How to build a scan for Bollinger Volatility Breakout Method

T

The ARC

New member
I am trying to build a scanner to scan all optionable assets that match Bollinger volatility breakout method per the textbook.

General concept is that when Bollinger bandwidth contracts, the squeeze(low volatility) becomes a precursor for a breakout. Textbook recommends a lookback of 180 periods.

What I am trying to build is periods of low volatility (say bandwidth <10% in more than 30 time period) followed by increasing bandwidth suggesting a breakout. Can anyone assist with a script?

I tried to build something where BollingerBandwidth("squeeze length" = 50)."Bandwidth" from 1 bars ago is less than or equal to BollingerBandwidth("squeeze length" = 50)."Squeeze" from 1 bars ago but not exactly sure if its giving me anything more than assets going in a squeeze rather than assets that were in a squeeze and just breaking out.

In the example below, the rectangle shows the squeeze with bandwidth almost flatline then the breakdown. A scanner than checks for the flatline and the breakout/breakdown will be very helpful.

40dN7lx.png
 
Solution
halcyonguy
The ARC said:
I am trying to build a scanner to scan all optionable assets that match Bollinger volatility breakout method per the textbook.

General concept is that when Bollinger bandwidth contracts, the squeeze(low volatility) becomes a precursor for a breakout. Textbook recommends a lookback of 180 periods.

What I am trying to build is periods of low volatility (say bandwidth <10% in more than 30 time period) followed by increasing bandwidth suggesting a breakout. Can anyone assist with a script?

I tried to build something where BollingerBandwidth("squeeze length" = 50)."Bandwidth" from 1 bars ago is less than or equal to BollingerBandwidth("squeeze length" = 50)."Squeeze" from 1 bars ago but not exactly sure if its giving me anything more...
Click to expand...
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The ARC said:
I am trying to build a scanner to scan all optionable assets that match Bollinger volatility breakout method per the textbook.

General concept is that when Bollinger bandwidth contracts, the squeeze(low volatility) becomes a precursor for a breakout. Textbook recommends a lookback of 180 periods.

What I am trying to build is periods of low volatility (say bandwidth <10% in more than 30 time period) followed by increasing bandwidth suggesting a breakout. Can anyone assist with a script?

I tried to build something where BollingerBandwidth("squeeze length" = 50)."Bandwidth" from 1 bars ago is less than or equal to BollingerBandwidth("squeeze length" = 50)."Squeeze" from 1 bars ago but not exactly sure if its giving me anything more than assets going in a squeeze rather than assets that were in a squeeze and just breaking out.

In the example below, the rectangle shows the squeeze with bandwidth almost flatline then the breakdown. A scanner than checks for the flatline and the breakout/breakdown will be very helpful.
Click to expand...


this is a lower study, that uses BollingerBandwidth , bandwidth data
...1. look for bandwidth staying below the % min number (10), for x bars {30)
...2. followed by increasing bandwidth for x bars (3)
...3. draw a vertical green line, on the first bar of #2
...4. draw arrows when #3 happens, based on price movement.


i don't scan, so i don't make scans.
to make this a scan,
...change all plots to def and add # to plot parameter code lines
.then remove the # from this line, at the end of code
...# plot buy2 = buy;


Code: 
# bband_sqz_out_01

#==============================

def na = double.nan;
def bn = barnumber();

#=================================
# BollingerBandwidth
# TD Ameritrade IP Company, Inc. (c) 2008-2021
declare lower;
input averageType = AverageType.SIMPLE;
def price = close;
def displace = 0;
input length = 20;
input Num_Dev_Dn = -2.0;
input Num_Dev_Up = 2.0;
input BulgeLength = 150;
input SqueezeLength = 150;

def upperBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).UpperBand;
def lowerBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).LowerBand;
def midLine = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).MidLine;

plot Bandwidth = (upperBand - lowerBand) / midLine * 100;
Bandwidth.SetDefaultColor(GetColor(1));

input show_bulge_squeeze_lines = no;
plot Bulge = if show_bulge_squeeze_lines then Highest(Bandwidth, BulgeLength) else na;
Bulge.SetDefaultColor(GetColor(8));
Bulge.SetStyle(Curve.SHORT_DASH);
plot Squeeze = if show_bulge_squeeze_lines then Lowest(Bandwidth, SqueezeLength) else na;
Squeeze.SetDefaultColor(GetColor(8));
Squeeze.SetStyle(Curve.SHORT_DASH);
#==================================
#def bbb = BollingerBandwidth().Bandwidth;
def bbb = Bandwidth;
#---------------------------------

