Strategy · Pine Script v5 · On the chart

Bollinger Breakout

by hasnocool

This strategy buys when price breaks above the upper Bollinger Band and exits by trailing a stop on the lower band.

View on GitHub

GitHub stars106on the repository
Pine versionv5runs as is
Lines of code93
Settings17inputs
LicenceGPL-3.0
Last update2 years ago18 Sep 2024

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

93 lines of Pine Script v5 from Bollinger Band Breakout.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

Bollinger Band Breakout.pine
//@version=5
// Revision:        1
// Author:          @millerrh
// Strategy:  
//      Entry: Buy when price breaks out of upper Bollinger Band
//      Exit: Trail a stop with the lower Bollinger Band 
// Conditions/Variables:
//    1. Can add a filter to only take setups that are above a user-defined moving average on current timeframe and/or longer timeframe (helps avoid trading counter trend) 
//    2. Manually configure which dates to back test
//    3. User-Configurable Bollinger Band Settings
//    4. Optionally use a tighter initial stop level.  Once Bollinger Band catches up, trail with lower Bollinger Band to give more breathing room.
// strategy('Donchian Breakout', overlay=true, initial_capital=100000, currency='USD', default_qty_type=strategy.percent_of_equity, calc_on_every_tick = true,
//   default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1)
strategy('Bollinger Breakout', overlay=true, initial_capital=100000, currency='USD', default_qty_type=strategy.percent_of_equity,
  default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.0, calc_on_order_fills=true)
// === BACKTEST RANGE ===
Start = input.time(defval = timestamp("01 Jan 2019 06:00 +0000"), title = "Backtest Start Date", group = "backtest window")
Finish = input.time(defval = timestamp("01 Jan 2100 00:00 +0000"), title = "Backtest End Date", group = "backtest window")
// == INPUTS ==
// Bollinger Band Inputs
bbLength = input.int(20, minval=1, group = "Bollinger Band Settings", title="Bollinger Band Length",
  tooltip = "Bollinger Band moving average length.")
bbMultTop = input.float(2.0, minval=0.001, maxval=50, title="Standard Deviation (Top)")
bbMultBot = input.float(2.0, minval=0.001, maxval=50, title="Standard Deviation (Bottom)")
useTightStop = input.bool(title='Use Fixed Percentage for Initial Stop?', defval=false, group = "order entry",
  tooltip = "'Keep your losers small and let winners run' is the saying.  This will allow you to use a tight initial stop
  until the lower Bollinger Band catches up.")
percStop = input.int(title="Stop", defval=8, group = "order entry", inline = "perc")
trigInput = input.string(title='Execute Trades On...', defval='Wick', options=['Wick', 'Close'], group = "order entry",
  tooltip = "Useful for comparing standing stop orders at the Bollinger Band boundary (executing on the wick) vs. waiting for candle closes prior to taking action")
// Moving Average Filtering Inputs
useMaFilter = input.bool(title='Use Moving Average for Filtering (Current Timeframe)?', defval=false, group = "moving average filtering",
  tooltip = "Signals will be ignored when price is under this moving average.  The intent is to keep you out of bear periods and only buying when 
             price is showing strength.")
maType = input.string(defval='SMA', options=['EMA', 'SMA'], title='MA Type For Filtering', group = "moving average filtering")
maLength = input.int(defval=50, title="Moving Average:    Length", minval=1, group = "moving average filtering", inline = "1ma")
ma1Color = input.color(color.new(color.green, 50), title = " Color", group = "moving average filtering", inline = "1ma")
useMaFilter2 = input.bool(title='Use Moving Average for Filtering (High Timeframe)?', defval=false, group = "moving average filtering")
tfSet = input.timeframe(defval="D", title="Timeframe of Moving Average", group = "moving average filtering",
  tooltip = "Allows you to set a different time frame for a moving average filter.  Trades will be ignored when price is under this moving average.
  The idea is to keep your eye on the larger moves in the market and stay on the right side of the longer term trends and help you be pickier about 
  the stocks you trade.")
ma2Type = input.string(defval='SMA', options=['EMA', 'SMA'], title='MA Type For Filtering', group = "moving average filtering")
ma2Length = input.int(defval=50, title="Moving Average:    Length", minval=1, group = "moving average filtering", inline = "2ma")
ma2Color = input.color(color.new(color.white, 50), title = " Color", group = "moving average filtering", inline = "2ma")
// === THE BOLLINGER BAND ===
// Logic
bbBasis = ta.sma(close, bbLength)
bbUpper = bbBasis + bbMultTop * ta.stdev(close, bbLength)
bbLower = bbBasis - bbMultBot * ta.stdev(close, bbLength)
// Plotting
plot(bbBasis, "Basis", color=color.new(color.white, 50))
p1 = plot(bbUpper, color=color.new(color.blue, 50), linewidth=1, title='Upper Bollinger Band')
p2 = plot(bbLower, color=color.new(color.blue, 50), linewidth=1, title='Lower Bollinger Band')
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
// == FILTERING LOGIC ==
// Declare function to be able to swap out EMA/SMA
ma(maType, src, length) =>
    maType == 'EMA' ? ta.ema(src, length) : ta.sma(src, length)  //Ternary Operator (if maType equals EMA, then do ema calc, else do sma calc)
maFilter = ma(maType, close, maLength)
maFilter2 = request.security(syminfo.tickerid, tfSet, ma(ma2Type, close, ma2Length))
// Plotting
plot(useMaFilter ? maFilter : na, title='Trend Filter MA - CTF', color=ma1Color, linewidth=2, style=plot.style_line)
plot(useMaFilter2 ? maFilter2 : na, title='Trend Filter MA - HTF', color=ma2Color, linewidth=2, style=plot.style_line)
// == ENTRY AND EXIT CRITERIA ==
// Trigger stop based on candle close or High/Low (i.e. Wick)
trigResistance = trigInput == 'Close' ? close : trigInput == 'Wick' ? high : na
trigSupport = trigInput == 'Close' ? close : trigInput == 'Wick' ? low : na
buySignal = trigResistance >= bbUpper 
buyConditions = (useMaFilter ? bbUpper > maFilter : true) and
  (useMaFilter2 ? bbUpper > maFilter2 : true) and
  time > Start and time < Finish
  
