RSI Indicator Long Short Separation Trading Strategy

Pine ScriptMean reversion Trend following Multi-timeframe RSI MACD SMA ATR Fibonacci Pivots / S&R

Author: ChaoZhang
Complexity: Advanced · 279 lines
Parameters: 18
Backtest bar: 3h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy identifies long short separation phenomena through the RSI indicator to make trading decisions. The core idea is that when prices hit new lows but the RSI indicator hits new highs, a "bullish separation" signal is generated, indicating that the bottom has formed and going long. When prices hit new highs but the RSI indicator hits new lows, a "bearish separation" signal is generated, indicating that the top has formed and going short.

Strategy Principles

The strategy mainly uses the RSI indicator to identify the long short separation between prices and the RSI. The specific method is as follows:

Use RSI indicator parameters of 13 and close prices as source data
Define left lookback range for bullish separation as 14 days and right lookback range as 2 days
Define left lookback range for bearish separation as 47 days and right lookback range as 1 day
When prices hit lower lows but RSI hits higher lows, long separation condition is met to generate long signals
When prices hit higher highs but RSI hits lower highs, short separation condition is met to generate short signals

By identifying the long short separation between prices and RSI, it can capture the inflection points of price trends in advance for trade decision making.

Advantages of the Strategy

The main advantages of this strategy are:

Identifying price/RSI separation can judge trend inflections early to capture trading opportunities
Use indicator analysis so less affected by emotions
Use fixed lookback periods to identify separation, avoiding frequent parameter tuning
Additional conditions like daily RSI reduce false signals

Risks and Solutions

There are still some risks:

RSI divergence does not necessarily mean immediate reversal, time lag may exist leading to stop loss risk. Solution is to allow wider stops to give time for divergence signal confirmation.
Prolonged separation also increases risk. Solution is to add longer-term daily or weekly RSI as filter conditions.
Small divergence may not confirm trend reversal, need to expand lookback periods to find more significant RSI divergence.

Optimization Directions

The strategy can be improved in the following aspects:

Optimize RSI parameters to find best parameter combinations
Try other technical indicators like MACD, KD to identify separation
Add oscillation filters to reduce false signals in choppy periods
Combine RSI from multiple timeframes to find best combination signals

Conclusion

The RSI long short separation trading strategy judges trend inflections by identifying divergence between price and RSI to generate trading signals. The strategy is simple and practical. Further improving parameters and adding filters can increase profitability. Overall an effective quantitative trading strategy.

Parameters

Name	Default	What it controls
v_input_1	13	RSI Period
v_input_2_close	0	RSI Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_3	true	Short Lookback Right
v_input_4	47	Short Lookback Left
v_input_5	2	Long Lookback Right
v_input_6	14	Long Lookback Left
v_input_7	400	Max of Lookback Range
v_input_8	true	Min of Lookback Range
v_input_9	75	Take Profit at RSI Level
v_input_10	25	Take Profit for Short at RSI Level
v_input_11	0	Long Stop Loss Type: PERC \| ATR \| FIB \| NONE
v_input_12	0	Short Stop Loss Type: PERC \| ATR \| FIB \| NONE
v_input_13	14	Long Stop Loss Value
v_input_14	5	Short Stop Loss Value
v_input_15	true	Plot Bullish
v_input_16	true	Plot Bearish
v_input_17	14	ATR Length (for Trailing stop loss)
v_input_18	3.5	ATR Multiplier (for Trailing stop loss)

Source Pine Script

/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 23:59:59
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/
// © Nextep

//@version=4
strategy(title="RSI top&bottom destroy ", overlay=false, pyramiding=4, default_qty_value=2, default_qty_type=strategy.fixed, initial_capital=10000, currency=currency.USD)







// INPUT Settings --------------------------------------------------------------------------------------------------------------------------------------------------
len = input(title="RSI Period", minval=1, defval=13)
src = input(title="RSI Source", defval=close)





// defining the lookback range for shorts
lbRshort = input(title="Short Lookback Right", defval=1)
lbLshort = input(title="Short Lookback Left", defval=47)

// defining the lookback range for longs
lbRlong = input(title="Long Lookback Right", defval=2)
lbLlong = input(title="Long Lookback Left", defval=14)


rangeUpper = input(title="Max of Lookback Range", defval=400)
rangeLower = input(title="Min of Lookback Range", defval=1)

// take profit levels
takeProfitLongRSILevel = input(title="Take Profit at RSI Level", minval=0, defval=75)
takeProfitShortRSILevel = input(title="Take Profit for Short at RSI Level", minval=0, defval=25)




