Triple BB Bands Breakout with RSI Strategy

This strategy combines Bollinger Bands and RSI indicators to generate trading signals. It monitors whether the closing prices of three candlesticks break through the upper or lower bands at the same time, and…

Pine ScriptBreakout Mean reversion Trend following RSI MACD SMA Bollinger Bands ATR Volume

Author: ChaoZhang
Complexity: Starter · 79 lines
Parameters: 6
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Principle

The strategy is mainly based on the following principles:

Use 20-period Bollinger Bands, consider issuing trading signals when prices break through the upper or lower bands on close
Require three candlesticks to break through at the same time to avoid false breakouts
Combine the Vortex indicator, when strongly overbought VIP>1.25, when strongly oversold VIM>1.25, filter out signals
Combine the RSI indicator to determine overbought and oversold, consider going short when RSI breaks through 70, and consider going long when RSI breaks through 30
When the above conditions are met, long and short signals are generated

Advantage Analysis

The main advantages of this strategy are:

Triple BB bands filter out false breakouts and ensure the reliability of breakouts
The Vortex indicator judges the strength of the market and avoids unfavorable trading in the market
The RSI indicator judges the overbought and oversold area, combined with the Bollinger Bands indicator for entry
The combination of multiple indicators comprehensively judges the market situation, and the signal reliability is relatively high

Risk Analysis

The strategy also has some risks:

Bollinger Bands indicator is very sensitive to parameters, length and StdDev multiplier need to be optimized
The Vortex indicator is also quite sensitive to the cycle parameter, which needs to be adjusted for different markets
The RSI indicator is prone to divergence and may also miss trends
If there is disagreement in the judgment of the three indicators, it will be impossible to enter, missing some opportunities

Risk control measures include:

Optimize parameters and use parameters with the highest win rate in backtesting
Combine other indicators, such as trading volume filtering
Appropriately relax the indicator judgment logic to prevent missing good opportunities

Optimization Directions

The strategy can be optimized in the following aspects:

Optimize the length and StdDev multiplier of Bollinger Bands to find the optimal parameters
Optimize the cycle of the Vortex indicator to make it more suitable for different markets
Increase other indicators' judgment, such as trading volume, macd, etc., to enrich diversified signals
Adjust indicator judgment logic to prevent inability to enter due to indicator divergence
Increase stop loss strategy to control maximum loss per trade

Summary

This strategy combines multiple indicators for judgment. While ensuring signal reliability, it also has some problems. Through parameter optimization, enriched signal sources, adjusted judgment logic and stop loss, etc., the stability and profitability of the strategy can be further enhanced. It provides a good idea for quantitative trading.

Parameters

Name	Default	What it controls
v_input_1	20	Length
v_input_2	2	Multiplier
v_input_int_1	14	Period
v_input_3	14	RSI Length
v_input_4	70	Overbought Level
v_input_5	30	Oversold Level

Source Pine Script

/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 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/
// © Noway0utstorm

//@version=5
strategy(title='RSI + BB  over 3 bar+--- vortex0.71.3  ', shorttitle='NoWaytruongphuthinh', format=format.price, precision=4,overlay = true)

length = input(20, title="Length")
mult = input(2.0, title="Multiplier")
source = close

basis = ta.sma(source, length)
dev = mult * ta.stdev(source, length)

upperBand = basis + dev
lowerBand = basis - dev

isClosedBar = ta.change(time("15"))

var bool closeAboveUpperBand = false
var bool closeBelowLowerBand = false


// Vortex Indicator Settings
period_ = input.int(14, title='Period', minval=2)

VMP = math.sum(math.abs(high - low[1]), period_)
VMM = math.sum(math.abs(low - high[1]), period_)
STR = math.sum(ta.atr(1), period_)
VIP = VMP / STR
VIM = VMM / STR

//
lengthrsi = input(14, title="RSI Length")
overboughtLevel = input(70, title="Overbought Level")
oversoldLevel = input(30, title="Oversold Level")

sourcersi = close
rsiValue = ta.rsi(sourcersi, lengthrsi)

shouldShort = rsiValue > overboughtLevel
shouldLong = rsiValue < oversoldLevel




if bool(isClosedBar[1]) and bool(isClosedBar[2]) and bool(isClosedBar[3])

    if close[1] > upperBand[1] and close[2] > upperBand[2] and close[3] > upperBand[3] and VIP > 1.25 and VIM < 0.7 and rsiValue > overboughtLevel
        strategy.entry("Short", strategy.short)
        closeAboveUpperBand := false  // Reset the condition when entering a new Short position
    if close[1] < lowerBand[1] and close[2] < lowerBand[2] and close[3] < lowerBand[3] and VIP < 0.7 and VIM > 1.25 and rsiValue < oversoldLevel
        strategy.entry("Long", strategy.long)
        closeBelowLowerBand := false  // Reset the condition when entering a new Long position



if strategy.position_size > 0  // Check if there is an open Long position
    closeAboveUpperBand := close > upperBand  // Update the condition based on close price
    if closeAboveUpperBand
        strategy.close("Long",disable_alert=true)  // Close the Long position if close price is above upper band

if strategy.position_size < 0  // Check if there is an open Short position
    closeBelowLowerBand := close < lowerBand  // Update the condition based on close price
    if closeBelowLowerBand
        strategy.close("Short",disable_alert=true)  // Close the Short position if close price is below lower band

// Plots
plot(basis, color=color.orange, title="Basis")
p1 = plot(upperBand, color=color.blue, title="Upper Band")
p2 = plot(lowerBand, color=color.blue, title="Lower Band")
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))

Published by ChaoZhang on the FMZ strategy square · last modified 2024-02-29. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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