# draw a reference line
plot z0 = 0;
z0.setdefaultcolor(color.gray);

# a % number, that bandwidth has to stay under, to be considered in a squeeze
input squeeze_max_percent = 10;
def sqzper = squeeze_max_percent;

# qty of consecutive bars, to define a squeeze
input squeeze_min_bars = 30;
def sqzb = squeeze_min_bars;

# qty of bars after a squeeze, of increasing bandwidth, to define a breakout
input post_sqz_rising_bars = 3;
def sqzrise = post_sqz_rising_bars;

# qty of bars in series +1
def series_bars = (sqzb + sqzrise + 1);

input show_labels = yes;
addlabel(show_labels, "a yellow line, when bandwidth is < " + squeeze_max_percent + "%.", color.yellow);
addlabel(show_labels, "a white dot, in a squeeze. after " + squeeze_min_bars + " bars are < " + squeeze_max_percent + "%." , color.white);
addlabel(show_labels, "a green dot, after " + post_sqz_rising_bars + " rising bars, after a squeeze" , color.green);

#---------------------------------------------------------

# draw a line at the percent level , when bandwidth is < squeeze_max_percent
def sqzbar = (bbb < sqzper);
input show_sqz_bars = yes;
def v2 = sqzper;
plot z2 = if ( show_sqz_bars and sqzbar ) then v2 else na;
z2.SetDefaultColor(Color.yellow);
z2.hidebubble();

# ----------------------------------------------------------

# draw points under the min percent line,  after the squeeze_min_bars have passed

# set a var to 1 if a squeeze, the past x bars (30) were < the % min (10)
def sqz = if Sum( sqzbar, squeeze_min_bars) ==  squeeze_min_bars then 1 else 0;

def v3 = (sqzper * 0.8);
input show_sqzs = yes;
plot z3 = if ( show_sqzs and sqz ) then v3 else na;
z3.SetPaintingStrategy(PaintingStrategy.POINTS);
z3.SetDefaultColor(Color.white);
#z3.setlineweight(2);
z3.hidebubble();

# ----------------------------------------------------------

# check for 3 rising bars after a sqz
# put a comparison in a sum, to look for x increasing bars
def incr = bbb > bbb[1];

# find just the 1st sqz_out in a series
# if a sqz 3+1 bars ago, then did it rise for 3 bars in a row?
def after_sqz = if (sqz[sqzrise + 1] and ( Sum(incr, sqzrise) == sqzrise ) ) then 1 else 0;

def v4 = (sqzper * 0.6);
input show_sqz_rise = yes;
plot z4 = if ( show_sqz_rise and after_sqz ) then v4 else na;
z4.SetPaintingStrategy(PaintingStrategy.POINTS);
z4.SetDefaultColor(Color.green);
#z4.setlineweight(2);
z4.hidebubble();

# draw vertical line, 1st bar there is a sqz of 30 bars then a rise of 3 bars
def t = ( !after_sqz[1] and after_sqz );

#addverticalline( t, sqzb + " BAR SQUEEZE, " +  post_sqz_rising_bars + " RISING BARS" , color.green);
addverticalline( t, "-" , color.green);

# ----------------------------------------------------------

# smooth out price movements with an average
def pr = Average( close, 3);
def prup = ( pr > pr[1] );
def prdwn = ( pr < pr[1] );

# prup , prdwn , are avgs
def buy = (t and prup);
def sell = (t and prdwn);

plot buyx = if buy then sqzper else na;
buyx.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
buyx.SetDefaultColor(Color.green);
buyx.setlineweight(2);
buyx.hidebubble();

plot sellx = if sell then sqzper else na;
sellx.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);
sellx.SetDefaultColor(Color.red);
sellx.setlineweight(2);
sellx.hidebubble();

# ---------------------------------------------
# to make this a scan,
#   change all plots to def and add # to plot parameter lines
# the enable this line
#   plot buy2 = buy;

# ----------------------------------------------------------
# test stuff
#input test5_after_sqz = no;
#addchartbubble(test5_after_sqz, 0, after_sqz, color.cyan, yes);
#addchartbubble(t, (sqzper * 0.4), bn, color.cyan, no);
#


yqfbSzn.jpg
 
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Solution
halcyonguy said:
this is a lower study, that uses BollingerBandwidth , bandwidth data
...1. look for bandwidth staying below the % min number (10), for x bars {30)
...2. followed by increasing bandwidth for x bars (3)
...3. draw a vertical green line, on the first bar of #2
...4. draw arrows when #3 happens, based on price movement.


