Trend Tracking Stop Loss Take Profit Strategy

This is a trend tracking strategy that uses Bollinger Bands to determine trend and ATR to set stop loss and take profit. It first judges the market trend, draws a trend line, and sets stop loss and take profit when…

Pine ScriptTrend following Breakout SMA Bollinger Bands ATR

Author: ChaoZhang
Complexity: Starter · 79 lines
Parameters: 5
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

Calculate the upper and lower rails of Bollinger Bands.
Judge if the closing price is above the upper rail or below the lower rail. If yes, judge it as a trending market, bullish or bearish respectively.
If it is a trending market, calculate the trend line. The trend line is based on the lowest price minus the ATR value (bull market) or the highest price plus the ATR value (bear market).
If it is not a trending market, keep the trend line the same as previous bar.
Compare the trend line to determine the trend direction. Uptrend for bullish, downtrend for bearish.
Generate buy/sell signals when trend line direction changes.
Set stop loss and take profit: fixed stop loss distance is 100 times of entry price; floating take profit is 1.1 times (bull) or 0.9 times (bear) of entry price.

Advantage Analysis

Can determine market trend, avoid false breakout trades.
Set trend line to avoid being trapped.
Reasonable stop loss and take profit settings to control risk while ensuring profit.

Risk Analysis

Improper parameter settings may miss trading opportunities.
Bollinger Bands has a high probability of judging wrongly in range-bound markets.
Stop loss being too close may get stopped out easily.

Optimization Directions

Optimize Bollinger Bands parameters for different products.
Optimize the trend line calculation methods, e.g. introducing other indicators.
Test and optimize the stop loss and take profit parameter settings.

Conclusion

This is a strategy that uses Bollinger Bands to determine trend and sets stop loss and take profit based on trend line. The core advantages are clear trend judgment, reasonable stop loss and take profit settings to effectively control risks. The main risks come from Bollinger Bands' wrong trend judgment and stop loss being too close. Future optimization directions include parameter optimization, trend line calculation optimization and stop loss take profit optimization.

Parameters

Name	Default	What it controls
v_input_1	21	BB Period
v_input_2	true	BB Deviations
v_input_3	true	ATR Filter
v_input_4	5	ATR Period
v_input_5	false	Hide Labels

Source Pine Script

/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © zhuenrong

// © Dreadblitz
//@version=4
strategy(shorttitle="FLI", title="Follow Line Indicator", overlay=true)
// 
BBperiod      = input(defval = 21,     title = "BB Period",    type = input.integer, minval = 1)
BBdeviations  = input(defval = 1.00,     title = "BB Deviations",    type = input.float, minval = 0.1, step=0.05)
UseATRfilter  = input(defval = true, title = "ATR Filter",  type = input.bool)
ATRperiod     = input(defval = 5,     title = "ATR Period",    type = input.integer, minval = 1)
hl            = input(defval = false, title = "Hide Labels",  type = input.bool)
//
BBUpper=sma (close,BBperiod)+stdev(close, BBperiod)*BBdeviations
BBLower=sma (close,BBperiod)-stdev(close, BBperiod)*BBdeviations
//
TrendLine = 0.0
iTrend = 0.0
buy = 0.0
sell = 0.0
//
BBSignal = close>BBUpper? 1 : close<BBLower? -1 : 0
// 
if BBSignal == 1 and UseATRfilter == 1
    TrendLine:=low-atr(ATRperiod)
    if TrendLine<TrendLine[1] 
        TrendLine:=TrendLine[1]
if BBSignal == -1 and UseATRfilter == 1
    TrendLine:=high+atr(ATRperiod)
    if TrendLine>TrendLine[1]
        TrendLine:=TrendLine[1]
if BBSignal == 0 and UseATRfilter == 1
    TrendLine:=TrendLine[1]
//
if BBSignal == 1 and UseATRfilter == 0
    TrendLine:=low
    if TrendLine<TrendLine[1] 
        TrendLine:=TrendLine[1]
if BBSignal == -1 and UseATRfilter == 0
    TrendLine:=high
    if TrendLine>TrendLine[1]
        TrendLine:=TrendLine[1]
if BBSignal == 0 and UseATRfilter == 0
    TrendLine:=TrendLine[1]
//
iTrend:=iTrend[1]
if TrendLine>TrendLine[1] 
    iTrend:=1
if TrendLine<TrendLine[1] 
    iTrend:=-1
//
buy:=iTrend[1]==-1 and iTrend==1 ? 1 : na
sell:=iTrend[1]==1 and iTrend==-1? 1 : na
//
plot(TrendLine, color=iTrend > 0?color.blue:color.red ,style=plot.style_line,linewidth=2,transp=0,title="Trend Line") 
plotshape(buy == 1 and hl == false? TrendLine-atr(8) :na, text='?', style= shape.labelup, location=location.absolute, color=color.blue, textcolor=color.white, offset=0, transp=0,size=size.auto)
plotshape(sell == 1 and hl == false ?TrendLine+atr(8):na, text='?', style=shape.labeldown, location=location.absolute, color=color.red, textcolor=color.white, offset=0, transp=0,size=size.auto)
//
alertcondition(sell == 1 ,title="Sell",message="Sell")
alertcondition(buy == 1 ,title="Buy",message="Buy")
alertcondition(buy == 1 or sell == 1 ,title="Buy/Sell",message="Buy/Sell")
if (buy==1)
    strategy.entry("Buy", strategy.long)
if (sell==1)
    strategy.entry("Sell", strategy.short)
// === Stop LOSS ===

if strategy.position_size>0
    strategy.exit("Stop Loss/Profit Long","Buy", stop=strategy.position_avg_price*100, limit=strategy.position_avg_price*1.1)
if strategy.position_size<0
    strategy.exit("Stop Loss/Profit Short","Sell", stop=strategy.position_avg_price*100, limit=strategy.position_avg_price*0.9)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-01-24. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more

/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Trend-Tracking-Stop-Loss-Take-Profit-Strategy.md

npx agenkit install engineering-kit in your project
Paste the command into your agent and approve each phase
Get tests, backtest, risk controls and a paper-trading switch

Get AgenKit How /agenkit works

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.