Support Resistance breakout
Strategy based on longing resistance breakout and shorting support breakout. It defines highs and lows using fractal with 2 bars for confirming high/lows. So it has 2 bars lag. It calculates the difference between…
Strategy based on longing resistance breakout and shorting support breakout. It defines highs and lows using fractal with 2 bars for confirming high/lows. So it has 2 bars lag. It calculates the difference between sma with defined length (21 by default) of highs and of lows and uses it as alt SR level. This idea I took from synapticEx's indicator Nebula-Advanced-Dynamic-Support-Resistance. Position enter is the breakout of SR, defined by fractals. Position exit is: bar change in opposite to position direction > difference is sma of highs and of lows.
backtest

Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 21 | SR lookbak length |
Source Pine Script
/*backtest
start: 2022-04-30 00:00:00
end: 2022-05-29 23:59:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy("SR TREND STRATEGY", shorttitle="SR TREND", overlay=true, calc_on_order_fills=true)
//based on by synapticEx SR indicator https://www.tradingview.com/script/O0F675Kv-Nebula-Advanced-Dynamic-Support-Resistance/
length = input(title="SR lookbak length", type=input.integer, defval=21)
h = bar_index>5 and high[5]<high[4] and high[4]<high[3] and high[3]>high[2] and high[2]>high[1] ? 1 : 0
l = bar_index>5 and low[5]>low[4] and low[4]>low[3] and low[3]<low[2] and low[2]<low[1] ? 1 : 0
ln = sum(l, length)
hn = sum(h, length)
hval = h>0 ? high[3] : 0
lval = l>0 ? low[3] : 0
lsum = sum(lval, length)
hsum = sum(hval, length)
r = ln>0 and hn>0 ? abs((hsum/hn) - (lsum/ln)): 0
float lvalc = na
float lvalr = na
float hvalc = na
float hvalr = na
lvalc := lval and r>0 ? lval : lvalc[1]
lvalr := lval and r>0 ? lval+r : lvalr[1]
hvalc := hval and r>0 ? hval : hvalc[1]
hvalr := hval and r>0 ? hval-r : hvalr[1]
int trend=0
trend:=close > lvalr and close > hvalr ? 1 : close < lvalr and close < hvalr ? -1 : trend[1]
strategy.close("Long", when=trend==-1)
strategy.close("Short", when=trend==1)
strategy.entry("Long", strategy.long, when=trend==1 and close>hvalc)
strategy.entry("Short", strategy.short, when=trend==-1 and close<lvalc)
int long=0
int short=0
long:= trend==1 and close>hvalc ? 1 : trend==-1 ? -1 : long[1]
short:= trend==-1 and close<lvalc ? 1 : trend==1 ? -1 : short[1]
barcolor(long>0? color.green : short>0? color.red : trend>0? color.white: trend<0 ? color.orange : color.blue)Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-31. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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