Long Term Trading Strategy Based on Bollinger Bands B Indicator

Pine ScriptTrend following Volatility MACD SMA Bollinger Bands

Author: ChaoZhang
Complexity: Intermediate · 43 lines
Parameters: 8
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy generates trading signals based on the Bollinger Bands %B indicator. It goes long when the %B value falls below a preset threshold and adopts a dynamic position averaging approach to follow the trend until take profit or stop loss is triggered. The strategy is suitable for identifying pullback opportunities after the support of the Bollinger lower band is broken.

Strategy Logic

Calculate the middle band, upper band and lower band of N-day Bollinger Bands
Calculate %B value: (%B = (Close - LowerBB)/(UpperBB - LowerBB) )
Go long when %B value falls below the threshold (default is 0)
Set take profit based on entry price (default is 105% of entry price) and stop loss (default is 95% of entry price)
Add to the position as long as conditions are met after opening position
The first triggered take profit or stop loss closes the position

Advantage Analysis

The advantages of this strategy are:

%B indicator efficiently identifies pullback points after lower band support
Dynamic position averaging tracks the trend for greater profit
Clear take profit and stop loss conditions facilitate risk control

Risk Analysis

There are also some risks associated with this strategy:

Higher probability of false signals from %B
More frequent stop loss triggers during ranging markets
Aggressive averaging risks uncontrolled loss

Solutions:

Combine with indicators like KD and MACD to confirm signal reliability
Adjust stop loss placement to withstand market volatility
Control averaging pace to avoid risk explosion

Enhancement Opportunities

The strategy can be further optimized in the following areas:

Test different parameter combinations for best results
Optimize averaging logic, e.g. stop adding after certain profit target achieved
Add liquidity filter to prevent errant trading in low liquidity stocks

Summary

Overall this is a relatively robust long-term trading strategy. There is room for improvement in both signal accuracy and parameter tuning. When combined with additional signal filtering and prudent position sizing, this strategy can achieve decent results in trending markets.

Parameters

Name	Default	What it controls
v_input_int_1	20	BB Length
v_input_1_close	0	Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_float_1	2	Deviation
v_input_2	5	Take Profit
v_input_3	100	Stop Loss
v_input_4	timestamp(01 Jan 2023 00:00 +0000)	Start Date
v_input_5	timestamp(01 Jan 2024 00:00 +0000)	End Date
v_input_float_2	false	hangi degerin altinda long alsin

Source Pine Script

/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("Bollinger Bands %B Long Strategy", shorttitle="BB %B Long Strategy", overlay=true)

// Girdiler
length = input.int(20, title="BB Length")
src = input(close, title="Source")
dev = input.float(2.0, title="Deviation")
kar_hedefi = input(5, title="Take Profit")
zarar_durumu = input(100, title="Stop Loss")
start_date = input(timestamp("01 Jan 2023 00:00 +0000"), "Start Date")
end_date = input(timestamp("01 Jan 2024 00:00 +0000"), "End Date")
altinda_kalirsa_long = input.float(0, title="hangi degerin altinda long alsin")

// Bollinger Bantları %B göstergesi
basis = ta.sma(src, length)
stdDev = ta.stdev(src, length)
upperBand = basis + dev * stdDev
lowerBand = basis - dev * stdDev
percentB = (src - lowerBand) / (upperBand - lowerBand)

// Alım-Satım Sinyalleri
longCondition = percentB < altinda_kalirsa_long

// Kar/Zarar Hesaplama
takeProfit = strategy.position_avg_price * (1 + kar_hedefi / 100)
stopLoss = strategy.position_avg_price * (1 - zarar_durumu / 100)

// Long (Alım) İşlemi
if (longCondition )
    strategy.entry("Long", strategy.long)
    strategy.exit("Take Profit/Stop Loss", "Long", limit=takeProfit, stop=stopLoss)

// Take Profit Seviyesi Çizgisi
plot(takeProfit, title="Take Profit", color=color.green, linewidth=1, style=plot.style_linebr)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-02-01. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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