// Stop loss settings
longStopLossType = input("PERC", title="Long Stop Loss Type", options=['ATR','PERC', 'FIB', 'NONE'])
shortStopLossType = input("PERC", title="Short Stop Loss Type", options=['ATR','PERC', 'FIB', 'NONE'])
longStopLossValue = input(title="Long Stop Loss Value", defval=14, minval=0)
shortStopLossValue = input(title="Short Stop Loss Value", defval=5, minval=-10)








// PLOTTING THE CHARTS --------------------------------------------------------------------------------------------------------------------------------------------------
// Plotting the Divergence
plotBull = input(title="Plot Bullish", defval=true)
plotBear = input(title="Plot Bearish", defval=true)
bearColor = color.orange
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)

// Adding the RSI oscillator
osc = rsi(src, len)
ma_len = 14 // Length for the moving average
rsi_ma = sma(osc, ma_len) // Calculate the moving average of RSI
plot(osc, title="RSI", linewidth=1, color=color.purple)
plot(rsi_ma, color=color.blue, title="RSI MA") // Plot the RSI MA

// Adding the lines of the RSI oscillator
plot(osc, title="RSI", linewidth=1, color=color.purple)
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=color.purple, transp=80)


atrLength = input(14, title="ATR Length (for Trailing stop loss)")
atrMultiplier = input(3.5, title="ATR Multiplier (for Trailing stop loss)")







// RSI PIVOTS --------------------------------------------------------------------------------------------------------------------------------------------------
// Define a condition for RSI pivot low
isFirstPivotLowlong = not na(pivotlow(osc, lbLlong, lbRlong))
// Define a condition for RSI pivot high
isFirstPivotHighlong = not na(pivothigh(osc, lbLlong, lbRlong))
// Define a condition for the first RSI value
firstPivotRSIValuelong = isFirstPivotLowlong ? osc[lbRlong] : na
// Define a condition for the second RSI value
secondPivotRSIValuelong = isFirstPivotLowlong ? valuewhen(isFirstPivotLowlong, osc[lbRlong], 1) : na


// Define a condition for RSI pivot low
isFirstPivotLowshort = not na(pivotlow(osc, lbLshort, lbRshort))
// Define a condition for RSI pivot high
isFirstPivotHighshort = not na(pivothigh(osc, lbLshort, lbRshort))
// Define a condition for the first RSI value
firstPivotRSIValueshort = isFirstPivotLowshort ? osc[lbRshort] : na
// Define a condition for the second RSI value
secondPivotRSIValueshort = isFirstPivotLowshort ? valuewhen(isFirstPivotLowshort, osc[lbRshort], 1) : na

_inRange(cond) =>
    bars = barssince(cond == true)
    rangeLower <= bars and bars <= rangeUpper









// ADDITIONAL ENTRY CRITERIA --------------------------------------------------------------------------------------------------------------------------------------------------
// RSI crosses RSI MA up by more than 2 points and subsequently down
rsiUpCross = crossover(osc, rsi_ma + 1)
rsiDownCross = crossunder(osc, rsi_ma - 1)

// Calculate the daily RSI
rsiDaily = security(syminfo.ticker, "D", rsi(src, 14))





// BULLISH CONDITIONS --------------------------------------------------------------------------------------------------------------------------------------------------

// LOWER LOW PRICE & HIGHER LOW OSC

// Price: Lower Low
priceLL = na(isFirstPivotLowlong[1]) ? false : (low[lbRlong] < valuewhen(isFirstPivotLowlong, low[lbRlong], 1))
// Osc: Higher Low
oscHL = na(isFirstPivotLowlong[1]) ? false : (osc[lbRlong] > valuewhen(isFirstPivotLowlong, osc[lbRlong], 1) and _inRange(isFirstPivotLowlong[1]))



// BULLISH PLOT
bullCond = plotBull and priceLL and oscHL and isFirstPivotLowlong
plot(
     isFirstPivotLowlong ? osc[lbRlong] : na,
     offset=-lbRlong,
     title="Regular Bullish",
     linewidth=2,
     color=(bullCond ? bullColor : noneColor),
     transp=0
     )

plotshape(
     bullCond ? osc[lbRlong] : na,
     offset=-lbRlong,
     title="Regular Bullish Label",
     text=" Bull ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor,
     transp=0
     )









// BEARISH CONDITIONS --------------------------------------------------------------------------------------------------------------------------------------------------