i don't scan, so i don't make scans.
to make this a scan,
...change all plots to def and add # to plot parameter code lines
.then remove the # from this line, at the end of code
...# plot buy2 = buy;


Code: 
# bband_sqz_out_01

#==============================

def na = double.nan;
def bn = barnumber();

#=================================
# BollingerBandwidth
# TD Ameritrade IP Company, Inc. (c) 2008-2021
declare lower;
input averageType = AverageType.SIMPLE;
def price = close;
def displace = 0;
input length = 20;
input Num_Dev_Dn = -2.0;
input Num_Dev_Up = 2.0;
input BulgeLength = 150;
input SqueezeLength = 150;

def upperBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).UpperBand;
def lowerBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).LowerBand;
def midLine = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).MidLine;

plot Bandwidth = (upperBand - lowerBand) / midLine * 100;
Bandwidth.SetDefaultColor(GetColor(1));

input show_bulge_squeeze_lines = no;
plot Bulge = if show_bulge_squeeze_lines then Highest(Bandwidth, BulgeLength) else na;
Bulge.SetDefaultColor(GetColor(8));
Bulge.SetStyle(Curve.SHORT_DASH);
plot Squeeze = if show_bulge_squeeze_lines then Lowest(Bandwidth, SqueezeLength) else na;
Squeeze.SetDefaultColor(GetColor(8));
Squeeze.SetStyle(Curve.SHORT_DASH);
#==================================
#def bbb = BollingerBandwidth().Bandwidth;
def bbb = Bandwidth;
#---------------------------------

# draw a reference line
plot z0 = 0;
z0.setdefaultcolor(color.gray);

# a % number, that bandwidth has to stay under, to be considered in a squeeze
input squeeze_max_percent = 10;
def sqzper = squeeze_max_percent;

# qty of consecutive bars, to define a squeeze
input squeeze_min_bars = 30;
def sqzb = squeeze_min_bars;

# qty of bars after a squeeze, of increasing bandwidth, to define a breakout
input post_sqz_rising_bars = 3;
def sqzrise = post_sqz_rising_bars;

# qty of bars in series +1
def series_bars = (sqzb + sqzrise + 1);

input show_labels = yes;
addlabel(show_labels, "a yellow line, when bandwidth is < " + squeeze_max_percent + "%.", color.yellow);
addlabel(show_labels, "a white dot, in a squeeze. after " + squeeze_min_bars + " bars are < " + squeeze_max_percent + "%." , color.white);
addlabel(show_labels, "a green dot, after " + post_sqz_rising_bars + " rising bars, after a squeeze" , color.green);

#---------------------------------------------------------

# draw a line at the percent level , when bandwidth is < squeeze_max_percent
def sqzbar = (bbb < sqzper);
input show_sqz_bars = yes;
def v2 = sqzper;
plot z2 = if ( show_sqz_bars and sqzbar ) then v2 else na;
z2.SetDefaultColor(Color.yellow);
z2.hidebubble();

# ----------------------------------------------------------

# draw points under the min percent line,  after the squeeze_min_bars have passed

# set a var to 1 if a squeeze, the past x bars (30) were < the % min (10)
def sqz = if Sum( sqzbar, squeeze_min_bars) ==  squeeze_min_bars then 1 else 0;

def v3 = (sqzper * 0.8);
input show_sqzs = yes;
plot z3 = if ( show_sqzs and sqz ) then v3 else na;
z3.SetPaintingStrategy(PaintingStrategy.POINTS);
z3.SetDefaultColor(Color.white);
#z3.setlineweight(2);
z3.hidebubble();

# ----------------------------------------------------------

# check for 3 rising bars after a sqz
# put a comparison in a sum, to look for x increasing bars
def incr = bbb > bbb[1];

# find just the 1st sqz_out in a series
# if a sqz 3+1 bars ago, then did it rise for 3 bars in a row?
def after_sqz = if (sqz[sqzrise + 1] and ( Sum(incr, sqzrise) == sqzrise ) ) then 1 else 0;

def v4 = (sqzper * 0.6);
input show_sqz_rise = yes;
plot z4 = if ( show_sqz_rise and after_sqz ) then v4 else na;
z4.SetPaintingStrategy(PaintingStrategy.POINTS);
z4.SetDefaultColor(Color.green);
#z4.setlineweight(2);
z4.hidebubble();

