
This strategy is based on the V-shaped pattern formed by the RSI indicator, combined with EMA filters, to develop a reliable short-term profitable trading strategy. It captures rebound opportunities when the price is oversold by accurately going long through RSI’s V-shaped signals, for the purpose of making profits in the short run.
This strategy integrates EMA filter and RSI V-shaped pattern judgment to form a reliable short-term trading strategy. It can effectively seize the rebound opportunities when oversold. With continuous optimization on parameters and models, improving stop loss mechanisms, this strategy can be further enhanced in stability and profitability. It opens the door of profitable swing trading for quant traders.
/*backtest
start: 2023-12-12 00:00:00
end: 2024-01-11 00:00:00
period: 1h
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("RSI V Pattern", overlay=true)
strategy(title="RSI V Pattern", overlay=false )
//Strategy Rules
//ema20 is above ema50 --- candles are colored green on the chart
//RSI value sharply coming up which makes a V shape , colored in yellow on the chart
//RSI V pattern should occur from below 30
len = input(title="RSI Period", minval=1, defval=5)
stopLoss = input(title="Stop Loss %", minval=1, defval=8)
myRsi = rsi(close,len)
longEmaVal=ema(close,50)
shortEmaVal=ema(close,20)
//plot emas
//plot(longEmaVal, title="Long EMA" ,linewidth=2, color=color.orange, trackprice=true)
//plot(shortEmaVal, title="Short EMA" ,linewidth=2, color=color.green, trackprice=true)
longCondition = ema(close,20)>ema(close,50) and (low[1]<low[2] and low[1]<low[3]) and (myRsi>myRsi[1] and myRsi>myRsi[2] ) and crossover(myRsi,30) // ( and myRsi<60)
//(myRsi<60 and myRsi>30) and myRsi>myRsi[1] and (myRsi[1]<myRsi[2] or myRsi[1]<myRsi[3]) and (myRsi[2]<30) and (myRsi[3]<30 and myRsi[4]>=30)
barcolor(shortEmaVal>longEmaVal?color.green:color.red)
//longCondition = crossover(sma(close, 14), sma(close, 28))
barcolor(longCondition?color.yellow:na)
strategy.entry("RSI_V_LE", strategy.long, when=longCondition )
//stoploss value at 10%
stopLossValue=strategy.position_avg_price - (strategy.position_avg_price*stopLoss/100)
//stopLossValue=valuewhen(longCondition,low,3)
//takeprofit at RSI highest reading
//at RSI75 move the stopLoss to entry price
moveStopLossUp=strategy.position_size>0 and crossunder(myRsi,70)
barcolor(moveStopLossUp?color.blue:na)
stopLossValue:=crossover(myRsi,70) ? strategy.position_avg_price:stopLossValue
//stopLossValue:=moveStopLossUp?strategy.position_avg_price:stopLossValue
rsiPlotColor=longCondition ?color.yellow:color.purple
rsiPlotColor:= moveStopLossUp ?color.blue:rsiPlotColor
plot(myRsi, title="RSI", linewidth=2, color=rsiPlotColor)
//longCondition?color.yellow:#8D1699)
hline(50, title="Middle Line", linestyle=hline.style_dotted)
obLevel = hline(75, title="Overbought", linestyle=hline.style_dotted)
osLevel = hline(25, title="Oversold", linestyle=hline.style_dotted)
fill(obLevel, osLevel, title="Background", color=#9915FF, transp=90)
//when RSI crossing down 70 , close 1/2 position and move stop loss to average entry price
strategy.close("RSI_V_LE", qty=strategy.position_size*1/2, when=strategy.position_size>0 and crossunder(myRsi,70))
//when RSI reaches high reading 90 and crossing down close 3/4 position
strategy.close("RSI_V_LE", qty=strategy.position_size*3/4, when=strategy.position_size>0 and crossunder(myRsi,90))
//close everything when Rsi goes down below to 10 or stoploss hit
//just keeping RSI cross below 10 , can work as stop loss , which also keeps you long in the trade ... however sharp declines could make large loss
//so I combine RSI goes below 10 OR stoploss hit , whichever comes first - whole posiition closed
longCloseCondition=crossunder(myRsi,10) or close<stopLossValue
strategy.close("RSI_V_LE", qty=strategy.position_size,when=longCloseCondition )