// HIGHER HIGH PRICE & LOWER LOW OSC
// Osc: Lower High
oscLH = na(isFirstPivotHighshort[1]) ? false : (osc[lbRshort] < valuewhen(isFirstPivotHighshort, osc[lbRshort], 1) and _inRange(isFirstPivotHighshort[1]))
// Price: Higher High
priceHH = na(isFirstPivotHighshort[1]) ? false : (high[lbRshort] > valuewhen(isFirstPivotHighshort, high[lbRshort], 1))


// BEARISH PLOT
bearCond = plotBear and priceHH and oscLH and isFirstPivotHighshort

plot(
     isFirstPivotHighshort ? osc[lbRshort] : na,
     offset=-lbRshort,
     title="Regular Bearish",
     linewidth=2,
     color=(bearCond ? bearColor : noneColor),
     transp=0
     )

plotshape(
     bearCond ? osc[lbRshort] : na,
     offset=-lbRshort,
     title="Regular Bearish Label",
     text=" Bear ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor,
     transp=0
     )




// ENTRY CONDITIONS --------------------------------------------------------------------------------------------------------------------------------------------------

longCondition = false
shortCondition = false

// Entry Conditions
longCondition := bullCond
shortCondition := bearCond

// Conditions to prevent entering trades based on daily RSI
longCondition := longCondition and rsiDaily >= 23
shortCondition := shortCondition and rsiDaily <= 80




// STOPLOSS CONDITIONS --------------------------------------------------------------------------------------------------------------------------------------------------
// Stoploss Conditions
long_sl_val = 
      longStopLossType == "ATR" ? longStopLossValue * atr(atrLength) 
      : longStopLossType == "PERC" ? close * longStopLossValue / 100 : 0.00
long_trailing_sl = 0.0
long_trailing_sl := strategy.position_size >= 1 ? max(low - long_sl_val, nz(long_trailing_sl[1])) : na

// Calculate Trailing Stop Loss for Short Entries
short_sl_val = 
      shortStopLossType == "ATR" ? 1 - shortStopLossValue * atr(atrLength) 
      : shortStopLossType == "PERC" ? close * (shortStopLossValue / 100) : 0.00 //PERC = shortstoplossvalue = -21300 * 5 / 100 = -1065
short_trailing_sl = 0.0
short_trailing_sl := strategy.position_size <= -1 ? max(high + short_sl_val, nz(short_trailing_sl[1])) : na






// RSI STOP CONDITION
 
rsiStopShort = (strategy.position_avg_price != 0.0 and close <= strategy.position_avg_price * 0.90) or (strategy.position_avg_price != 0.0 and rsi(src, 14) >= 75)
 
rsiStopLong = (strategy.position_avg_price != 0.0 and close >= strategy.position_avg_price * 1.10) or (strategy.position_avg_price != 0.0 and rsi(src, 14) <= 25)


// LONG CONDITIONS --------------------------------------------------------------------------------------------------------------------------------------------------
strategy.entry(id="RSIDivLELong", long=true, when=longCondition)

strategy.entry(id="RSIDivLEShort", long=false, when=shortCondition)







// Close Conditions
shortCloseCondition = bullCond // or cross(osc, takeProfitShortRSILevel)
strategy.close(id="RSIDivLEShort", comment="Close All="+tostring(-close + strategy.position_avg_price, "####.##"), when=abs(strategy.position_size) <= -1 and shortStopLossType == "NONE" and shortCloseCondition )
strategy.close(id="RSIDivLEShort", comment="TSL="+tostring(-close + strategy.position_avg_price, "####.##"), when=abs(strategy.position_size) >= -1 and ((shortStopLossType == "PERC" or shortStopLossType == "ATR") and cross(short_trailing_sl,high))) // or rsiStopShort)// or rsiStopShort)


longCloseCondition = bearCond
strategy.close(id="RSIDivLELong", comment="Close All="+tostring(close - strategy.position_avg_price, "####.##"), when=abs(strategy.position_size) >= 1 and longStopLossType == "NONE" and longCloseCondition)
strategy.close(id="RSIDivLELong", comment="TSL="+tostring(close - strategy.position_avg_price, "####.##"), when=abs(strategy.position_size) >= 1 and ((longStopLossType == "PERC" or longStopLossType == "ATR") and cross(long_trailing_sl,low)))  //or rsiStopLong

Published by ChaoZhang on the FMZ strategy square · last modified 2024-02-26. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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