
이 전략은 여러 개의 다른 기간의 SMA 평균을 조합하여 트렌드를 판단하고 추적합니다. 핵심 아이디어는 다음과 같습니다. 다른 기간의 SMA의 상승과 하락 방향을 비교하여 트렌드를 판단합니다. 짧은 기간의 SMA에서 더 긴 기간의 SMA를 밟을 때, 더 많이하십시오.
이 전략은 여러 주기 SMA 평균선을 조합하여 시장 추세 방향에 대한 효과적인 판단을 구현하고 양적 거래 신호를 생성한다. 동시에, ZeroLagEMA의 응용은 전략의 순조율을 향상시킨다. 전반적으로, 전략은 추세 추적에 기반한 양적 거래 아이디어를 구현하고, 효과는 눈에 띄다.
/*backtest
start: 2024-01-04 00:00:00
end: 2024-02-03 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=2
strategy("Forex MA Racer - SMA Performance /w ZeroLag EMA Trigger", shorttitle = "FX MA Racer (5x SMA, 2x zlEMA)", overlay=false )
// === INPUTS ===
hr0 = input(defval = true, title = "=== SERIES INPUTS ===")
smaSource = input(defval = close, title = "SMA Source")
sma1Length = input(defval = 10, title = "SMA 1 Length")
sma2Length = input(defval = 20, title = "SMA 2 Length")
sma3Length = input(defval = 50, title = "SMA 3 Length")
sma4Length = input(defval = 100, title = "SMA 4 Length")
sma5Length = input(defval = 200, title = "SMA 5 Length")
smaDirSpan = input(defval = 4, title = "SMA Direction Span")
zlmaSource = input(defval = close, title = "ZeroLag EMA Source")
zlmaFastLength = input(defval = 9, title = "ZeroLag EMA Fast Length")
zlmaSlowLength = input(defval = 21, title = "ZeroLag EMA Slow Length")
hr1 = input(defval = true, title = "=== PLOT TIME LIMITER ===")
useTimeLimit = input(defval = true, title = "Use Start Time Limiter?")
// set up where we want to run from
startYear = input(defval = 2018, title = "Start From Year", minval = 0, step = 1)
startMonth = input(defval = 02, title = "Start From Month", minval = 0,step = 1)
startDay = input(defval = 01, title = "Start From Day", minval = 0,step = 1)
startHour = input(defval = 00, title = "Start From Hour", minval = 0,step = 1)
startMinute = input(defval = 00, title = "Start From Minute", minval = 0,step = 1)
hr2 = input(defval = true, title = "=== TRAILING STOP ===")
useStop = input(defval = false, title = "Use Trailing Stop?")
slPoints = input(defval = 200, title = "Stop Loss Trail Points", minval = 1)
slOffset = input(defval = 400, title = "Stop Loss Trail Offset", minval = 1)
// === /INPUTS ===
// === SERIES SETUP ===
// Fast ZeroLag EMA
zema1=ema(zlmaSource, zlmaFastLength)
zema2=ema(zema1, zlmaFastLength)
d1=zema1-zema2
zlemaFast=zema1+d1
// Slow ZeroLag EMA
zema3=ema(zlmaSource, zlmaSlowLength)
zema4=ema(zema3, zlmaSlowLength)
d2=zema3-zema4
zlemaSlow=zema3+d2
// Simple Moving Averages
period10 = sma(close, sma1Length)
period20 = sma(close, sma2Length)
period50 = sma(close, sma3Length)
period100 = sma(close, sma4Length)
period200 = sma(close, sma5Length)
// === /SERIES SETUP ===
// === PLOT ===
// colors of plotted MAs
p1 = (close < period10) ? #FF0000 : #00FF00
p2 = (close < period20) ? #FF0000 : #00FF00
p3 = (close < period50) ? #FF0000 : #00FF00
p4 = (close < period100) ? #FF0000 : #00FF00
p5 = (close < period200) ? #FF0000 : #00FF00
plot(period10, title='10 Period', color = p1, linewidth=1)
plot(period20, title='20 Period', color = p2, linewidth=2)
plot(period50, title='50 Period', color = p3, linewidth=4)
plot(period100, title='100 Period', color = p4, linewidth=6)
plot(period200, title='200 Period', color = p5, linewidth=10)
// === /PLOT ===
//BFR = BRFIB ? (maFast+maSlow)/2 : abs(maFast - maSlow)
// === STRATEGY ===
// calculate SMA directions
direction10 = rising(period10, smaDirSpan) ? +1 : falling(period10, smaDirSpan) ? -1 : 0
direction20 = rising(period20, smaDirSpan) ? +1 : falling(period20, smaDirSpan) ? -1 : 0
direction50 = rising(period50, smaDirSpan) ? +1 : falling(period50, smaDirSpan) ? -1 : 0
direction100 = rising(period100, smaDirSpan) ? +1 : falling(period100, smaDirSpan) ? -1 : 0
direction200 = rising(period200, smaDirSpan) ? +1 : falling(period200, smaDirSpan) ? -1 : 0
// conditions
// SMA Direction Trigger
dirUp = direction10 > 0 and direction20 > 0 and direction100 > 0 and direction200 > 0
dirDn = direction10 < 0 and direction20 < 0 and direction100 < 0 and direction200 < 0
longCond = (period10>period20) and (period20>period50) and (period50>period100) and dirUp//and (close > period10) and (period50>period100) //and (period100>period200)
shortCond = (period10<period20) and (period20<period50) and dirDn//and (period50<period100) and (period100>period200)
longExit = crossunder(zlemaFast, zlemaSlow) or crossunder(period10, period20)
shortExit = crossover(zlemaFast, zlemaSlow) or crossover(period10, period20)
// entries and exits
startTimeOk() =>
// get our input time together
inputTime = timestamp(syminfo.timezone, startYear, startMonth, startDay, startHour, startMinute)
// check the current time is greater than the input time and assign true or false
timeOk = time > inputTime ? true : false
// last line is the return value, we want the strategy to execute if..
// ..we are using the limiter, and the time is ok -OR- we are not using the limiter
r = (useTimeLimit and timeOk) or not useTimeLimit
if( true )
// entries
strategy.entry("long", strategy.long, when = longCond)
strategy.entry("short", strategy.short, when = shortCond)
// trailing stop
if (useStop)
strategy.exit("XL", from_entry = "long", trail_points = slPoints, trail_offset = slOffset)
strategy.exit("XS", from_entry = "short", trail_points = slPoints, trail_offset = slOffset)
// exits
strategy.close("long", when = longExit)
strategy.close("short", when = shortExit)
// === /STRATEGY ===