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The relationship between different moving average trading rules is explained in the paper "Anatomy of Market Timing with Moving Averages". [4] Specifically, in this paper the author demonstrates that every trading rule can be presented as a weighted average of the momentum rules computed using different averaging periods.
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The money flow for a certain day is typical price multiplied by volume on that day. = The money flow is divided into positive and negative money flow. Positive money flow is calculated by adding the money flow of all the days where the typical price is higher than the previous day's typical price.
In statistics, a moving average (rolling average or running average or moving mean [1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.
Average true range (ATR) is a technical analysis volatility indicator originally developed by J. Welles Wilder, Jr. for commodities. [1] [2] The indicator does not provide an indication of price trend, simply the degree of price volatility. [3] The average true range is an N-period smoothed moving average (SMMA) of the true range values. Wilder ...
The ADX combines them and smooths the result with a smoothed moving average. To calculate +DI and -DI, one needs price data consisting of high, low, and closing prices each period (typically each day). One first calculates the directional movement (+DM and -DM): UpMove = today's high − yesterday's high DownMove = yesterday's low − today's low