RSI Reversal Trading Strategy

This strategy uses the RSI indicator to judge market trends and generate trading signals when overbought or oversold conditions occur. It aims to capture short-term reversal moves in the market. It also incorporates…

Pine ScriptMean reversion Trend following Volatility RSI SMA ATR

Author: ChaoZhang
Complexity: Intermediate · 93 lines
Parameters: 13
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

Calculate 14-period RSI and set overbought line at 67 and oversold line at 44.
When RSI crosses above overbought line, a sell signal is generated. When RSI crosses below oversold line, a buy signal is generated.
Add moving average filter. Sell signals only occur when close is below previous day's MA; Buy signals only occur when close is above previous day's MA.
Incorporate profit-taking and stop-loss logic. Either fixed points or RSI-based exits can be used.

Advantage Analysis

Captures short-term reversal opportunities using RSI overbought/oversold levels.
Moving average filter avoids trading against the trend.
Profit-taking and stop-loss controls single trade loss.
Can catch trend reversal opportunities early.

Risks and Solutions

RSI lag may cause false signals. Adjust parameters or combine with other indicators.
Fixed stop-loss may be too wide or too narrow. Consider trailing stop.
Fixed profit-taking may exit too early or target too small. Consider RSI or ATR based exits.
Fails to filter ranging markets, causing over-trading and losses. Adjust RSI parameters or add filters.

Optimization Directions

Test RSI parameters on different timeframes.
Adjust overbought/oversold RSI levels.
Try different moving averages or other filters.
Test fixed versus dynamic profit targets/stops.
Optimize profit/stop values to fit market volatility.
Add filters to avoid whipsaws in ranging markets.
Consider multiple timeframe confluence to improve signal quality.

Summary

This strategy trades reversals using RSI combined with moving averages and profit-taking/stop-loss logic. It aims to capture short-term turns in the market. Further parameter optimization and additional filters can improve profitability while reducing risks. It suits investors who are sensitive to short-term moves and seek frequent trading.

Parameters

Name	Default	What it controls
v_input_1	14	length
v_input_2	44	overSold
v_input_3	67	overBought
v_input_4	0.0576923077	AvgPrice - n
v_input_5	false	Тейк-профіт по RSI
v_input_6	73	RSI тейк по лонгу
v_input_7	44	RSI тейк по шорту
v_input_8	250	Маржа
v_input_9	3	Плече
v_input_10	false	Тейк-профіт
v_input_11	4500	Тейк-профіт у тіках
v_input_12	false	Стоп-лосс
v_input_13	false	Стоп-лосс у тіках

Source Pine Script

/*backtest
start: 2022-09-21 00:00:00
end: 2023-09-27 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//© профешинил хомячело
//@version = 4

strategy("RSI Strategy Professional Хомячело", overlay=false)
length = input( 14 )
overSold = input( 44 )
overBought = input( 67 )
price = open
rsi = rsi(price, length)
band1 = hline(overSold, "overSold12", color=#C0C0C0)
band0 = hline(overBought, "overBought12", color=#C0C0C0)
plot(rsi, "RSI", color=color.red)
fill(band1, band0, color=color.black, transp=90, title="Background")
src = close
a = sma(src, 1)
aaa = strategy.opentrades + 1

n = input(defval = 0.0576923077, title = "AvgPrice - n")
//n = 0.0576923077

buysignal = crossover(rsi, overSold) and (a < (strategy.position_avg_price - n) or strategy.opentrades == 0)
sellsignal = crossunder(rsi, overBought) and (a > (strategy.position_avg_price + n) or strategy.opentrades == 0)


// crossover(rsi, overSold)
// crossunder(rsi, overBought)
if (not na(rsi))
    if(buysignal)
        strategy.entry("LONG", strategy.long, comment = tostring(a) + "\n(" + tostring(aaa) + ")")
        n += 1000
    if(sellsignal)
        strategy.entry("SHORT", strategy.short, comment = tostring(a) + "\n(" + tostring(aaa) + ")")
        n += 1000

//лонги орні       
    if(rsi < 15 and strategy.opentrades != 5 and a < (strategy.position_avg_price - n))
        strategy.entry("LONG", strategy.long, comment = "ЙОБАНИЙ НАСРАВ ТА БЕРИ ЛОНГ НА ВСЬО ШО Є НАХУЙ\n" + tostring(a) + "\n(" + tostring(aaa) + "!!!)")
    if(rsi < 20 and strategy.opentrades != 5 and a < (strategy.position_avg_price - n))
        strategy.entry("LONG", strategy.long, comment = "ЛОНГ НА ВСЮ КОТЛЄТУ\n" + tostring(a) + "\n(" + tostring(aaa) + "!!!)")
//шорти орні
    if(rsi > 85 and strategy.opentrades != 5 and a < (strategy.position_avg_price - n))
        strategy.entry("SHORT", strategy.short, comment = "ЙОБАНИЙ НАСРАВ ТА БЕРИ ШОРТ НА ВСЬО ШО Є НАХУЙ\n" + tostring(a) + "\n(" + tostring(aaa) + "!!!)")
    if(rsi > 80 and strategy.opentrades != 5 and a < (strategy.position_avg_price - n))
        strategy.entry("SHORT", strategy.short, comment = "ШОРТ НА ВСЮ КОТЛЄТУ\n" + tostring(a) + "\n(" + tostring(aaa) + "!!!)")


//стоп-лосс і ціль

//rsi
rsion = input(defval = false, title = "Тейк-профіт по RSI")
rcl = input(defval = 73.0, title = "RSI тейк по лонгу")
rcs = input(defval = 44.0, title = "RSI тейк по шорту")
possize = input(defval = 250.0, title = "Маржа")
posp = input(defval = 3.0, title = "Плече")

//tick
ut = input(defval = false, title = "Тейк-профіт")
tar = input(defval = 4500.0, title = "Тейк-профіт у тіках")
us = input(defval = false, title = "Стоп-лосс")
stop = input(defval = 0.0, title = "Стоп-лосс у тіках")
tar:=tar/syminfo.mintick
stop:=stop/syminfo.mintick

if(ut==true and us==false)
    strategy.exit(id="LX", from_entry = "LONG", profit = tar, comment = "ТейкL")
    strategy.exit(id="SX", from_entry = "SHORT", profit = tar, comment = "ТейкS")
if(us==true and ut==false)
    strategy.exit(id="LX", from_entry = "LONG", loss = stop, comment = "СтопL")
    strategy.exit(id="SX", from_entry = "SHORT", loss = stop, comment = "СтопS")
    
if(ut==true and us==true)
    strategy.exit(id="LX", from_entry = "LONG", profit = tar, loss = stop, comment ="Тейк/СтопL")
    strategy.exit(id="SX", from_entry = "SHORT", profit = tar, loss = stop, comment ="Тейк/СтопS")
    
//закриття по rsi
if(rsion == 1 )
    pr = round(((a / strategy.position_avg_price - 1) * possize * posp), 2)
    ppr = round(((a / strategy.position_avg_price - 1) * 100 * posp), 2)
    spr = round((1 - (a / strategy.position_avg_price)) * possize * posp, 2)
    sppr = round((100 - (a / strategy.position_avg_price * 100)) * posp, 2)
    
    if(rsi > rcl)
        strategy.close(id="LONG", comment = "LT\n" + tostring(ppr) + "%\n" + tostring(pr) + "$\n" + tostring(a))
    if(rsi < rcs)
        strategy.close(id="SHORT", comment = "ST\n" + tostring(sppr) + "%\n" + tostring(spr) + "$\n" + tostring(a))

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-28. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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