Strategy · Pine Script v4 · On the chart

Ezieh Str.v2

by hasnocool

Ezieh Str.v2 is a momentum and volatility strategy combining Bollinger Bands with two distinct RSI periods to identify trading opportunities.

View on GitHub

GitHub stars106on the repository
Pine versionv4older, still runs
Lines of code60
Settings12inputs
LicenceGPL-3.0
Last update2 years ago18 Sep 2024

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 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

60 lines of Pine Script v4 from BB + RSI double strategy develope.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

BB + RSI double strategy develope.pine
//@version=4
strategy("Ezieh Str.v2", shorttitle="Ezieh Str.v2", overlay=true, pyramiding=10, currency=currency.USD, slippage=3, commission_type=strategy.commission.cash_per_order, commission_value=0.04, initial_capital=1000)
UseDateFilter  = input(title="Enable Date Filter"         ,type=input.bool    ,defval=false                               ,group="Date & Time" ,tooltip="Turns on/off date filter")
StartDate      = input(title="Start Date Filter"          ,type=input.time    ,defval=timestamp("1 Jan 2000 00:00 +0000") ,group="Date & Time" ,tooltip="Date & time to start excluding trades")
EndDate        = input(title="End Date Filter"            ,type=input.time    ,defval=timestamp("1 Jan 2100 00:00 +0000") ,group="Date & Time" ,tooltip="Date & time to stop excluding trades")
UseTimeFilter  = input(title="Enable Time Session Filter" ,type=input.bool    ,defval=false                               ,group="Date & Time" ,tooltip="Turns on/off time session filter")
TradingSession = input(title="Trading Session"            ,type=input.session ,defval="1000-2200:1234567"                 ,group="Date & Time" ,tooltip="No trades will be taken outside of this range")
In(t)      => na(time(timeframe.period, t)) == false
TimeFilter = (UseTimeFilter and not In(TradingSession)) or not UseTimeFilter
DateFilter = time >= StartDate and time <= EndDate
DateTime = (UseDateFilter ? not DateFilter : true) and (UseTimeFilter ? In(TradingSession) : true) 
///////////// RSI
L_RSI_Length     = input(7  , title="L_Length")
L_RSI_OverSold   = input(45 , title="L_OverSold")
S_RSI_Length     = input(14 , title="S_Length")
S_RSI_OverBought = input(65 , title="S_OverBought")
price = close
Lvrsi = rsi(price, L_RSI_Length)
Svrsi = rsi(price, S_RSI_Length)
///////////// Bollinger Bands
BBlength = input(title="Bollinger Period Length", type=input.integer, defval=100, minval=2)
BBmult = 2.1 // 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
plot(BBbasis, color=color.aqua,title="Bollinger Bands SMA Basis Line")
p1 = plot(BBupper, color=color.silver,title="Bollinger Bands Upper Line")
p2 = plot(BBlower, color=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?")
///////////// Condition
LongCondition  = crossover(Lvrsi, L_RSI_OverSold)    and crossover(close  ,BBlower)
ShortCondition = crossunder(Svrsi, S_RSI_OverBought) and crossunder(close,BBupper)
Longexcon      = crossunder(low, BBupper)
Shortexcon     = crossover(low, BBlower)
qt = round(strategy.equity/price, 3)
///////////// RSI + Bollinger Bands Strategy
if (not na(Lvrsi))
    if LongCondition and DateTime
        strategy.entry("RSI_BB_L", strategy.long, qty=qt, oca_type=strategy.oca.cancel, comment="Long")
    else
        strategy.cancel(id="RSI_BB_L")
        
    if Longexcon
        strategy.close("RSI_BB_L", qty_percent = 100, comment = "L_exit")
    
    if ShortCondition and DateTime
        strategy.entry("RSI_BB_S", strategy.short, qty=qt, oca_type=strategy.oca.cancel, comment="Short")
    else
        strategy.cancel(id="RSI_BB_S")
        
    if Shortexcon
        strategy.close("RSI_BB_S", qty_percent = 100, comment = "S_exit")
    
//plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)
Expand (75 lines)

Overview

Ezieh Str.v2 opens long positions when a fast RSI crosses above an oversold threshold while price crosses over the lower Bollinger Band. Short positions trigger when a slow RSI crosses below an overbought threshold while price crosses under the upper band. Trades exit when price crosses the opposing Bollinger Band line, without a fixed stop loss. The strategy plots Bollinger Bands directly on the price chart.

Details

Published by

hasnocool on GitHub

Type

Strategy, Pine Script v4

Draws

On the price chart

Category

Oscillators & momentum, Volatility & bands, Moving averages

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

  • The strategy can add several entries in the same direction
  • The strategy enters trades without a stop loss

Topics

analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview

Settings

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

SettingTypeDefaultVariable
Enable Date FilterboolfalseUseDateFilter
Start Date Filtertimetimestamp("1 Jan 2000 00:00 +0000")StartDate
End Date Filtertimetimestamp("1 Jan 2100 00:00 +0000")EndDate
Enable Time Session FilterboolfalseUseTimeFilter
Trading Sessionsession1000-2200:1234567TradingSession
L_Lengthint7L_RSI_Length
L_OverSoldint45L_RSI_OverSold
S_Lengthint14S_RSI_Length
S_OverBoughtint65S_RSI_OverBought
Bollinger Period Lengthint100BBlength
Enable Bar Color?booltrueswitch1
Enable Background Color?booltrueswitch2
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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