Super Scalper 5 Min 15 Min

This strategy is based on RSI and ATR Bands which works better in 5 and 15 Mins time frame. Perform enough back testing with 1:2R before using in real time. Entry only on trade on screen symbols, use additional…

Pine ScriptScalping Trend following RSI EMA SMA ATR

Author: ChaoZhang
Complexity: Intermediate · 80 lines
Parameters: 7
Backtest bar: 5m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

This strategy is based on RSI and ATR Bands which works better in 5 and 15 Mins time frame. Perform enough back testing with 1:2R before using in real time.

Entry only on trade on screen symbols, use additional buy/sell alerts to book profit or to trail SL.

I have also added Golden Cross Over of 65 and 21 EMA to have confirmation on trend.

backtest

Parameters

Name	Default	What it controls
v_input_int_1	14	ATR Period
v_input_float_1	true	ATR Multi
v_input_string_1	0	ATR Smoothing: WMA \| SMA \| EMA \| RMA
v_input_int_2	21	Fast EMA
v_input_int_3	65	Slow EMA
v_input_int_4	25	Fast RSI Length
v_input_int_5	100	Slow RSI Length

Source Pine Script

/*backtest
start: 2022-04-23 00:00:00
end: 2022-05-22 23:59:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
//Revision: Updated script to pine script version 5
//added Double RSI for Long/Short prosition trend confirmation instead of single RSI
strategy("Super Scalper - 5 Min 15 Min", overlay=true)
source = close
atrlen = input.int(14, "ATR Period")
mult = input.float(1, "ATR Multi", step=0.1)
smoothing = input.string(title="ATR Smoothing", defval="WMA", options=["RMA", "SMA", "EMA", "WMA"])
ma_function(source, atrlen) => 
    if smoothing == "RMA"
        ta.rma(source, atrlen)
    else
        if smoothing == "SMA"
            ta.sma(source, atrlen)
        else
            if smoothing == "EMA"
                ta.ema(source, atrlen)
            else
                ta.wma(source, atrlen)
atr_slen = ma_function(ta.tr(true), atrlen)
upper_band = atr_slen * mult + close
lower_band = close - atr_slen * mult

// Create Indicator's
ShortEMAlen = input.int(21, "Fast EMA")
LongEMAlen = input.int(65, "Slow EMA")
shortSMA = ta.ema(close, ShortEMAlen)
longSMA = ta.ema(close, LongEMAlen)
RSILen1 = input.int(25, "Fast RSI Length")
RSILen2 = input.int(100, "Slow RSI Length")
rsi1 = ta.rsi(close, RSILen1)
rsi2 = ta.rsi(close, RSILen2)
atr = ta.atr(atrlen)


//RSI Cross condition
RSILong = rsi1 > rsi2
RSIShort = rsi1 < rsi2

// Specify  conditions
longCondition = open < lower_band
shortCondition = open > upper_band
GoldenLong = ta.crossover(shortSMA,longSMA)
Goldenshort = ta.crossover(longSMA,shortSMA)

plotshape(shortCondition, title="Sell Label", text="Sell", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)
plotshape(longCondition, title="Buy Label", text="Buy", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
plotshape(Goldenshort, title="Golden Sell Label", text="Golden Crossover Short", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.blue, textcolor=color.white, transp=0)
plotshape(GoldenLong, title="Golden Buy Label", text="Golden Crossover Long", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.yellow, textcolor=color.white, transp=0)
// Execute trade if condition is True
if (longCondition)
    stopLoss = low - atr * 2
    takeProfit = high + atr * 5
    strategy.entry("long", strategy.long, when = RSILong)


if (shortCondition)
    stopLoss = high + atr * 2
    takeProfit = low - atr * 5
    strategy.entry("short", strategy.short, when = RSIShort)


// Plot ATR bands to chart

////ATR Up/Low Bands

plot(upper_band)
plot(lower_band)

// Plot Moving Averages
plot(shortSMA, color = color.red)
plot(longSMA, color = color.yellow)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-24. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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Source Pine Script

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