HPotter

Klinger Volume Oscillator (KVO)

The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning
from prior research on volume by such well-known technicians as Joseph Granville,
Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based
indicator to help in both short- and long-term analysis.
The KO was developed with two seemingly opposite goals in mind: to be sensitive
enough to signal short-term tops and bottoms, yet accurate enough to reflect the
long-term flow of money into and out of a security.
The KO is based on the following tenets:
Price range (i.e. High - Low) is a measure of movement and volume is the force behind
the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when
today's sum is greater than the previous day's. Conversely, distribution occurs when
today's sum is less than the previous day's. When the sums are equal, the existing trend
is maintained.
Volume produces continuous intra-day changes in price reflecting buying and selling pressure.
The KO quantifies the difference between the number of shares being accumulated and distributed
each day as "volume force". A strong, rising volume force should accompany an uptrend and then
gradually contract over time during the latter stages of the uptrend and the early stages of
the following downtrend. This should be followed by a rising volume force reflecting some
accumulation before a bottom develops.

Script open-source

Nello spirito di condivisione promosso da TradingView, l'autore (al quale vanno i nostri ringraziamenti) ha deciso di pubblicare questo script in modalità open-source, così che chiunque possa comprenderlo e testarlo. Puoi utilizzarlo gratuitamente, ma il riutilizzo del codice è subordinato al rispetto del Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

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////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 09/06/2014
// The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning 
// from prior research on volume by such well-known technicians as Joseph Granville, 
// Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based 
// indicator to help in both short- and long-term analysis.
// The KO was developed with two seemingly opposite goals in mind: to be sensitive 
// enough to signal short-term tops and bottoms, yet accurate enough to reflect the 
// long-term flow of money into and out of a security.
// The KO is based on the following tenets:
// Price range (i.e. High - Low) is a measure of movement and volume is the force behind 
// the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when 
// today's sum is greater than the previous day's. Conversely, distribution occurs when 
// today's sum is less than the previous day's. When the sums are equal, the existing trend 
// is maintained.
// Volume produces continuous intra-day changes in price reflecting buying and selling pressure. 
// The KO quantifies the difference between the number of shares being accumulated and distributed 
// each day as "volume force". A strong, rising volume force should accompany an uptrend and then 
// gradually contract over time during the latter stages of the uptrend and the early stages of 
// the following downtrend. This should be followed by a rising volume force reflecting some 
// accumulation before a bottom develops.
////////////////////////////////////////////////////////////
study(title="Klinger Volume Oscillator (KVO)", shorttitle="KVO")
TrigLen = input(13, minval=1)
FastX = input(34, minval=1)
SlowX = input(55, minval=1)
hline(0, color=gray, linestyle=line)
xTrend = iff(hlc3 > hlc3[1], volume * 100, -volume * 100)
xFast = ema(xTrend, FastX)
xSlow = ema(xTrend, SlowX)
xKVO = xFast - xSlow
xTrigger = ema(xKVO, TrigLen)
plot(xKVO, color=blue, title="KVO")
plot(xTrigger, color=red, title="Trigger")