Lossless MA戦略
この戦略は、速い単純移動平均(SMA)と遅いSMAのクロスオーバーで取引します。 逆シグナルが現れたとき、損失ポジションを損益分岐点に移動させることで、損失の実現を任意に回避します。
動作の仕組み
- インジケーター
- 速いSMA
- 遅いSMA
- エントリー
速いSMA > 遅いSMAかつ現在の方向がロングでない場合にロング。速いSMA < 遅いSMAかつ現在の方向がショートでない場合にショート。Close Lossesが無効で、オープン取引数がMax Dealsを下回る場合、追加エントリーが許可されます。
- エグジット
- 逆のクロスオーバー時。
Close Lossesが有効な場合、ポジションは即座に閉じられます。Close Lossesが無効で取引が損失状態の場合、損益分岐点で退出するためにエントリー価格で指値注文が発注されます。
パラメーター
| 名前 | 説明 | デフォルト |
|---|---|---|
FastLength |
速いSMAの期間。 | 10 |
SlowLength |
遅いSMAの期間。 | 30 |
MaxDeals |
同時取引の最大数。 | 5 |
CloseLosses |
損失取引を即座に閉じる。 | true |
Volume |
注文ボリューム。 | 1 |
CandleType |
計算用のローソク足。 | 1-minute |
注意事項
戦略はエントリーとエグジットに成行注文を使用します。CloseLosses が無効の場合、損失で閉じる代わりにエントリー価格で指値注文を発注してポジションを保護しようとします。
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()