Archive for Март, 2017

moving-averages-simple-and-exponential_4 Simple moving average

Simple Moving averages, are you getting the most out of yours? The simple moving average is without question. one the oldest and most basic

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moving-averages-in-theory-and-practice_1 Simple Example On Weighted Moving Average

This simple example shows how to find the dc offset embedded in a sinusoidal signal using Weighted Moving Average. The frequency and period of

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signal-and-noise_1 Signal and Noise

You can’t make what you can’t measure because you don’t know when you’ve got it made. Dr. Irving Gardner We’ve traveled far, and learned

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moving-averages-2_1 Moving Averages_2

In the realm of technical indicators, moving averages are extremely popular with market technicians and with good reason. Moving averages smooth the price action

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moving-average-parameters_2 Moving Average Parameters

Three Moving Average Parameters So you want to add a moving average on your charts. What are the parameters you have to set or

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moving-average-wikipedia-the-free-encyclopedia_1 Moving average Wikipedia the free encyclopedia

In statistics. a moving average (rolling average or running average ) is a calculation to analyze data points by creating a series of averages

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market-rewind-seeking-a-better-moving-average_1 Market Rewind Seeking a Better Moving Average

Seeking a Better Moving Average? Any trader with a charting package and more than two weeks of experience is well versed in the shortcomings

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what-is-moving-average_1 How to Calculate Exponential Moving Averages

Other People Are Reading Simple Moving Average The simple moving average of a stock price is the average of the end-of-day closing prices of

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exponential-filter_1 Exponential Filter

This page describes exponential filtering, the simplest and most popular filter. This is part of the section Filtering that is part of Overview, time

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moving-averages-in-theory-and-practice_1 Calculate Moving Average

Posted on April 28th, 2009 in Learn Excel — 174 comments Moving average is frequently used to understand underlying trends and helps in forecasting.

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