# draw vertical line, 1st bar there is a sqz of 30 bars then a rise of 3 bars
def t = ( !after_sqz[1] and after_sqz );

#addverticalline( t, sqzb + " BAR SQUEEZE, " +  post_sqz_rising_bars + " RISING BARS" , color.green);
addverticalline( t, "-" , color.green);

# ----------------------------------------------------------

# smooth out price movements with an average
def pr = Average( close, 3);
def prup = ( pr > pr[1] );
def prdwn = ( pr < pr[1] );

# prup , prdwn , are avgs
def buy = (t and prup);
def sell = (t and prdwn);

plot buyx = if buy then sqzper else na;
buyx.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
buyx.SetDefaultColor(Color.green);
buyx.setlineweight(2);
buyx.hidebubble();

plot sellx = if sell then sqzper else na;
sellx.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);
sellx.SetDefaultColor(Color.red);
sellx.setlineweight(2);
sellx.hidebubble();

# ---------------------------------------------
# to make this a scan,
#   change all plots to def and add # to plot parameter lines
# the enable this line
#   plot buy2 = buy;

# ----------------------------------------------------------
# test stuff
#input test5_after_sqz = no;
#addchartbubble(test5_after_sqz, 0, after_sqz, color.cyan, yes);
#addchartbubble(t, (sqzper * 0.4), bn, color.cyan, no);
#


yqfbSzn.jpg
Click to expand...
Thank you very much. This worked very well when added as study on chart.
Your instructions to change this to scan were very simple and helped with no coding experience.
I changed plots to def and I think I commented out parameter lines but the scan didn't always show tickers that broke out!
Can you take a quick look to see I commented out right lines?
# bband_sqz_out_01

#==============================

def na = double.nan;
def bn = barnumber();

#=================================
# BollingerBandwidth
# TD Ameritrade IP Company, Inc. (c) 2008-2021
declare lower;
input averageType = AverageType.SIMPLE;
def price = close;
def displace = 0;
input length = 20;
input Num_Dev_Dn = -2.0;
input Num_Dev_Up = 2.0;
input BulgeLength = 150;
input SqueezeLength = 150;

def upperBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).UpperBand;
def lowerBand = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).LowerBand;
def midLine = BollingerBands(price, displace, length, Num_Dev_Dn, Num_Dev_Up, averageType).MidLine;

plot Bandwidth = (upperBand - lowerBand) / midLine * 100;
Bandwidth.SetDefaultColor(GetColor(1));

input show_bulge_squeeze_lines = no;
plot Bulge = if show_bulge_squeeze_lines then Highest(Bandwidth, BulgeLength) else na;
Bulge.SetDefaultColor(GetColor(8));
Bulge.SetStyle(Curve.SHORT_DASH);
plot Squeeze = if show_bulge_squeeze_lines then Lowest(Bandwidth, SqueezeLength) else na;
Squeeze.SetDefaultColor(GetColor(8));
Squeeze.SetStyle(Curve.SHORT_DASH);
#==================================
#def bbb = BollingerBandwidth().Bandwidth;
def bbb = Bandwidth;
#---------------------------------

# draw a reference line
Def z0 = 0; #replace def with plot to see this on chart as a study
#z0.setdefaultcolor(color.gray);

# a % number, that bandwidth has to stay under, to be considered in a squeeze
input squeeze_max_percent = 10;
def sqzper = squeeze_max_percent;

# qty of consecutive bars, to define a squeeze
input squeeze_min_bars = 30;
def sqzb = squeeze_min_bars;

# qty of bars after a squeeze, of increasing bandwidth, to define a breakout
input post_sqz_rising_bars = 3;
def sqzrise = post_sqz_rising_bars;

# qty of bars in series +1
def series_bars = (sqzb + sqzrise + 1);

input show_labels = yes;
addlabel(show_labels, "a yellow line, when bandwidth is < " + squeeze_max_percent + "%.", color.yellow);
addlabel(show_labels, "a white dot, in a squeeze. after " + squeeze_min_bars + " bars are < " + squeeze_max_percent + "%." , color.white);
addlabel(show_labels, "a green dot, after " + post_sqz_rising_bars + " rising bars, after a squeeze" , color.green);

#---------------------------------------------------------

# draw a line at the percent level , when bandwidth is < squeeze_max_percent
def sqzbar = (bbb < sqzper);
input show_sqz_bars = yes;
def v2 = sqzper;
def z2 = if ( show_sqz_bars and sqzbar ) then v2 else na; #replace def with plot to see this on chart as a study
#z2.SetDefaultColor(Color.yellow);
#z2.hidebubble();

