The Triple Exponential Smoothing forecasted value of Feel Foods on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0001 and the sum of the absolute errors of 0.01. Feel Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Feel Foods' historical fundamentals, such as revenue growth or operating cash flow patterns.
Feel
Triple exponential smoothing for Feel Foods - 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 Feel Foods 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 Feel Foods price movement. However, neither of these exponential smoothing models address any seasonality of Feel Foods.
Feel Foods Triple Exponential Smoothing Price Forecast For the 26th of December
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Feel Foods on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0001, mean absolute percentage error of 0.00000012, and the sum of the absolute errors of 0.01.
Please note that although there have been many attempts to predict Feel Pink Sheet 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 Feel Foods' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Feel Foods' Pink Sheet 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. Feel Foods' downside and upside margins for the forecasting period are 0.000061 and 30.62, respectively. We have considered Feel Foods' 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.
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 Feel Foods pink sheet data series using in forecasting. Note that when a statistical model is used to represent Feel Foods pink sheet, 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.
AIC
Akaike Information Criteria
Huge
Bias
Arithmetic mean of the errors
-1.0E-4
MAD
Mean absolute deviation
1.0E-4
MAPE
Mean absolute percentage error
0.038
SAE
Sum of the absolute errors
0.0088
As with simple exponential smoothing, in triple exponential smoothing models past Feel Foods 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 Feel Foods observations.
Predictive Modules for Feel Foods
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Feel Foods. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
For every potential investor in Feel, whether a beginner or expert, Feel Foods' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Feel Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Feel. Basic forecasting techniques help filter out the noise by identifying Feel Foods' price trends.
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 Feel Foods pink sheet to make a market-neutral strategy. Peer analysis of Feel Foods could also be used in its relative valuation, which is a method of valuing Feel Foods by comparing valuation metrics with similar companies.
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Feel Foods' 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 Feel Foods' current price.
Market strength indicators help investors to evaluate how Feel Foods pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Feel Foods shares will generate the highest return on investment. By undertsting and applying Feel Foods pink sheet market strength indicators, traders can identify Feel Foods entry and exit signals to maximize returns.
Feel Foods financial ratios help investors to determine whether Feel Pink Sheet 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 Feel with respect to the benefits of owning Feel Foods security.