Bollinger Bands Breakout Trading Strategy

This strategy is designed based on the Bollinger Bands indicator. It goes long when the price breaks through the upper band and goes short when the price breaks through the lower band. It belongs to the trend…

Pine ScriptBreakout Mean reversion Trend following SMA Bollinger Bands Pivots / S&R

Author: ChaoZhang
Complexity: Intermediate · 69 lines
Parameters: 8
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

Calculate the middle band, upper band and lower band of Bollinger Bands
When the closing price breaks through the upper band, go long
When the closing price breaks through the lower band, go short
Exit rule: close long position when price breaks through middle band, close short position when price breaks through middle band

This strategy uses Bollinger Bands to determine the fluctuation range and trend direction of the market. When the price breaks through the upper or lower bands of Bollinger Bands, it is considered as a trend reversal signal for entry. The area around the middle band is used as the stop loss position. Exit positions when the price breaks through the middle band.

Advantage Analysis

Use Bollinger Bands indicator to determine market trend and support/resistance levels
High probability when breakout of Bollinger Bands
Clear entry and exit rules

Risk Analysis

Risk of false breakout signals from Bollinger Bands, which could be short-term price fluctuations
Larger stop loss when huge price swings

Solutions:

Combine with other indicators to confirm the trend
Adjust parameters to expand Bollinger Bands range

Optimization Directions

Combine with trend indicators to avoid unnecessary reverse trading
Dynamically adjust Bollinger Bands parameters to optimize parameter size

Summary

This strategy uses the Bollinger Bands indicator to determine price trend and support/resistance levels. It enters at Bollinger Bands breakout points and sets stop loss at the middle band. The strategy logic is simple and clear, easy to implement. It can be optimized by adjusting parameters or combining with other indicators, works well in trending markets.

Parameters

Name	Default	What it controls
v_input_int_1	true	From Month
v_input_int_2	true	From Day
v_input_int_3	1972	From Year
v_input_int_4	true	To Month
v_input_int_5	true	To Day
v_input_int_6	9999	To Year
v_input_int_7	51	Comprimento
v_input_float_1	1.1	Multiplicador

Source Pine Script

/*backtest
start: 2024-01-21 00:00:00
end: 2024-02-20 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("FFFDBTC", overlay=true,initial_capital = 100,commission_type =strategy.commission.percent,commission_value= 0.15,default_qty_value = 100,default_qty_type = strategy.percent_of_equity)
// === INPUT BACKTEST RANGE ===
FromMonth = input.int(defval=1, title="From Month", minval=1, maxval=12)
FromDay = input.int(defval=1, title="From Day", minval=1, maxval=31)
FromYear = input.int(defval=1972, title="From Year", minval=1972)
ToMonth = input.int(defval=1, title="To Month", minval=1, maxval=12)
ToDay = input.int(defval=1, title="To Day", minval=1, maxval=31)
ToYear = input.int(defval=9999, title="To Year", minval=2010)

// === FUNCTION EXAMPLE === 
start = timestamp(FromYear, FromMonth, FromDay, 00, 00)  // backtest start window
finish = timestamp(ToYear, ToMonth, ToDay, 23, 59)  // backtest finish window
window() => true
// Definindo tamanho da posição
position_size = strategy.equity
// Definir parâmetros das Bandas de Bollinger
length = input.int(51, "Comprimento")
mult = input.float(1.1, "Multiplicador")

// Calcular as Bandas de Bollinger
basis = ta.sma(close, length)
dev = mult * ta.stdev(close, length)
upper = basis + dev
lower = basis - dev
// Definir condições de entrada e saída
entrada_na_venda = low < lower
saida_da_venda = high > lower and strategy.position_size < 0
entrada_na_compra = high > upper
saida_da_compra = low < upper and strategy.position_size > 0
shortCondition = close[1] < lower[1] and close > lower and close < basis
longCondition = close[1] > upper[1] and close < upper and close > basis

// Entrar na posição longa se a condição longCondition for verdadeira
if ((entrada_na_compra) and window() )
    strategy.entry("Buy", strategy.long)
//saida da compra
if (saida_da_compra)
    strategy.close("Buy")
//entrada na venda
if ((entrada_na_venda) and window() )
    strategy.entry("Sell", strategy.short)
//saida da venda
if (saida_da_venda)
    strategy.close("Sell")
if ((longCondition) and window())
    strategy.entry("Long", strategy.long)

// Entrar na posição curta se a condição shortCondition for verdadeira
if ((shortCondition) and window())
    strategy.entry("Short", strategy.short)

// Definir a saída da posição

strategy.exit("Exit_Long", "Long", stop=ta.sma(close, length), when = close >= basis)
strategy.exit("Exit_Short", "Short", stop=ta.sma(close, length), when = close <= basis)

// Desenhar as Bandas de Bollinger no gráfico
plot(basis, "Média", color=#2962FF, linewidth=2)
plot(upper, "Upper", color=#BEBEBE, linewidth=2)
plot(lower, "Lower", color=#BEBEBE, linewidth=2)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-02-21. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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