LEEF BRANDS Stock Forecast - Triple Exponential Smoothing

Triple exponential smoothing for LEEF BRANDS - 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 LEEF BRANDS 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 LEEF BRANDS price movement. However, neither of these exponential smoothing models address any seasonality of LEEF BRANDS INC.

LEEF BRANDS Triple Exponential Smoothing Price Forecast For the 5th of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of LEEF BRANDS INC on the next trading day is expected to be 0.22 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 0.93.

LEEF BRANDS Stock Forecast Pattern

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 LEEF BRANDS stock data series using in forecasting. Note that when a statistical model is used to represent LEEF BRANDS 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. As with simple exponential smoothing, in triple exponential smoothing models past LEEF BRANDS 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 LEEF BRANDS INC observations.

Predictive Modules for LEEF BRANDS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LEEF BRANDS INC. 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.

LEEF BRANDS Related Equities

Risk & Return

Correlation

LEEF BRANDS Market Strength Events

LEEF BRANDS Risk Indicators

Currently Active Assets on Macroaxis