La estrategia opera BTCUSD usando un cruce entre SMA(10) y SMA(25) con un filtro EMA(150). Las entradas largas esperan un retroceso: tras el cruce se rastrea un porcentaje de retroceso y se abre una posición larga cuando el precio cruza de nuevo por encima de ese nivel. Las entradas cortas se activan inmediatamente ante un cruce bajista mientras el precio está por debajo de la EMA.
Las salidas usan distancias ajustables de take-profit, stop-loss y break-even. Una posición larga también se cierra si SMA(10) cruza por debajo de SMA(25) mientras el precio está por debajo de EMA(150).
Detalles
Criterios de entrada:
Largo: SMA(10) cruza por encima de SMA(25), luego el precio retrocede un porcentaje fijo y cruza por encima del nivel de retroceso.
Corto: SMA(10) cruza por debajo de SMA(25) mientras el precio está por debajo de EMA(150).
Largo/Corto: Largo y corto.
Criterios de salida:
Distancias configurables de take-profit, stop-loss y break-even.
Salida larga cuando SMA(10) cruza por debajo de SMA(25) bajo EMA(150).
Stops: Sí, ajustables en puntos.
Valores predeterminados:
FastSmaLength = 10
SlowSmaLength = 25
EmaFilterLength = 150
TakeProfitDistance = 1000
StopLossDistance = 250
BreakEvenTrigger = 500
RetracementPercentage = 0.01
Filtros:
Categoría: Seguimiento de tendencia
Dirección: Largo y Corto
Indicadores: SMA, EMA
Stops: Sí
Complejidad: Moderado
Marco temporal: Cualquiera
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Medio
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()