Diese Strategie handelt Kreuzungen zwischen einem schnellen und einem langsamen Simple Moving Average (SMA).
Optional vermeidet sie die Realisierung von Verlusten, indem sie Verlustpositionen auf Break-even verschiebt, wenn das entgegengesetzte Signal erscheint.
Funktionsweise
Indikatoren
Schneller SMA
Langsamer SMA
Einstiege
Long wenn Schneller SMA > Langsamer SMA und die aktuelle Richtung nicht Long ist.
Short wenn Schneller SMA < Langsamer SMA und die aktuelle Richtung nicht Short ist.
Zusätzliche Einstiege sind erlaubt, wenn Close Losses deaktiviert ist und die Anzahl der offenen Positionen unter Max Deals liegt.
Ausstiege
Bei einem entgegengesetzten Kreuzungssignal.
Wenn Close Losses aktiviert ist, wird die Position sofort geschlossen.
Wenn Close Losses deaktiviert ist und der Trade im Verlust liegt, wird eine Limit-Order zum Einstiegspreis gesetzt, um bei Break-even auszusteigen.
Parameter
Name
Beschreibung
Standard
FastLength
Periode des schnellen SMA.
10
SlowLength
Periode des langsamen SMA.
30
MaxDeals
Maximale Anzahl gleichzeitiger Positionen.
5
CloseLosses
Verlustpositionen sofort schließen.
true
Volume
Ordervolumen.
1
CandleType
Kerzen für Berechnungen.
1-minute
Hinweise
Die Strategie verwendet Marktorders für Ein- und Ausstiege. Wenn CloseLosses deaktiviert ist, versucht sie Positionen zu schützen, indem sie eine Limit-Order zum Einstiegspreis platziert, anstatt mit Verlust zu schließen.
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Lossless Moving Average strategy.
/// Trades fast and slow SMA crossovers.
/// </summary>
public class LosslessMaStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevFast;
private decimal? _prevSlow;
/// <summary>
/// Fast SMA period.
/// </summary>
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
/// <summary>
/// Slow SMA period.
/// </summary>
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
/// <summary>
/// Type of candles used for calculations.
/// </summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Constructor.
/// </summary>
public LosslessMaStrategy()
{
_fastLength = Param(nameof(FastLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast MA", "Fast SMA length", "Parameters");
_slowLength = Param(nameof(SlowLength), 30)
.SetGreaterThanZero()
.SetDisplay("Slow MA", "Slow SMA length", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candles for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = _prevSlow = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastMa = new ExponentialMovingAverage { Length = FastLength };
var slowMa = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastMa, slowMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastMa);
DrawIndicator(area, slowMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var prevFast = _prevFast;
var prevSlow = _prevSlow;
_prevFast = fastValue;
_prevSlow = slowValue;
if (prevFast is null || prevSlow is null)
return;
// Bullish crossover
if (prevFast <= prevSlow && fastValue > slowValue && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// Bearish crossover
if (prevFast >= prevSlow && fastValue < slowValue && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class lossless_ma_strategy(Strategy):
def __init__(self):
super(lossless_ma_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 10) \
.SetDisplay("Fast MA", "Fast SMA length", "Parameters")
self._slow_length = self.Param("SlowLength", 30) \
.SetDisplay("Slow MA", "Slow SMA length", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candles for strategy", "General")
self._prev_fast = None
self._prev_slow = None
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(lossless_ma_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(lossless_ma_strategy, self).OnStarted2(time)
fast_ma = ExponentialMovingAverage()
fast_ma.Length = self.fast_length
slow_ma = ExponentialMovingAverage()
slow_ma.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ma)
self.DrawIndicator(area, slow_ma)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
f = float(fast_value)
s = float(slow_value)
if self._prev_fast is not None and self._prev_slow is not None:
# Bullish crossover
if self._prev_fast <= self._prev_slow and f > s and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Bearish crossover
if self._prev_fast >= self._prev_slow and f < s and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = f
self._prev_slow = s
def CreateClone(self):
return lossless_ma_strategy()