Investor Education Double Exponential Smoothing

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Investors can use prediction functions to forecast Investor Education historic prices and determine the direction of FILTER future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Investor Education historical fundamentals such as revenue growth or operating cash flow patterns. See also Investing Opportunities.
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Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Investor Education works best with periods where there are trends or seasonality.
When FILTER 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 FILTER trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Investor Education observations are given relatively more weight in forecasting than the older observations.

Double Exponential Smoothing In A Nutshell

Smoothing is a term used when we are trying to turn the data into smoother trends. If you note on some indicators, they move in a wild manner and are choppy. The ideal indicator moves smoothly, giving use a potentially more accurate reading. If you saw an RSI that moved quickly, it may deter you from using that tool because you may not have the ability to form an opinion quick enough. However, if you are day trading, you may decide the quick movements are what you need.

If you have not done so or are new to exponential smoothing, check out simple exponential smoothing. It will give you a better understanding of double exponential smoothing and what the differences may be between the two. One of the main differences between the two is that simple exponential smoothing tends to lack when the market is trending.

Closer Look at Double Exponential Smoothing

You can smooth any amount of data into double, triple, and so on. The equation that goes into the double exponential smoothing can be difficult and off putting. However, it is important to understand the basic information that is taken into account as you want to understand what makes it move. It may not be necessary to understand the full equation however unless you are building a proprietary instrument. MacroAxis offers many different tools and researching aids that you can narrow in on exactly what fits your needs best. Throw in numbers and begin testing out certain aspects.

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