Logan Bollinger Bands: Free TradingView Strategy (Pine Script)

Add It to Your TradingView Chart

1Copy the scriptPress Copy script above, or the copy button on the code below.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

128 lines of Pine Script v5 from pt/Bollinger Band Strategy.txt, published under MIT. Keep the author's credit and licence lines when you reuse it.

Bollinger Band Strategy.txt

// Copie e cole no TradingView, como uma nova estratégia no PineScript
// Copy it e paste in TradingView, as a new strategy in PineScript
// Created by Bruno Alves
// Last Updated: 8th May, 2023.
//@version=5
strategy("Logan Bollinger Bands", overlay=true, initial_capital = 100000, default_qty_type = strategy.percent_of_equity, default_qty_value = 100)
// ========== FILTRO DE TEMPO =====================
// STEP 1. Create inputs that configure the backtest's date range
useDateFilter = input.bool(false, title="Filter Date Range of Backtest",
     group="Backtest Time Period")
backtestStartDate = input.time(timestamp("20 May 2023"), 
     title="Start Date", group="Backtest Time Period",
     tooltip="This start date is in the time zone of the exchange " + 
     "where the chart's instrument trades. It doesn't use the time " + 
     "zone of the chart or of your computer.")
backtestEndDate = input.time(timestamp("20 Mar 2099"),
     title="End Date", group="Backtest Time Period",
     tooltip="This end date is in the time zone of the exchange " + 
     "where the chart's instrument trades. It doesn't use the time " + 
     "zone of the chart or of your computer.")

inTradeWindow = useDateFilter == false or (time >= backtestStartDate and
     time < backtestEndDate)
// -------------- Just buy or sell -----------------------
i_only_buy = input.bool(defval = true, title = 'Allow buy?', group = 'Buy and Sell?')
i_only_sell = input.bool(defval = true, title = 'Allow sell?', group = 'Buy and Sell?')
// ---------------- EMA Filter Trend ----------------
i_emaFilter = input.bool(false, title="Filter of Trend EMA")
i_length_emaFilter = input.int(defval = 200, title = 'EMA Filter', minval = 1)
ema_filter = ta.ema(close, i_length_emaFilter)
usingFilterEMA_BUY = i_emaFilter == false or (close > ema_filter)
usingFilterEMA_SELL = i_emaFilter == false or (close < ema_filter)
// EMA 9
i_length_ema_TP = input.int(defval = 14, title = 'TP based on EMA', minval = 1, group = 'Take Profit EMA')
//---------- Bollinger -----------
length = input.int(defval=14, title = 'Central Line', minval=1, group='Bollinger Settings')
src = input(close, title="Source", group='Bollinger Settings')
mult = input.float(defval=2.2, title="Deviation",minval=0.001, maxval=50, group='Bollinger Settings')
basis = ta.sma(src, length)
dev = mult * ta.stdev(src, length)
upper_band = basis + dev
lower_band = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500)
//plot(basis, "Basis", color=#FF6D00, offset = offset)
p1 = plot(upper_band, "Upper", color=#d5d820, offset = offset)
p2 = plot(lower_band, "Lower", color=#d5d820, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
// USANDO DMI/ADX COMO TENTATIVA DE MELHORA NA ESTRATEGIA
i_use_adxfilter = input.bool(defval = true, title = 'Do you want ADX?', group = 'ADX Settings')
i_len_adx = input.int(17, minval=1, title="DI Length", group = 'ADX Settings')
i_lensig = input.int(14, title="ADX Smoothing", minval=1, maxval=50, group = 'ADX Settings')
i_weak_adx = input.float(defval = 20.0, title = 'Weak ADX', minval = 1.0, maxval = 50.0, group = 'ADX Settings')
[diplus, diminus, adx] = ta.dmi(i_len_adx, i_lensig)
// plot(adx, color=color.red, title="ADX", display = display.pane)
// plot(diplus, color=color.blue, title="+DI", display = display.pane)
// plot(diminus, color=color.rgb(236, 240, 255), title="-DI", display = display.pane)
     //Buy/Sell conditional para adx
bool weak_adx = i_use_adxfilter == false or (adx < i_weak_adx)
//========================================================
// ----------- EMA 9 ------------
ema_TP = ta.ema(close, i_length_ema_TP)
p3 = plot(ema_TP, "EMA_TP", color=#27a0be, offset = offset)
p4 = plot(ema_filter, 'EMA Filter', color=#0016dd, offset = offset, linewidth = 2)
// ----------- ATR --------------
pine_atr(length) =>
    trueRange = na(high[1])? high-low : math.max(math.max(high - low, math.abs(high - close[1])), math.abs(low - close[1]))
    //true range can be also calculated with ta.tr(true)
    ta.rma(trueRange, length)
i_atr_multiplier = input.float(defval=1.3, title='ATR Multiplier', minval = 0.1, maxval = 5.0, tooltip = 'Set the ATR multiplier to define your stop', group='ATR StopLoss')
i_atr_value = input.int(defval = 14, title = 'ATR Value', minval = 1, maxval = 50, group='ATR StopLoss')

