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Indicators derived from Drummond Geometry [ edit ] Indicators developed for the efficient application of P&L charting or Drummond geometry include the assemblage of several P&L lines and levels into groups that represent future support and resistance "zones," which are further classified into "nearby" and "further-out" support and resistance areas.
In finance, a trend line is a bounding line for the price movement of a security. It is formed when a diagonal line can be drawn between a minimum of three or more price pivot points. A line can be drawn between any two points, but it does not qualify as a trend line until tested. Hence the need for the third point, the test.
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 ...
Trend line can refer to: A linear regression in statistics; The result of trend estimation in statistics; Trend line (technical analysis), a tool in technical analysis
Stochastic oscillator is a momentum indicator within technical analysis that uses support and resistance levels as an oscillator. George Lane developed this indicator in the late 1950s. [ 1 ] The term stochastic refers to the point of a current price in relation to its price range over a period of time. [ 2 ]
Volume–price trend (VPT) (sometimes price–volume trend) is a technical analysis indicator intended to relate price and volume in the stock market.VPT is based on a running cumulative volume that adds or subtracts a multiple of the percentage change in share price trend and current volume, depending upon the investment's upward or downward movements.
A line break chart, also known as a three-line break chart, is a Japanese trading indicator and chart used to analyze the financial markets. [1] Invented in Japan, these charts had been used for over 150 years by traders there before being popularized by Steve Nison in the book Beyond Candlesticks.
All have the same trend, but more filtering leads to higher r 2 of fitted trend line. The least-squares fitting process produces a value, r-squared (r 2), which is 1 minus the ratio of the variance of the residuals to the variance of the dependent variable. It says what fraction of the variance of the data is explained by the fitted trend line.