// == STOP AND PRICE LEVELS ==
// Configure initial stop level
inPosition = strategy.position_size > 0
stopLevel = strategy.position_avg_price - (strategy.position_avg_price * percStop/100)
posStop = stopLevel > bbLower ? stopLevel : bbLower
// Check if using stop vs. not
stop = useTightStop ? posStop : bbLower
plot(inPosition ? stop : na, style=plot.style_linebr, color=color.new(color.red, 40), linewidth = 1, title = "Stop Levels", trackprice=false)
sellSignal = trigSupport <= stop
// == STRATEGY ENTRIES & EXITS ==
// This string of code enters and exits at the candle close
if trigInput == 'Close'
    strategy.entry('Long', strategy.long, when=buyConditions and buySignal)
    strategy.close('Long', when=sellSignal)
// This string of code enters and exits at the wick (i.e. with pre-set stops)
if trigInput == 'Wick'
    strategy.entry('Long', strategy.long, stop=bbUpper, when=buyConditions)
    strategy.exit('Exit Long', from_entry='Long', stop=stop)
strategy.cancel('Long',when= not(buyConditions)) // Resets stop level once buyConditions aren't true anymore
Expand (114 lines)

Overview

Trades can execute on a wick or a candle close, and an optional fixed-percentage stop can set a tighter initial exit until the lower band catches up. Optional simple or exponential moving averages on the chart timeframe and a higher timeframe can ignore entries when price is below them. Band length, separate top and bottom deviations, and a backtest date window are adjustable. It draws on the price chart and sizes positions as a percent of equity.

Details

Published by

hasnocool on GitHub

Type

Strategy, Pine Script v5

Draws

On the price chart

Category

Breakout, Volatility & bands, Moving averages

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Backtest Start Datetimetimestamp("01 Jan 2019 06:00 +0000")Start
Backtest End Datetimetimestamp("01 Jan 2100 00:00 +0000")Finish
Bollinger Band Lengthint20bbLength
Standard Deviation (Top)float2.0bbMultTop
Standard Deviation (Bottom)float2.0bbMultBot
Use Fixed Percentage for Initial Stop?boolfalseuseTightStop
Stopint8percStop
Execute Trades On...stringWicktrigInput
Use Moving Average for Filtering (Current Timeframe)?boolfalseuseMaFilter
MA Type For FilteringstringSMAmaType
Moving Average:    Lengthint50maLength
 Colorcolorcolor.new(color.green, 50)ma1Color
Show all 17 settings
SettingTypeDefaultVariable
Use Moving Average for Filtering (High Timeframe)?boolfalseuseMaFilter2
Timeframe of Moving AveragetimeframeDtfSet
MA Type For FilteringstringSMAma2Type
Moving Average:    Lengthint50ma2Length
 Colorcolorcolor.new(color.white, 50)ma2Color
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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