//==============================
var float Stophigh = 0.0
var float Stoplow = 0.0
var float tp_long = ema_TP
var float tp_short = ema_TP
var float stopBUY = 0.0
var float stopSELL = 0.0

float atr_value = pine_atr(i_atr_value)
current_high = request.security(syminfo.tickerid, timeframe.period, high)
current_low = request.security(syminfo.tickerid, timeframe.period, low)
current_close = request.security(syminfo.tickerid, timeframe.period, close)
// -------- Conditionals ------
sell_conditional = current_close > upper_band and strategy.position_size == 0 and weak_adx
buy_conditional = current_close < lower_band and strategy.position_size == 0 and weak_adx
tp_buy_conditional = strategy.position_size > 0 and current_high >= ema_TP 
tp_sell_conditional = strategy.position_size < 0 and current_low <= ema_TP 

//==============================
var int teste_venda = ta.barssince(sell_conditional)
var int teste_compra = ta.barssince(buy_conditional)

// ----- Entrada da estrategia -----
if buy_conditional and usingFilterEMA_BUY and inTradeWindow and i_only_buy
    Stophigh := current_high
    Stoplow := current_low
    stopBUY := Stoplow - (atr_value * i_atr_multiplier)
    strategy.entry("bbBUY", strategy.long, comment="bbBUY")
if sell_conditional and usingFilterEMA_SELL and inTradeWindow and i_only_sell
    Stophigh := current_high
    Stoplow := current_low
    stopSELL := Stophigh + (atr_value * i_atr_multiplier)
    strategy.entry("bbSELL", strategy.short, comment="bbSELL")

// ----- TP da estrategia -----
// if tp_buy_conditional
//     strategy.close("bbBUY", comment = 'TP EMA BUY', alert_message = 'TP EMA BUY', immediately = true)
// if tp_sell_conditional
//     strategy.close("bbSELL", comment = 'TP EMA SELL', alert_message = 'TP EMA SELL', immediately = true)
//longSL := if inLong and ta.barssince(longClose) < ta.barssince(longCondition)
// strategy.exit("StopVenda", "bbSELL", limit = ema_TP, stop = Stophigh + (atr_value * 1.3), comment_profit = 'TP', comment_loss = 'Loss')
// strategy.exit("StopCompra", "bbBUY", limit = ema_TP, stop = Stoplow - (atr_value * 1.3), comment_profit = ' TP', comment_loss = 'Loss')

strategy.exit("StopVenda", "bbSELL", limit = ema_TP, stop = stopSELL, comment_loss = 'Loss', comment_profit = 'TP')
strategy.exit("StopCompra", "bbBUY", limit = ema_TP, stop = stopBUY, comment_loss = 'Loss', comment_profit = 'TP')

// plot(stopBUY, 'Stop Line', color.red, offset = offset, style = plot.style_steplinebr)
// plot(stopSELL, 'Stop Line', color.green, offset = offset, style = plot.style_steplinebr)


//SETUP CAMEpeAO AUDZND 30 MINUTOS
// ADX 17 14 14
// SETUP CAMPEAO EURGBP
//ema 144, ADX 17 14 20, DESVIO PADRAO 2
// AUDCHF no filter ema, desvio padrao 2, ADX 17, 14, 12

// CADCHF EMA 144 Desvio padrao 2.2

Overview

Logan Bollinger Bands includes an optional EMA trend filter and ADX strength filter to refine signals. The strategy allows buy or sell entries based on user settings and can be limited to specific backtest date ranges. It draws bands and background fill directly on the chart. Position sizing uses equity percentage. There are no exit rules or stop loss defined in the script.

Bollinger Bands
EMA Trend Filter
ADX Filter
Price Overlay
Backtest Time Range

Details

Published by

RsKBruno on GitHub

Type

Strategy, Pine Script v5

Draws

On the price chart

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

The strategy enters trades without a stop loss

File

pt/Bollinger Band Strategy.txt

Repository

github.com/RsKBruno/financial-trading-automation-bot-python. See its other scripts in the library

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

Setting	Type	Default	Variable
Filter Date Range of Backtest	`bool`	`false`	`useDateFilter`
Start Date	`time`	`timestamp("20 May 2023")`	`backtestStartDate`
End Date	`time`	`timestamp("20 Mar 2099")`	`backtestEndDate`
Allow buy?	`bool`	`true`	`i_only_buy`
Allow sell?	`bool`	`true`	`i_only_sell`
Filter of Trend EMA	`bool`	`false`	`i_emaFilter`
EMA Filter	`int`	`200`	`i_length_emaFilter`
TP based on EMA	`int`	`14`	`i_length_ema_TP`
Central Line	`int`	`14`	`length`
Source	`source`	`close`	`src`
Deviation	`float`	`2.2`	`mult`
Offset	`int`	`0`	`offset`

Show all 18 settings

Setting	Type	Default	Variable
Do you want ADX?	`bool`	`true`	`i_use_adxfilter`
DI Length	`int`	`17`	`i_len_adx`
ADX Smoothing	`int`	`14`	`i_lensig`
Weak ADX	`float`	`20.0`	`i_weak_adx`
ATR Multiplier	`float`	`1.3`	`i_atr_multiplier`
ATR Value	`int`	`14`	`i_atr_value`

Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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