Regression Period - Number of bars to be used in computing the regression line. If the period is N, then the resulting slope will be the slope of the regression line involving the current bar and the previous N-1 bars.
Linear Regression Indicator
The Linear Regression Indicator plots the trend of a market instrument's price over a specified length of time.
Linear Regression Line: A line that best fits all the data points of interest. For more information, see: Linear Regression Line.
Linear Regression
Linear regression is a method of organizing data. Sometimes it is appropriate to show data as points on a graph, then try to draw a straight line through the data. Linear regression is an algorithm for drawing such a line.
Linear Regression Channels (LRC)
A Linear Regression Channel is a indicator used to determine the trend a security is developing and the most probable price range that will take place within that trend.
Linear Regression Channels
A technical indicator used to determine the trend a security is developing and the likely price range that will take place within that trend.
Linear Regression is a forex technical indicator used in technical analysis by many traders. Linear Regression is a statistical data to predict future prices from past data, and is usually used when the price increase or decrease significantly.
Linear regression is used to predict future values from past values using statistics - often showing when securities are overpriced.
Linear Regression
Linear regression fits a straight line to the selected data using a method called the Sum Of Least Squares.
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Linear Regression Slope
The usage of Linear Regression slope is prediction of the following forex market values based on the previous ones. It is considered as a statistical engine.
Regression studies can also help identify potential trend reversal area's. Early identification of trend reversals is one of the most important functions of good analysis.
Regression takes a group of random variables, thought to be predicting Y, and tries to find a mathematical relationship between them.
LINEAR REGRESSION LINES
Overview
Linear regression is a statistical tool used to predict future values from past values. In the case of security prices, it is commonly used to determine when prices are overextended.
Hedonic regression, or more generally hedonic demand theory, in economics is a method of estimating demand or prices.
A Linear Regression Trendline is a straight line drawn through a chart of a security's prices using the least squares method.
First-pass regression
Definition:
A time Series regression to estimate the betas of securities portfolios. ...
Linear Regression (LIN)
Futures.Quote uses the least squares technique to fit a straight line to the data. In simple terms, the software system computes the linear trend with 1 to time. Is the market trending lower or higher with respect to time?
Regression Channels: Linear regression is a statistical tool used to...
Gann Studies: W. D. Gann (1878-1955) designed several unique...
Fibonacci Studies: Leonardo Fibonacci was an important mathematician...
Regression Analysis A statistical technique for fitting best line through data.
Regular Dividend Dividend that is expected to be maintained at regular time intervals.
Regressione lineare - retta principale sulla quale viene costruito un canale di volatilità.
Regression
A statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables).
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Regression (simple)
A mathematical way of stating the statistical linear relationship between one independent and one dependent variable.
Regression
A mathematical technique used to explain and/or predict.
Linear Regression Line
Trendlines connecting highs and lows actually flank the true trendline, which is the line that would run through most of the middle of the price bars.
Linear Regression is a tool used to measure trends and consists of a straight line drawn through the prices using the least squares method to plot the line.
Linear regression
A statistical technique for fitting a straight line to a set of data points.
Linking method
Method for calculating rates of return that multiplies one plus the interim rate of return.
Regression
A statistical technique used to establish the relationship of a dependent variable (e.g., excess return) and one or more independent variables (e.g., exposure to market, size, and value risks).
Regression analysis could be used to estimate the unknown parameters β0, β1, and β2 in the relationship, using data on price, income, and quantity.
Regression Channel
Linear Regression Channel indicator plots a straight trendline on the price chart and the two standard-deviation lines above and below the trendline.
The Regression Channel is constructed by plotting two parallel, equidistant lines above and below a Linear Regression trend line.
The regression approach that we introduced in the previous section allows us to control for differences on those variables that we believe cause differences in multiples across firms.
I use regression analysis on the whole S&P 500, where 'x' is the ROIC/COC ratio and 'y' is the Market Cap/Investment Capital ratio.
Linear Regression
A Linear Regression line is a 'best fit' line modeling a scatter plot of data. One can think of it as the equilibrium line of a set of data points.
» regression analysis
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Beta A regression of the estimated coefficient that belongs to a particular variable.
4. Linear Regression
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First-pass regression
A time series regression to estimate the betas of securities portfolios.
First preferred stock
A type of preferred stock that has priority over other preferred issues and common stock when claiming dividends and assets.
Linear Regression Forecast
Linear Regression is a statistical measurement that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as ...
A five wave pattern with subwaves 5-3-5-3-5 and no overlap between waves one and four. Linear regression A method of drawing a line such that the distance between the points and the line is at a minimum.
linear regression A statistical technique in which a straight line is fitted to a set of data... link share Link Sharing - (or Reciprocal Link Exchange) is the practice of exchanging links...
The intercept in this regression is an estimate of the risk-adjusted excess rate of return.
Simple linear regression A regression analysis between only two variables, one dependent and the other explanatory.
In an attempt to actually experience something beyond the painfully limiting framework of the physical world, I made a couple of visits to a hypnotherapist who practiced past-life regression therapy.
Trend line - a regression line that predicts future prices based on past prices.
Trend line penetration - when a price crosses Bollinger bands, or some other measure of the range of standard deviation of the trend line.
Beta is defined as the linear regression slope of a stock portfolio (or a single stock), the benchmark over a specified period of time. For example, one can compute the of Hutchison stock with respect to the Hang Seng Index over the past six months.
It is calculated through regression analysis and gives the trader an indication of what to expect based on how the benchmark index performs.
One of the better methods of tracking the short-term trend of volume is by linear regression. You can smooth the linear regression slope with a short-term TEMA average, but the result will still not be smooth enough.
Luque[3] approaches the problem with outliers by performing linear regressions over the set of data points (input, output). The algorithm deals with the data by allocating regions for noisy data.
'I have seen swing traders base trades on Lunar cycles, support resistance, pivot points, sun spots, regression lines, indicators, etc., etc. ad infinitum. I cannot tell you what will work for you but I can tell you that the key is comfort.
It's tempting to try to pinpoint an exact low, especially if you're working with indictors like Fibonacci fan and time lines, cycle studies, regression channels, even plain old lateral support points.
It is based on a 36-month historical regression of the return on the security compared to the return on the S&P 500. For example, a beta of 1.5 indicates that a stock tends to move 50% more than the S&P 500 in the same direction.
Advice: The beta of a stock is calculated by running a regression analysis. The result is a beta coefficient. If the beta coefficient is 1, the stock tends to be as volatile as the stock market.
His Trend Regression Portfolio Strategy is working with performance statistics on the website beating the S&P 500 by 3% to 157% annualized.
He devotes more than 100 pages to demonstrating regression analysis, a mathematical tool used in fundamental analysis.
A statistical measure of how well a regression line approximates real data points; an r-squared of 1.0 (100%) indicates a perfect fit. The formula for r is: r(X,Y) = [ Cov(X,Y) ] / [ StdDev(X) x StdDev(Y) ]
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Chande Momentum Oscillator (CMO): The CMO is an advanced momentum oscillator derived from linear regression. Increasingly high values of CMO may indicate that prices are trending strongly upwards.
A technique used to improve the analysis over regression techniques. It can be used for identifying relationships between predictor and criterion variables, whether the predictor variables are quantitative or qualitative in nature.
Analysis of Variance: A technique used to improve the analysis over regression techniques.
The poly (from "polynomial regression") lines are the smoothed versions of the interest rate and differential curves.
The Beta is difficult to calculate and it requires a regression analysis. Once you have the Beta for a particular investment portfolio, however, the calculation is simple.
 See also: Market, Analysis, Trend, Indicator, Linear Regression
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