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RSI W Pattern Breakout Strategy

Author: ChaoZhang, Date: 2023-09-17 18:24:17
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Overview

This strategy identifies W patterns on the RSI indicator combined with trend conditions to implement low-buy-high-sell breakout operations. Compared to overbought/oversold levels, the W pattern identification provides clearer buy signal timing.

Strategy Logic

  1. Identify W patterns using RSI(5) to locate potential buy opportunities. W patterns appearing in oversold zones indicate impending reversals.

  2. EMA20 crossing above EMA50 determines uptrend, providing directional bias.

  3. When a W pattern is identified and trend is up, long orders are triggered.

  4. If already in a position, additional buys are allowed if RSI crosses below 20 again.

  5. When RSI crosses above 75, it indicates overbought conditions, take profit exits are triggered.

  6. A 8% stop loss is set. If loss exceeds this point, a stop loss exit is triggered.

Advantage Analysis

  1. W pattern identification increases entry certainty.

  2. Combining with trend filters avoids false signals and missing reversal chances.

  3. RSI(5) can timely capture short-term opportunities.

  4. Profit taking and stop loss points help control risks.

Risk Analysis

  1. W pattern recognition depends on parameter tuning, risks of missing or misidentifying formations exist.

  2. As a reversal signal, risks of being trapped exist.

  3. RSI is prone to false breakouts, proper signal filtering is needed.

  4. If stop loss point is too wide, premature stops may occur.

Optimization Directions

  1. Test different RSI periods to find optimal parameters.

  2. Add more criteria to increase pattern recognition accuracy.

  3. Combine with other indicators for signal filtering and reducing incorrect trades.

  4. Dynamically adjust stop loss levels to optimize stop loss strategy.

  5. Optimize profit taking strategy to extend holding period while ensuring profitability.

Summary

This strategy utilizes RSI W patterns for efficient reversal breakout trading. But further parameter optimization and adding other technical indicators for signal filtering can improve strategy stability and profitability.


/*backtest
start: 2023-08-17 00:00:00
end: 2023-09-16 00:00:00
period: 3h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © mohanee

//@version=4
strategy(title="RSI W Pattern strategy", pyramiding=2, shorttitle="RSI W Pattern", overlay = false)

//Strategy Rules
//ema20 is above ema50
//RSI5 making W pattern in oversold area  or just below 70 level  , you can define the value for parameter buyRsiEntry --- dont go beyond 70
//Exit when RSI reaches 75 

len = input(title="RSI Period", minval=1, defval=5)
buyRsiEntry = input(title="look for W pattern bottom edges well below RSI level (BUY) ", minval=10, defval=65, maxval=70)
//numberOfBars = input(title="Number of Bars in W pattern ", minval=4, defval=4, maxval=6)

emaL = input(title="Long Term EMA", minval=1, defval=50, maxval=200)
emaS = input(title="Short Term EMA", minval=1, defval=20, maxval=200)

stopLoss = input(title="Stop Loss %", minval=1, defval=8, maxval=10)

//rsiWp1=false

myRsi = rsi(close,len)

//longEmaVal=ema(close,emaL)
//shortEmaVal=ema(close,emaS)

entryEma=ema(close,5)  // This is used as filetr for BUY


isEma20AboveEma50=ema(close,emaS)>ema(close,emaL) ? true : false 

//W Pattern
//rsiWp1 =  myRsi>myRsi[1] and myRsi>=30 and myRsi[1]<myRsi[2] and myRsi[2]>myRsi[3]  and myRsi[3]<myRsi[4] //This is published one
rsiWp1 =    myRsi>myRsi[1] and myRsi>=30 and myRsi[1]<myRsi[2] and myRsi[2]>myRsi[3]  and myRsi[3]<myRsi[4] and (low[1]<=low[4] or low[3]<=low[4] ) // looking for recent low

//rsiWp1 =  myRsi>myRsi[1] and myRsi>=30 and myRsi[1]<myRsi[2] and myRsi[2]>myRsi[3]  and myRsi[3]<myRsi[4]  //Ths one has 92% win rate and 4.593 prfit factor

//long condition filters
//1. ema20 > ema50
//2. Rsi5 has W pattern
//3. current RSI <= 65 (parameter buyRsiEntry)  (dont go beyond 70 , becuase that is already overbought area)
//4. current price low/close is below 5 ema --- looking for pullback  -- Optional
longCondition =  isEma20AboveEma50 and rsiWp1   and (myRsi<=buyRsiEntry  and myRsi>=30)  
//and (low<entryEma or close<entryEma)  --- if this optional required , add it to above condition

patternText=" W "

barcolor(longCondition?color.yellow:na)

//initial entry
strategy.entry("RSI_W_LE", comment="Buy" , long=true, when=longCondition  )

//legging in to existing 
strategy.entry("RSI_W_LE",comment="Add", long=true, when=strategy.position_size>0 and crossover(myRsi,10 ))

//calculate stoploss value
stopLossValue=strategy.position_avg_price -  (strategy.position_avg_price*stopLoss/100) 


rsiPlotColor=longCondition ?color.yellow:color.purple


plot(myRsi, title="RSI", linewidth=2, color=color.purple)
//    plot(myRsi, title="RSI", linewidth=2, color=rsiWp1?color.yellow:color.purple)
    //plot(myRsi[1], title="RSI", linewidth=2, color=rsiWp1==true?color.yellow:color.purple)
    //plot(myRsi[2], title="RSI", linewidth=2, color=rsiWp1?color.yellow:color.purple)
    //plot(myRsi[3], title="RSI", linewidth=2, color=rsiWp1?color.yellow:color.purple)
    //plot(myRsi[4], title="RSI", linewidth=2, color=rsiWp1?color.yellow:color.purple)
    


hline(40, title="Middle Line", color=color.blue, linestyle=hline.style_dashed)
obLevel = hline(75, title="Overbought", color=color.red, linestyle=hline.style_dashed)
osLevel = hline(30, title="Oversold", color=color.purple, linestyle=hline.style_dashed)
fill(obLevel, osLevel, title="Background", color=#9915FF, transp=90)


plotshape(
	 longCondition ? myRsi[1] : na,
	 offset=-1,
	 title="W Pattern",
	 text=patternText,
	 style=shape.labelup,
	 location=location.absolute,
	 color=color.purple,
	 textcolor=color.yellow,
	 transp=0
	 )	 
	 
bgcolor(strategy.position_size>0?color.green:na, transp=40, title='In Long Position')

//take profit or close when RSI reaches 75    
takeProfit=crossover(myRsi,75)

//close when RSi reaches profit level 
strategy.close("RSI_W_LE", comment="TP Exit", qty=strategy.position_size,when=crossover(myRsi,75) and close>strategy.position_avg_price )


//close everything when stoploss hit  
longCloseCondition=close<(strategy.position_avg_price - (strategy.position_avg_price*stopLoss/100)  ) //or crossunder(myRsi,30)
strategy.close("RSI_W_LE", comment="SL Exit", qty=strategy.position_size,when=longCloseCondition )



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