Strategie zur Dynamikfindung

Schriftsteller:ChaoZhang
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Übersicht

Strategieprinzip

Strategische Vorteile

Strategische Risiken

Bei falschen Parameter-Einstellungen für Bollinger-Bänder und KC-Kanäle kann es zu fehlerhaften Beurteilungen von Verringerung und Verringerung kommen.
Strategieoptimierungsrichtlinien

Zusammenfassung

/*backtest
start: 2024-01-17 00:00:00
end: 2024-01-24 00:00:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//Noro
//2017

//@version=2
strategy(shorttitle = "Squeeze str 1.1", title="Noro's Squeeze Momentum Strategy v1.1", overlay = false, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, pyramiding = 0)

//Settings
needlong = input(true, defval = true, title = "Long")
needshort = input(true, defval = true, title = "Short")
lev = input(1, defval = 1, minval = 1, maxval = 100, title = "leverage")
length = input(20, title="BB Length")
mult = input(2.0,title="BB MultFactor")
lengthKC=input(20, title="KC Length")
multKC = input(1.5, title="KC MultFactor")
useTrueRange = true
mode2 = input(true, defval = true, title = "Mode 2")
usecolor = input(true, defval = true, title = "Use color of candle")
usebody = input(true, defval = true, title = "Use EMA Body")
needbg = input(false, defval = false, title = "Show trend background")
fromyear = input(2018, defval = 2018, minval = 1900, maxval = 2100, title = "From Year")
toyear = input(2100, defval = 2100, minval = 1900, maxval = 2100, title = "To Year")
frommonth = input(01, defval = 01, minval = 01, maxval = 12, title = "From Month")
tomonth = input(12, defval = 12, minval = 01, maxval = 12, title = "To Month")
fromday = input(01, defval = 01, minval = 01, maxval = 31, title = "From day")
today = input(31, defval = 31, minval = 01, maxval = 31, title = "To day")

// Calculate BB
source = close
basis = sma(source, length)
dev = multKC * stdev(source, length)
upperBB = basis + dev
lowerBB = basis - dev

// Calculate KC
ma = sma(source, lengthKC)
range = useTrueRange ? tr : (high - low)
rangema = sma(range, lengthKC)
upperKC = ma + rangema * multKC
lowerKC = ma - rangema * multKC

sqzOn  = (lowerBB > lowerKC) and (upperBB < upperKC)
sqzOff = (lowerBB < lowerKC) and (upperBB > upperKC)
noSqz  = (sqzOn == false) and (sqzOff == false)

val = linreg(source  -  avg(avg(highest(high, lengthKC), lowest(low, lengthKC)),sma(close,lengthKC)), lengthKC,0)

bcolor = iff( val > 0, iff( val > nz(val[1]), lime, green), iff( val < nz(val[1]), red, maroon))
scolor = noSqz ? blue : sqzOn ? black : gray 

trend = val > 0 ? 1 : val < 0 ? -1 : 0

//Background
col = needbg == false ? na : trend == 1 ? lime : red
bgcolor(col, transp = 80)

//Body
body = abs(close - open)
abody = sma(body, 10) / 3

//Indicator
bcol = iff( val > 0, iff( val > nz(val[1]), lime, green), iff( val < nz(val[1]), red, maroon))
scol = noSqz ? blue : sqzOn ? black : gray 
plot(val, color=bcol, style=histogram, linewidth=4)
plot(0, color=scol, style=cross, linewidth=2)

//Signals
bar = close > open ? 1 : close < open ? -1 : 0
up1 = trend == 1 and (bar == -1 or usecolor == false) and (body > abody or usebody == false) and mode2 == false
dn1 = trend == -1 and (bar == 1 or usecolor == false) and (body > abody or usebody == false) and mode2 == false

up2 = trend == 1 and val < val[1] and mode2 
dn2 = trend == -1 and val > val[1] and mode2

exit = (strategy.position_size > 0 and close > strategy.position_avg_price) or (strategy.position_size < 0 and close < strategy.position_avg_price) and mode2

//Trading
lot = strategy.position_size == 0 ? strategy.equity / close * lev : lot[1]

if up1 or up2
    strategy.entry("Long", strategy.long, needlong == false ? 0 : lot)

if dn1 or dn2
    strategy.entry("Short", strategy.short, needshort == false ? 0 : lot)
    
if exit
    strategy.close_all()
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