0.00%   
This reference page presents Triple Exponential Smoothing forecast data for CanadaBis Capital. The projected values and error metrics are presented below as reference information. The output values and deviation metrics are provided for informational reference.
The Triple Exponential Smoothing forecasted value of CanadaBis Capital on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0008 and the sum of the absolute errors of 0.05.As with simple exponential smoothing, in triple exponential smoothing models past CanadaBis Capital 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 CanadaBis Capital observations. This Triple Exponential Smoothing forecast data for CanadaBis Capital is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for CanadaBis Capital - 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 CanadaBis Capital 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 CanadaBis Capital price movement. However, neither of these exponential smoothing models address any seasonality of CanadaBis Capital.

Triple Exponential Smoothing Price Forecast For the 28th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of CanadaBis Capital on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0008 , mean absolute percentage error of 0.00000424 , and the sum of the absolute errors of 0.05 .
Please note that although there have been many attempts to predict CanadaBis Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that CanadaBis Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest CanadaBis Capital  CanadaBis Capital Price Prediction  Research Analysis  

Forecasted Value

Forecasting CanadaBis Capital for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
0.02
0.0002
Downside
0.02
Expected Value
7.84
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 CanadaBis Capital stock data series using in forecasting. Note that when a statistical model is used to represent CanadaBis Capital 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 2.0E-4
MADMean absolute deviation8.0E-4
MAPEMean absolute percentage error0.0339
SAESum of the absolute errors0.05
As with simple exponential smoothing, in triple exponential smoothing models past CanadaBis Capital 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 CanadaBis Capital observations.

Other Forecasting Options for CanadaBis Capital

CanadaBis Capital's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in CanadaBis often signals an upcoming reversal or acceleration. Gap analysis of CanadaBis Stock data examines overnight jumps between CanadaBis Capital's closing and opening prices.

CanadaBis Capital Related Equities

These stocks are related to CanadaBis Capital within the Health Care space and can be used for peer review, pricing, or spreading risk. Peer review on balance sheet metrics shows how CanadaBis Capital's capital structure stacks up against similar firms.
 Risk & Return  Correlation

CanadaBis Capital Market Strength Events

Market strength indicators help investors evaluate how CanadaBis Capital stock reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading CanadaBis Capital. These indicators can identify periods when trading CanadaBis Capital may offer more favorable risk-reward conditions.

CanadaBis Capital Risk Indicators

The analysis of CanadaBis Capital's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding CanadaBis Capital's allows investors to make informed decisions about their exposure. The analysis of CanadaBis Capital's basic risk metrics provides a foundation for managing investment risk.
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.

Story Coverage note for CanadaBis Capital

A coverage review of CanadaBis Capital shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

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