v12Bollinger RSI Double Strategy Long Only v12

Bollinger Bands + RSI Double Long Strategy This strategy combines the Bollinger Bands indicator and the RSI indicator to go long when both show an oversold signal, and to close the long position when both show an…

Pine ScriptMean reversion Trend following RSI MACD SMA Bollinger Bands

Author: ChaoZhang
Complexity: Intermediate · 90 lines
Parameters: 4
Backtest bar: 1m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

I. Strategy Name

Bollinger Bands + RSI Double Long Strategy

II. Strategy Overview

This strategy combines the Bollinger Bands indicator and the RSI indicator to go long when both show an oversold signal, and to close the long position when both show an overbought signal. Compared with a single indicator, it can more reliably confirm trading signals and avoid false signals.

III. Strategy Principle

Use RSI indicator to judge overbought/oversold
- RSI below 50 is considered oversold
- RSI above 50 is considered overbought
Use Bollinger Bands to judge price extremes
- Price below lower band is oversold
- Price above upper band is overbought
Go long when both RSI and Bollinger Bands show oversold signal
- RSI below 50
- Price below Bollinger lower band
Close long position when both RSI and Bollinger Bands show overbought signal
- RSI above 50
- Price above Bollinger upper band

IV. Strategy Strengths

Combining two indicators makes signals more reliable and avoids false signals
Only long positions simplify logic and reduce trading risk

V. Strategy Risks and Solutions

Improper Bollinger Bands parameter setting, too wide upper/lower bands increase false trading risk
- Optimize Bollinger Bands parameters, set reasonable period and standard deviation
Improper RSI parameter setting, wrong overbought/oversold standards increase false trading risk
- Optimize RSI parameters, adjust RSI period, set reasonable overbought/oversold standards
Poor profitability when market lacks a trend
- Combine with trend indicators to avoid choppy markets

VI. Strategy Optimization Directions

Optimize Bollinger Bands and RSI parameter settings
Add stop loss mechanism
Combine with trend indicators like MACD
Add combination of short-term and long-term analysis

VII. Summary

This strategy combines the strengths of Bollinger Bands and RSI indicators to trade when both show extremes. This avoids false signals from a single indicator and improves signal accuracy. Compared to previous versions, only establishing long positions reduces trading risk. Future optimizations can be done through parameter tuning, stop loss mechanisms, combining with trend indicators etc. to make the strategy adaptable to different market environments.

Parameters

Name	Default	What it controls
v_input_1	6	RSI Period Length
v_input_2	200	Bollinger Period Length
v_input_3	true	Enable Bar Color?
v_input_4	true	Enable Background Color?

Source Pine Script

/*backtest
start: 2023-11-30 00:00:00
end: 2023-12-07 00:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
strategy("Bollinger + RSI, Double Strategy Long-Only (by ChartArt) v1.2", shorttitle="CA_-_RSI_Bol_Strat_1.2", overlay=true)

// ChartArt's RSI + Bollinger Bands, Double Strategy UPDATE: Long-Only
//
// Version 1.2
// Idea by ChartArt on October 4, 2017.
//
// This strategy uses the RSI indicator 
// together with the Bollinger Bands 
// to buy when the price is below the
// lower Bollinger Band (and to close the
// long trade when this value is above
// the upper Bollinger band).
//
// This simple strategy only longs when
// both the RSI and the Bollinger Bands
// indicators are at the same time in
// a oversold condition.
//
// In this new version 1.2 the strategy was
// simplified by going long-only, which made
// it more successful in backtesting. 
//
// List of my work: 
// https://www.tradingview.com/u/ChartArt/
// 
//  __             __  ___       __  ___ 
// /  ` |__|  /\  |__)  |   /\  |__)  |  
// \__, |  | /~~\ |  \  |  /~~\ |  \  |  
// 
// 


///////////// RSI
RSIlength = input(6,title="RSI Period Length") 
RSIoverSold = 50
RSIoverBought = 50
price = close
vrsi = rsi(price, RSIlength)


///////////// Bollinger Bands
BBlength = input(200, minval=1,title="Bollinger Period Length")
BBmult = 2 // input(2.0, minval=0.001, maxval=50,title="Bollinger Bands Standard Deviation")
BBbasis = sma(price, BBlength)
BBdev = BBmult * stdev(price, BBlength)
BBupper = BBbasis + BBdev
BBlower = BBbasis - BBdev
source = close
buyEntry = crossover(source, BBlower)
sellEntry = crossunder(source, BBupper)
plot(BBbasis, color=aqua,title="Bollinger Bands SMA Basis Line")
p1 = plot(BBupper, color=silver,title="Bollinger Bands Upper Line")
p2 = plot(BBlower, color=silver,title="Bollinger Bands Lower Line")
fill(p1, p2)


///////////// Colors
switch1=input(true, title="Enable Bar Color?")
switch2=input(true, title="Enable Background Color?")
TrendColor = RSIoverBought and (price[1] > BBupper and price < BBupper) and BBbasis < BBbasis[1] ? red : RSIoverSold and (price[1] < BBlower and price > BBlower) and BBbasis > BBbasis[1] ? green : na
barcolor(switch1?TrendColor:na)
bgcolor(switch2?TrendColor:na,transp=50)


///////////// RSI + Bollinger Bands Strategy
long = (crossover(vrsi, RSIoverSold) and crossover(source, BBlower))
close_long = (crossunder(vrsi, RSIoverBought) and crossunder(source, BBupper))

if (not na(vrsi))

    if long
        strategy.entry("RSI_BB", strategy.long, stop=BBlower, comment="RSI_BB")
    else
        strategy.cancel(id="RSI_BB")
        
    if close_long
        strategy.close("RSI_BB")


//plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-08. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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