Genesyslogic Stock Forecast - Triple Exponential Smoothing

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

Genesyslogic Triple Exponential Smoothing Price Forecast For the 1st of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Genesyslogic on the next trading day is expected to be 175.00 with a mean absolute deviation of 4.47, mean absolute percentage error of 33.03, and the sum of the absolute errors of 263.50.

Genesyslogic Stock Forecast Pattern

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Genesyslogic Price Prediction

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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 Genesyslogic stock data series using in forecasting. Note that when a statistical model is used to represent Genesyslogic 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 Genesyslogic 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 Genesyslogic observations.

Predictive Modules for Genesyslogic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Genesyslogic. 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 Low Estimated High 171.18 175.00 178.82 Details

Intrinsic Valuation Low Real High 134.57 138.39 192.50 Details

Bollinger Band Projection (param) Low Middle High 135.86 161.63 187.41 Details

Genesyslogic Related Equities

Risk & Return

Correlation

Genesyslogic Market Strength Events

Genesyslogic Risk Indicators

Pair Trading with Genesyslogic

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Genesyslogic position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Genesyslogic will appreciate offsetting losses from the drop in the long position's value.

Additional Tools for Genesyslogic Stock Analysis