# ----------------------------------------------------------

# draw points under the min percent line, after the squeeze_min_bars have passed

# set a var to 1 if a squeeze, the past x bars (30) were < the % min (10)
def sqz = if Sum( sqzbar, squeeze_min_bars) == squeeze_min_bars then 1 else 0;

def v3 = (sqzper * 0.8);
input show_sqzs = yes;
def z3 = if ( show_sqzs and sqz ) then v3 else na; #replace def with plot to see this on chart as a study
# z3.SetPaintingStrategy(PaintingStrategy.POINTS);
#z3.SetDefaultColor(Color.white);
#z3.setlineweight(2);
#z3.hidebubble();

# ----------------------------------------------------------

# check for 3 rising bars after a sqz
# put a comparison in a sum, to look for x increasing bars
def incr = bbb > bbb[1];

# find just the 1st sqz_out in a series
# if a sqz 3+1 bars ago, then did it rise for 3 bars in a row?
def after_sqz = if (sqz[sqzrise + 1] and ( Sum(incr, sqzrise) == sqzrise ) ) then 1 else 0;

def v4 = (sqzper * 0.6);
input show_sqz_rise = yes;
def z4 = if ( show_sqz_rise and after_sqz ) then v4 else na; #replace def with plot to see this on chart as a study
#z4.SetPaintingStrategy(PaintingStrategy.POINTS);
#z4.SetDefaultColor(Color.green);
#z4.setlineweight(2);
#z4.hidebubble();

# draw vertical line, 1st bar there is a sqz of 30 bars then a rise of 3 bars
def t = ( !after_sqz[1] and after_sqz );

#addverticalline( t, sqzb + " BAR SQUEEZE, " + post_sqz_rising_bars + " RISING BARS" , color.green);
addverticalline( t, "-" , color.green);

# ----------------------------------------------------------

# smooth out price movements with an average
def pr = Average( close, 3);
def prup = ( pr > pr[1] );
def prdwn = ( pr < pr[1] );

# prup , prdwn , are avgs
def buy = (t and prup);
def sell = (t and prdwn);

def buyx = if buy then sqzper else na; #replace def with plot to see this on chart as a study
#buyx.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
#buyx.SetDefaultColor(Color.green);
#buyx.setlineweight(2);
#buyx.hidebubble();

def sellx = if sell then sqzper else na; #replace def with plot to see this on chart as a study
#sellx.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);
#sellx.SetDefaultColor(Color.red);
#sellx.setlineweight(2);
#sellx.hidebubble();

# ---------------------------------------------
# to make this a scan,
# change all plots to def and add # to plot parameter lines
# the enable this line
plot buy2 = buy;

# ----------------------------------------------------------
# test stuff
#input test5_after_sqz = no;
#addchartbubble(test5_after_sqz, 0, after_sqz, color.cyan, yes);
#addchartbubble(t, (sqzper * 0.4), bn, color.cyan, no);
#
 
Upvote 0 Downvote
The ARC said:
I am trying to build a scanner to scan all optionable assets that match Bollinger volatility breakout method per the textbook.

General concept is that when Bollinger bandwidth contracts, the squeeze(low volatility) becomes a precursor for a breakout. Textbook recommends a lookback of 180 periods.

What I am trying to build is periods of low volatility (say bandwidth <10% in more than 30 time period) followed by increasing bandwidth suggesting a breakout. Can anyone assist with a script?

I tried to build something where BollingerBandwidth("squeeze length" = 50)."Bandwidth" from 1 bars ago is less than or equal to BollingerBandwidth("squeeze length" = 50)."Squeeze" from 1 bars ago but not exactly sure if its giving me anything more than assets going in a squeeze rather than assets that were in a squeeze and just breaking out.

In the example below, the rectangle shows the squeeze with bandwidth almost flatline then the breakdown. A scanner than checks for the flatline and the breakout/breakdown will be very helpful.

40dN7lx.png
Click to expand...
All you need is a Momentum 12 period which is already think or swim to tell you the direction of the breakout in that squeeze area.
 
Upvote 0 Downvote
https://imgur.com/a/C3o39CK
jeffc said:
All you need is a Momentum 12 period which is already think or swim to tell you the direction of the breakout in that squeeze area.
Click to expand...
I am looking at the Momentum 12 which is a lower indicator... TY for sharing it. I have dragged it into the price/candle window and am wondering- does anyone know if there is there a way to render it as a cloud- green above price action and red below price action?
 
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