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Strategy vault / Trend following

Supertrend Bollinger Bands Strategy

The Supertrend Bollinger Bands strategy is a common trailing stop indicator strategy based on the ATR (Average True Range). This strategy uses the Supertrend indicator to draw bullish and bearish trend channels on…

Author
ChaoZhang
Complexity
Intermediate · 64 lines
Parameters
13
Backtest bar
1d · swing
Tested on
BTC/USDT · futures

IMG

Overview

The Supertrend Bollinger Bands strategy is a common trailing stop indicator strategy based on the ATR (Average True Range). This strategy uses the Supertrend indicator to draw bullish and bearish trend channels on the chart and generates trading signals in combination with Bollinger Bands.

Strategy Logic

The strategy uses two main parameters - period and multiplier, with default values of 10 and 3 respectively, to calculate the Supertrend lines. The specific calculation formula is as follows:

Upper Line: Close - (Multiplier x ATR) Lower Line: Close + (Multiplier x ATR)

When the closing price is higher than the previous upper line, it is considered a bullish signal. When the closing price breaks below the previous lower line, it is considered a bearish signal.

The strategy also incorporates the Bollinger Bands indicator, using the middle band as the baseline, and the upper and lower bands located two standard deviations away from it. A buy signal is generated when the price breaks above the middle band from below. A sell signal is generated when the price breaks below the middle band from above.

Advantages

  1. Use ATR to dynamically calculate volatility, quickly capturing market trend changes
  2. Combining Bollinger Bands makes trading signals more reliable
  3. Customizable parameters suit different market environments

Risks

  1. Prone to false signals in sideways markets
  2. Improper parameter settings may cause over-trading
  3. Unable to determine trend reversal points, with certain lag

Optimization Directions

  1. Optimize ATR period parameter to reduce noise trades using filters
  2. Incorporate other indicators to determine support/resistance to reduce profit retracement probability
  3. Add position sizing rules to limit per trade loss

Summary

The Supertrend Bollinger Bands strategy integrates the strengths of multiple technical indicators and utilizes a dynamic trailing stop mechanism to effectively track market trends. This highly customizable strategy adapts well to different markets, making it a recommended breakout chasing strategy. However, risks like whipsaws and over-trading should be addressed by further optimizations to suit more complex market environments.

Parameters

NameDefaultWhat it controls
v_input_110ATR Period
v_input_2_hl20Source: hl2 | high | low | open | close | hlc3 | hlcc4 | ohlc4
v_input_33ATR Multiplier
v_input_4trueChange ATR Calculation Method ?
v_input_5falseShow Buy/Sell Signals ?
v_input_6trueHighlighter On/Off ?
v_input_7trueBar Coloring On/Off ?
v_input_89From Month
v_input_9trueFrom Day
v_input_102018From Year
v_input_11trueTo Month
v_input_12trueTo Day
v_input_139999To Year

Source Pine Script

/*backtest
start: 2022-11-24 00:00:00
end: 2023-11-30 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © KivancOzbilgic


//@version=4
strategy("SuperTrend STRATEGY", overlay=true)
Periods = input(title="ATR Period", type=input.integer, defval=10)
src = input(hl2, title="Source")
Multiplier = input(title="ATR Multiplier", type=input.float, step=0.1, defval=3.0)
changeATR= input(title="Change ATR Calculation Method ?", type=input.bool, defval=true)
showsignals = input(title="Show Buy/Sell Signals ?", type=input.bool, defval=false)
highlighting = input(title="Highlighter On/Off ?", type=input.bool, defval=true)
barcoloring = input(title="Bar Coloring On/Off ?", type=input.bool, defval=true)
atr2 = sma(tr, Periods)
atr= changeATR ? atr(Periods) : atr2
up=src-(Multiplier*atr)
up1 = nz(up[1],up)
up := close[1] > up1 ? max(up,up1) : up
dn=src+(Multiplier*atr)
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? min(dn, dn1) : dn
trend = 1
trend := nz(trend[1], trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
upPlot = plot(trend == 1 ? up : na, title="Up Trend", style=plot.style_linebr, linewidth=2, color=color.green)
buySignal = trend == 1 and trend[1] == -1
plotshape(buySignal ? up : na, title="UpTrend Begins", location=location.absolute, style=shape.circle, size=size.tiny, color=color.green, transp=0)
plotshape(buySignal and showsignals ? up : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
dnPlot = plot(trend == 1 ? na : dn, title="Down Trend", style=plot.style_linebr, linewidth=2, color=color.red)
sellSignal = trend == -1 and trend[1] == 1
plotshape(sellSignal ? dn : na, title="DownTrend Begins", location=location.absolute, style=shape.circle, size=size.tiny, color=color.red, transp=0)
plotshape(sellSignal and showsignals ? dn : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0)
longFillColor = highlighting ? (trend == 1 ? color.green : color.white) : color.white
shortFillColor = highlighting ? (trend == -1 ? color.red : color.white) : color.white
fill(mPlot, upPlot, title="UpTrend Highligter", color=longFillColor)
fill(mPlot, dnPlot, title="DownTrend Highligter", color=shortFillColor)
FromMonth = input(defval = 9, title = "From Month", minval = 1, maxval = 12)
FromDay   = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
FromYear  = input(defval = 2018, title = "From Year", minval = 999)
ToMonth   = input(defval = 1, title = "To Month", minval = 1, maxval = 12)
ToDay     = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
ToYear    = input(defval = 9999, title = "To Year", minval = 999)
start     = timestamp(FromYear, FromMonth, FromDay, 00, 00)  
finish    = timestamp(ToYear, ToMonth, ToDay, 23, 59)       
window()  => time >= start and time <= finish ? true : false
longCondition = buySignal
if (longCondition)
    strategy.entry("BUY", strategy.long)
shortCondition = sellSignal
if (shortCondition)
    strategy.entry("SELL", strategy.short)
buy1= barssince(buySignal)
sell1 = barssince(sellSignal)
color1 = buy1[1] < sell1[1] ? color.green : buy1[1] > sell1[1] ? color.red : na
barcolor(barcoloring ? color1 : na)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-01. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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