smooth

badshah_e_alam

This code is based on Smoothed HA candle which will work on all chart types condition for BUY: 1. When close crosses Smoothed HA 2.Close should be in side upper band 3.BBW must be greater than the average vice versa for sell this code takes data from HA chart so that it can be applied on all chart type. Bollinger band and Bollinger band width conditions added...

Bjorgum

-This script uses a triple EMA strategy to establish trend direction and reversal points -Inputs are smoothed with Heiken Ashi values to reduce whipsaws, while providing timely execution -Buy and sell indications are dictated by bar color -Bar color is dictated by the candle close value in relation to the EMAs, specifically the faster of the 3 (If candle closes...

fareidzulkifli

Description : This SwissArmyKnife - MultiPurposeIndicator allows user to modify the Directional index based on one of filtering tools proposed by John F.Ehlers . Details of each filtering type can be read in Ehlers Technical Papers: "Swiss Army Knife Indicator" and/or his book "Cybernetics Analysis for Stock and Futures" Disclaimer: These study scripts was built...

LuxAlgo

The following moving average adapt to the average number of highest high/lowest low made over a specific period, thus adapting to trend strength. Interesting results can be obtained when using the moving average in a MA crossover system or as a trailing support/resistance. Settings Length : Period of the indicator, with higher values returning smoother...

Bjorgum

-This script utilizes simple color changes of the TSI output signals to aid in interpretation of the classic TSI indicator. -Crosses of the TSI value line and signal line are a bullish or bearish indication. TSI value line is colored green or yellow to help identify that the TSI value line is either dropping or rising, while over or under the signal line. -This...

alexgrover

So far the most widely used moving average with an adjustable weighting function is the Arnaud Legoux moving average (ALMA), who uses a Gaussian function as weighting function. Adjustable weighting functions are useful since they allow us to control characteristics of the moving average such as lag and smoothness. The following moving average has a simple...

everget

This indicator was originally developed by Marc Chaikin.

everget

Advanced Price Volume Trend indicator.

everget

This indicator was originally described by Joseph E. Granville in his book "Granville's New Key To Stock Market Profits" (1963).

HammondB3

B3 Directional Trend Index ~ All about the trend! William Blau is the designer of this gem, and IMHO it is the best trend finder of all the lagging indicators out there I have tested. It is important to pay attention to the slope and thickness of the line, and its relationship to zero. A reversion to the zero may look momentous, but in fact it could reverse...

Dreadblitz

MACD normalized with its highest and lowest values over the last “Normalization period” - includes alerts

BigBitsIO

This Volume Effectiveness indicator is designed to allow users to try and identify how effective volume is on each candle, and smoothing those values over time to try to find trends. Volume Effectiveness is the % change in price for each single unit of volume on the associated candle. The value can be positive or negative, but there is an option to just monitor...

dimasfrolov

Crossing the Smoothed Moving Averages with settings 5 & 13 give you confident signal for selling or buying. IMPORTANT: Signal is always late. SELL : Short SMMA (5) cross the Long SMMA (13) from top BUY : Short SMMA (5) cross the Long SMMA (13) from down

alexgrover

A quadratic regression is the process of finding the equation that best fits a set of data.This form of regression is mainly used for smoothing data shaped like a parabola. Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression. Like the Linear Regression (LSMA) a...

HPotter

This is new version of RSI oscillator indicator, developed by John Ehlers. The main advantage of his way of enhancing the RSI indicator is smoothing with minimum of lag penalty.

PineCoders

When designing filters it can be interesting to have information about their characteristics, which can be obtained from the set of filter coefficients (weights). The following script analyzes the impulse response of a filter in order to return the following information: Lag Smoothness via the Herfindahl index Percentage Overshoot Percentage Of Positive...

alexgrover

A derivation of the Kalman Filter. Lower Gain values create smoother results.The ratio Smoothing/Lag is similar to any Low Lagging Filters. The Gain parameter can be decimal numbers. Kalman Smoothing With Gain = 20 For any questions/suggestions feel free to contact me

alexgrover

Introduction The concept of windowing was briefly introduced in the Blackman filter post, however windowing is more than just some window functions, and isn't exclusively used in filter design. Today we will use windowing with the volume weighted moving average, a moving average that weight the price with volume in order to be more reactive when volume is high,...