Die Strategie handelt BTCUSD mit einem Crossover zwischen SMA(10) und SMA(25) sowie einem EMA(150)-Filter. Long-Einstiege warten auf einen Rücksetzer: Nach dem Crossover wird ein Retracement-Prozentsatz verfolgt, und eine Long-Position wird eröffnet, wenn der Preis wieder über dieses Niveau steigt. Short-Einstiege werden sofort bei einem bärischen Crossover ausgelöst, solange der Preis unter dem EMA liegt.
Ausstiege verwenden einstellbare Take-Profit-, Stop-Loss- und Break-Even-Abstände. Eine Long-Position wird auch geschlossen, wenn SMA(10) unter SMA(25) kreuzt, während der Preis unter EMA(150) liegt.
Details
Einstiegskriterien:
Long: SMA(10) kreuzt über SMA(25), dann zieht der Preis um einen festgelegten Prozentsatz zurück und kreuzt über das Retracement-Niveau.
Short: SMA(10) kreuzt unter SMA(25), während der Preis unter EMA(150) liegt.
Long/Short: Long und Short.
Ausstiegskriterien:
Konfigurierbare Take-Profit-, Stop-Loss- und Break-Even-Abstände.
Long-Ausstieg, wenn SMA(10) unter SMA(25) unter EMA(150) kreuzt.
Stops: Ja, einstellbar in Punkten.
Standardwerte:
FastSmaLength = 10
SlowSmaLength = 25
EmaFilterLength = 150
TakeProfitDistance = 1000
StopLossDistance = 250
BreakEvenTrigger = 500
RetracementPercentage = 0.01
Filter:
Kategorie: Trendfolge
Richtung: Long & Short
Indikatoren: SMA, EMA
Stops: Ja
Komplexität: Moderat
Zeitrahmen: Beliebig
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Mittel
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// BTCUSD strategy with adjustable SL/TP using SMA crossover.
/// Enters long on golden cross above EMA filter, short on death cross below EMA filter.
/// </summary>
public class BtcusdAdjustableSltpStrategy : Strategy
{
private readonly StrategyParam<int> _fastSmaLength;
private readonly StrategyParam<int> _slowSmaLength;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
public int FastSmaLength { get => _fastSmaLength.Value; set => _fastSmaLength.Value = value; }
public int SlowSmaLength { get => _slowSmaLength.Value; set => _slowSmaLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BtcusdAdjustableSltpStrategy()
{
_fastSmaLength = Param(nameof(FastSmaLength), 120)
.SetGreaterThanZero()
.SetDisplay("Fast SMA", "Length of fast SMA", "Indicators");
_slowSmaLength = Param(nameof(SlowSmaLength), 450)
.SetGreaterThanZero()
.SetDisplay("Slow SMA", "Length of slow SMA", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastSma = new SimpleMovingAverage { Length = FastSmaLength };
var slowSma = new SimpleMovingAverage { Length = SlowSmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastSma, slowSma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastSma);
DrawIndicator(area, slowSma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFast == 0m || _prevSlow == 0m)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_prevFast <= _prevSlow && fast > slow && Position <= 0)
{
BuyMarket();
}
else if (_prevFast >= _prevSlow && fast < slow && Position >= 0)
{
SellMarket();
}
_prevFast = fast;
_prevSlow = slow;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class btcusd_adjustable_sltp_strategy(Strategy):
def __init__(self):
super(btcusd_adjustable_sltp_strategy, self).__init__()
self._fast_sma_length = self.Param("FastSmaLength", 120) \
.SetGreaterThanZero() \
.SetDisplay("Fast SMA", "Length of fast SMA", "Indicators")
self._slow_sma_length = self.Param("SlowSmaLength", 450) \
.SetGreaterThanZero() \
.SetDisplay("Slow SMA", "Length of slow SMA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(btcusd_adjustable_sltp_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(btcusd_adjustable_sltp_strategy, self).OnStarted2(time)
fast_sma = SimpleMovingAverage()
fast_sma.Length = self._fast_sma_length.Value
slow_sma = SimpleMovingAverage()
slow_sma.Length = self._slow_sma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_sma, slow_sma, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_sma)
self.DrawIndicator(area, slow_sma)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast_v = float(fast_val)
slow_v = float(slow_val)
if self._prev_fast == 0 or self._prev_slow == 0:
self._prev_fast = fast_v
self._prev_slow = slow_v
return
if self._prev_fast <= self._prev_slow and fast_v > slow_v and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast_v < slow_v and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast_v
self._prev_slow = slow_v
def CreateClone(self):
return btcusd_adjustable_sltp_strategy()