Diese Strategie handelt mit bullischen Breakouts unter Verwendung des Morning Star Candlestick-Musters.
Die Logik lautet:
Zeichnen Sie den exponentiellen gleitenden 60-Tage-Durchschnitt EMA60
Identifizieren Sie Morning Star-Muster, bestehend aus einer bärischen Kerze, Doji/Spinning Top und einer bullischen Kerze, die das Hoch der ersten beiden Kerzen durchbricht
Lange Signale sind Ausbrüche über EMA60 nach Morning Star-Mustern
Verwenden Sie entweder Gewinnziele oder Trailing Stops für Ausgänge
Stop-Loss-Einstellung auf das niedrigste Tief der letzten 100 Kerzen
Parameter wie Morning Star Toleranz konfigurierbar
Die Strategie profitiert von der Trendumkehrung der Morning Stars in Richtung des Trends.
Der Morgenstern signalisiert kurzfristige Umkehrungen.
Durchbruchseintritt und Trailing-Stop folgen durch Trends
Rückblickfenster verhindert übermäßigen Stop-Loss
Erfordert iteratives Testen und Optimieren
Zu nahe Haltungen können zu übermäßigen Haltungen führen
LONG verpasst nur kurze Gelegenheiten
Diese Strategie identifiziert Morning Star Muster und Trades Breakouts im Einklang mit dem Trend. Parameter-Tuning passt es an unterschiedliche Marktbedingungen an.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-23 00:00:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
// © TheSocialCryptoClub
// Author: @devil_machine
//@version=5
strategy("PURE MORNING 2.0", overlay=true, pyramiding=1,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity, default_qty_value=10,
slippage=1,backtest_fill_limits_assumption=1,use_bar_magnifier= true,
commission_type=strategy.commission.percent, commission_value=0.075
)
//------------------------------
// Indicators
//------------------------------
rma=ta.rma(close, 60)
mfi=ta.mfi(close, 10)
rsi=ta.rsi(close, 14)
atr7= ta.atr(7)
ema60=ta.ema(close,60)
plot(ema60,"EMA 60", color.new(color.aqua,0))
//------------------------------
// Doji settings
//------------------------------
//-----------------------------------------------MORNING DOJI STAR CODE
range1= high - low
tolerance = input.float(defval=0.09, title="MDS Tolerance",group= "DOJI SETTINGS", minval=0.01, maxval=1, step=0.01)/100
candle1 = math.abs (close[2] - open[2]) /range1[2] > .6 and close[2] < open[2]
candle2 = ((open[1] > close[1] and open[1] < close[1]*(1+tolerance)) or (open[1] < close[1] and open[1] > close[1]*(1-tolerance)) and close [1]<close[2]+range1[2])
candle3 = close > open and close > (close[2]+range1[2])
MDS = candle1 and candle2 and candle3
plotshape (MDS and close > ema60, text="MD", textcolor=color.yellow, offset=-1, location=location.abovebar, color=color.green, style=shape.triangleup)
plotshape (MDS and close < ema60, text="MD", textcolor=color.olive, offset=-1, location=location.belowbar, color=color.red, style=shape.triangledown)
//------------------------------------------------DOJI CODE
tolerance1= input.float(defval=0.05, title="DOJI Tolerance",group= "DOJI SETTINGS", minval=0.01, maxval=1, step=0.01)/100
Is_OC_Equal= (open > close and open < close*(1+tolerance1)) or (open < close and open > close*(1-tolerance1))
plotshape(Is_OC_Equal and close < ema60, text="D", textcolor=color.red, location=location.belowbar, color=color.red)
plotshape(Is_OC_Equal and close > ema60, text="D", textcolor = color.green, location=location.abovebar, color=color.green)
//------------------------------
// Filter
//------------------------------
xl_tp_percent = input.float(9,step=0.5, title="Take Profit", group="EXIT LONG")
sl_type_ll = input.bool(true, "SL type Lowest Low", group="EXIT LONG")
sl_len = input.int(100, "Stop Length", group="EXIT LONG")
max_loss_filter = input.bool(false,"Max Loss Filter", group ="Filter")
filter_percent = input.int(10, "Max Loss %", group="Filter")
sl_type_percent = input.bool(false, "SL type Percent", group="EXIT LONG")
xl_sl_percent = input.float(2,step=.5, title="Stop Loss", group="EXIT LONG")
filter_stop= max_loss_filter == true ? close - ta.lowest (low, sl_len) < (close*filter_percent)/100 : true
if sl_type_percent == true
sl_type_ll := false
//------------------------------
// Entry Long
//------------------------------
el_cond = Is_OC_Equal and close > ta.ema(close, 60) and filter_stop
el_cond_02 = MDS and close > ta.ema(close, 60) and filter_stop
mess = "!buy " + syminfo.ticker // Executor command to buy automatically
if el_cond
strategy.entry ("EL", strategy.long, alert_message = mess,comment = "EL cond 1")
plotshape(el_cond and strategy.position_size == 0, "el_long", shape.circle, color=color.green)
if el_cond_02
strategy.entry ("EL", strategy.long, alert_message = mess,comment = "EL cond 2" )
plotshape(el_cond_02 and strategy.position_size == 0, "el_long_02", shape.circle, color=color.green)
//------------------------------
//Exit Long TP - SL
//------------------------------
xl_sl_price = strategy.position_avg_price * (1-xl_sl_percent/100)
xl_tp_price = strategy.position_avg_price * (1+xl_tp_percent/100)
if sl_type_ll == true
xl_sl_price := ta.lowest (low, sl_len)
//------------------------------
//Trailing stop
//------------------------------
xl_ts_percent = input.float(1, step=0.5, title= "Trailing theshold", group="TRAILING STOP")
xl_to_percent = input.float(0.5, step=0.5, title= "Trailing offset", group="TRAILING STOP")
xl_ts_tick = xl_ts_percent * close/syminfo.mintick/100
xl_to_tick = xl_to_percent * close/syminfo.mintick/100
mess_sell = "!sell " + syminfo.ticker // Executor command to sell automatically
strategy.exit("XL+SL/TP", "EL", stop=xl_sl_price, limit=xl_tp_price, trail_points=xl_ts_tick, trail_offset=xl_to_tick,comment_loss= "STOP", comment_profit = "PROFIT",comment_trailing = "TS", alert_message = mess_sell)
//------------------------------
// Conditional close on MFI
//------------------------------
xl_cond= ta.crossover(mfi, 90)
if xl_cond
strategy.close("XL", alert_message = mess_sell)
plotshape(xl_cond, "xl_cond", shape.circle, color=color.red)