
Die Strategie verwendet eine Kombination aus dreifacher Index-Durchschnittsbewegungslinie (Triple MACD) und einem relativ starken Index (RSI), um den Kryptowährungsmarkt speziell für 1-Minuten-Zeiträume zu quantifizieren. Die Hauptidee der Strategie besteht darin, die Veränderungen der Marktdynamik mit MACD-Indikatoren mit verschiedenen Periodendaten zu erfassen, während die RSI-Indikatoren zur Bestätigung der Trendstärke verwendet werden.
Die Strategie verwendet drei MACD-Indikatoren mit verschiedenen Parametern, die mit einer schnellen Linie von 5/13/34 und einer langsamen Linie von 8/21/144 berechnet werden, um die MACD-Werte zu ermitteln. Die drei MACDs werden dann gemittelt, der MACD-Wert nach dem Mittelwert minus der Signal-Wert (d. h. die MACD-Periodische NEMA) wird berechnet, um die endgültige MACD-Spaltenkarte zu erhalten.
Die Strategie kombiniert geschickt die dreifache MACD mit dem RSI-Indikator und nutzt die Technik der linearen Regression, um die Position der Position zu identifizieren, um eine vollständige, hochfrequente Quantifizierungsstrategie zu bilden. Die strikten Positionseröffnungsbedingungen der Strategie und die Anwendung des durchschnittlichen MACD-Signals tragen dazu bei, die Handlungsgenauigkeit zu verbessern und den Rückzug zu kontrollieren. Obwohl die Strategie bei einseitigen Trendbewegungen besser abschneidet, können die Anpassungsfähigkeit und die Robustheit der Strategie durch die Einführung von Schwankungsfilterung, die Optimierung der Position der Position der Position, die Einrichtung von mobilen Stopps und die Einrichtung von unabhängigen Parametern für verschiedene Sorten weiter verbessert werden.
/*backtest
start: 2023-03-23 00:00:00
end: 2024-03-28 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy(title="TrippleMACD", shorttitle="TrippleMACD + RSI strategy", format=format.price, precision=4, overlay=true)
// RSI
ma(source, length, type) =>
switch type
"SMA" => ta.sma(source, length)
"Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
maTypeInput = input.string("SMA", title="MA Type", options=["SMA", "Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="MA Settings")
maLengthInput = input.int(14, title="MA Length", group="MA Settings")
bbMultInput = input.float(2.0, minval=0.001, maxval=50, title="BB StdDev", group="MA Settings")
showDivergence = input.bool(false, title="Show Divergence", group="RSI Settings")
up = ta.rma(math.max(ta.change(rsiSourceInput), 0), rsiLengthInput)
down = ta.rma(-math.min(ta.change(rsiSourceInput), 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiMA = ma(rsi, maLengthInput, maTypeInput)
isBB = maTypeInput == "Bollinger Bands"
bbUpperBand = plot(isBB ? rsiMA + ta.stdev(rsi, maLengthInput) * bbMultInput : na, title = "Upper Bollinger Band", color=color.green)
bbLowerBand = plot(isBB ? rsiMA - ta.stdev(rsi, maLengthInput) * bbMultInput : na, title = "Lower Bollinger Band", color=color.green)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
plFound = na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) ? false : true
phFound = na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
rsiHL = rsi[lookbackRight] > ta.valuewhen(plFound, rsi[lookbackRight], 1) and _inRange(plFound[1])
// Price: Lower Low
priceLL = low[lookbackRight] < ta.valuewhen(plFound, low[lookbackRight], 1)
bullCondAlert = priceLL and rsiHL and plFound
bullCond = showDivergence and bullCondAlert
// rsi: Lower High
rsiLH = rsi[lookbackRight] < ta.valuewhen(phFound, rsi[lookbackRight], 1) and _inRange(phFound[1])
// Price: Higher High
priceHH = high[lookbackRight] > ta.valuewhen(phFound, high[lookbackRight], 1)
bearCondAlert = priceHH and rsiLH and phFound
bearCond = showDivergence and bearCondAlert
// Getting inputs
stopLuse = input(1.040)
fast_length = input(title = "Fast Length", defval = 5)
slow_length = input(title = "Slow Length", defval = 8)
fast_length2 = input(title = "Fast Length2", defval = 13)
slow_length2 = input(title = "Slow Length2", defval = 21)
fast_length3 = input(title = "Fast Length3", defval = 34)
slow_length3 = input(title = "Slow Length3", defval = 144)
fast_length4 = input(title = "Fast Length3", defval = 68)
slow_length4 = input(title = "Slow Length3", defval = 288)
src = input(title = "Source", defval = close)
signal_length2 = input.int(title="Signal Smoothing", minval = 1, maxval = 200, defval = 11)
signal_length = input.int(title = "Signal Smoothing", minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title = "Oscillator MA Type", defval = "EMA", options = ["SMA", "EMA"])
sma_signal = input.string(title = "Signal Line MA Type", defval = "EMA", options = ["SMA", "EMA"])
// Calculating
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
fast_ma2 = sma_source == "SMA2" ? ta.sma(src, fast_length2) : ta.ema(src, fast_length2)
slow_ma2 = sma_source == "SMA2" ? ta.sma(src, slow_length2) : ta.ema(src, slow_length2)
fast_ma3 = sma_source == "SMA3" ? ta.sma(src, fast_length3) : ta.ema(src, fast_length3)
slow_ma3 = sma_source == "SMA3" ? ta.sma(src, slow_length3) : ta.ema(src, slow_length3)
fast_ma4 = sma_source == "SMA3" ? ta.sma(src, fast_length3) : ta.ema(src, fast_length3)
slow_ma4 = sma_source == "SMA3" ? ta.sma(src, slow_length3) : ta.ema(src, slow_length3)
macd = fast_ma - slow_ma
macd2 = fast_ma2 - slow_ma2
macd3 = fast_ma3 - slow_ma3
macd4 = fast_ma4 - slow_ma4
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
signal2 = sma_signal == "SMA" ? ta.sma(macd2, signal_length) : ta.ema(macd2, signal_length)
signal3 = sma_signal == "SMA" ? ta.sma(macd3, signal_length) : ta.ema(macd3, signal_length)
signal4 = sma_signal == "SMA" ? ta.sma(macd4, signal_length) : ta.ema(macd4, signal_length)
//hist = (macd + macd2 + macd3)/1 - (signal + signal2 + signal3)/1
hist = (macd + macd2 + macd3 + macd4)/4 - (signal + signal2 + signal3 + signal4)/4
signal5 = (signal + signal2 + signal3)/3
sma_signal2 = input.bool(title="Simple MA (Signal Line)", defval=true)
lin_reg = input.bool(title="Lin Reg", defval=true)
linreg_length = input.int(title="Linear Regression Length", minval = 1, maxval = 200, defval = 11)
bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open
bhigh = lin_reg ? ta.linreg(high, linreg_length, 0) : high
blow = lin_reg ? ta.linreg(low, linreg_length, 0) : low
bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close
shadow = (bhigh - bclose) + (bopen - blow)
body = bclose - bopen
perc = (shadow/body)
cond2 = perc >=2 and bclose+bclose[1]/2 > bopen+bopen[1]/2
r = bopen < bclose
//signal5 = sma_signal2 ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length)
plotcandle(r ? bopen : na, r ? bhigh : na, r ? blow: na, r ? bclose : na, title="LinReg Candles", color= color.green, wickcolor=color.green, bordercolor=color.green, editable= true)
plotcandle(r ? na : bopen, r ? na : bhigh, r ? na : blow, r ? na : bclose, title="LinReg Candles", color=color.red, wickcolor=color.red, bordercolor=color.red, editable= true)
//alertcondition(hist[1] >= 0 and hist < 0, title = 'Rising to falling', message = 'The MACD histogram switched from a rising to falling state')
//alertcondition(hist[1] <= 0 and hist > 0, title = 'Falling to rising', message = 'The MACD histogram switched from a falling to rising state')
green = hist >= 0 ? (hist[1] < hist ? "G" : "GL") : (hist[1] < hist ? "RL" : "R")
Buy = green == "G" and green[1] != "G" and green[1] != "GL" and bopen < bclose and rsi < 55.0 //and not cond2
//StopBuy = (green == "R" or green == "RL" or green == "RL") and bopen > bclose and bopen[1] < bclose[1]
StopBuy = bopen > bclose and bopen[1] < bclose[1] and (green == "G" or green == "GL" or green == "R") and bopen[2] < bclose[2] and bopen[3] < bclose[3]
hists = close[3] < close[2] and close[2] < close[1]
//Buy = green == "RL" and hist[0] > -0.07 and hist[0] < 0.00 and rsi < 55.0 and hists
//StopBuy = green == "GL" or green == "R"
alertcondition(Buy, "Long","Покупка в лонг")
alertcondition(StopBuy, "StopLong","Закрытие сделки")
//hline(0, "Zero Line", color = color.new(#787B86, 50))
plot(hist + (close - (close * 0.03)), title = "Histogram", style = plot.style_line, color = (hist >= 0 ? (hist[1] < hist ? #26A69A : #B2DFDB) : (hist[1] < hist ? #FFCDD2 : #FF5252)))
plotshape(Buy ? low : na, 'Buy', shape.labelup, location.belowbar , color=color.new(#0abe40, 50), size=size.small, offset=0)
plotshape(StopBuy ? low : na, 'Buy', shape.cross, location.abovebar , color=color.new(#be0a0a, 50), size=size.small, offset=0)
plot(macd4 + (close - (close * 0.01)), title = "MACD", color = #2962FF)
plot(signal5 + (close - (close * 0.01)), title = "Signal", color = #FF6D00)
plotchar(cond2 , char='↓', color = color.rgb(0, 230, 119), text = "-")
if (Buy)
strategy.entry("long", strategy.long)
// if (startShortTrade)
// strategy.entry("short", strategy.short)
profitTarget = strategy.position_avg_price * stopLuse
strategy.exit("Take Profit", "long", limit=profitTarget)
// strategy.exit("Take Profit", "short", limit=profitTarget)