Color Zerolag JJRSX 戦略
この戦略は、MetaTraderのColorZerolagJJRSXエキスパートのロジックを再現します。2つの平滑化されたRSIオシレーターを使用して、元のColorZerolagJJRSXインジケーターを近似します。高速線と低速線のクロスがトレードシグナルを生成します。
仕組み
- 高速オシレーターが低速オシレーターを下抜けしたとき、戦略は既存のショートポジションを決済し、必要に応じて新しいロングポジションを開きます。
- 高速オシレーターが低速オシレーターを上抜けしたとき、戦略は既存のロングポジションを決済し、必要に応じて新しいショートポジションを開きます。
- 保護的なストップロスとテイクプロフィットのレベルは、組み込みの
StartProtectionメカニズムを使って適用されます。
パラメーター
| 名前 | 説明 |
|---|---|
FastPeriod |
高速JJRSX線の期間。 |
SlowPeriod |
低速JJRSX線の期間。 |
BuyOpen |
ロングポジションの開設を許可する。 |
SellOpen |
ショートポジションの開設を許可する。 |
BuyClose |
反対シグナルで既存のロングポジションを決済する。 |
SellClose |
反対シグナルで既存のショートポジションを決済する。 |
StopLoss |
価格単位のストップロスレベル。 |
TakeProfit |
価格単位のテイクプロフィットレベル。 |
CandleType |
計算に使用する時間軸。 |
注記
- 実装は組み込みインジケーターと高レベルの
BindAPIを使用します。 - ボリュームは戦略の
Volumeプロパティから取得されます。 - C# と Python の両方の実装が提供されています。
参考
元のMQLソースコードはこのリポジトリのMQL/13854にあります。
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>
/// Strategy based on crossing of two RSI lines (fast and slow).
/// </summary>
public class ColorZerolagJjrsxStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevFast;
private decimal? _prevSlow;
private readonly StrategyParam<bool> _buyOpen, _sellOpen, _buyClose, _sellClose;
private Order _pending;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public bool BuyOpen { get => _buyOpen.Value; set => _buyOpen.Value = value; }
public bool SellOpen { get => _sellOpen.Value; set => _sellOpen.Value = value; }
public bool BuyClose { get => _buyClose.Value; set => _buyClose.Value = value; }
public bool SellClose { get => _sellClose.Value; set => _sellClose.Value = value; }
public ColorZerolagJjrsxStrategy()
{
_buyOpen = Param(nameof(BuyOpen), true);
_sellOpen = Param(nameof(SellOpen), true);
_buyClose = Param(nameof(BuyClose), true);
_sellClose = Param(nameof(SellClose), true);
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast RSI period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow RSI period", "Indicator");
_stopLoss = Param(nameof(StopLoss), 2m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfit = Param(nameof(TakeProfit), 3m)
.SetDisplay("Take Profit %", "Take profit percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Time frame for indicator", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevSlow = null;
_pending = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_pending = null;
var fastRsi = new RelativeStrengthIndex { Length = FastPeriod };
var slowRsi = new RelativeStrengthIndex { Length = SlowPeriod };
StartProtection(
takeProfit: new Unit(TakeProfit, UnitTypes.Absolute),
stopLoss: new Unit(StopLoss, UnitTypes.Absolute),
useMarketOrders: true);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastRsi, slowRsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastRsi);
DrawIndicator(area, slowRsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFast is null || _prevSlow is null)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
var crossDown = _prevFast > _prevSlow && fast < slow;
var crossUp = _prevFast < _prevSlow && fast > slow;
if (IsFormedAndOnlineAndAllowTrading() && (_pending is null || _pending.State is OrderStates.Done or OrderStates.Failed))
{
if (crossDown)
{
if (Position < 0m && SellClose) _pending = BuyMarket(-Position + (BuyOpen ? Volume : 0m));
else if (Position == 0m && BuyOpen) _pending = BuyMarket(Volume);
}
else if (crossUp)
{
if (Position > 0m && BuyClose) _pending = SellMarket(Position + (SellOpen ? Volume : 0m));
else if (Position == 0m && SellOpen) _pending = SellMarket(Volume);
}
}
_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, Unit, UnitTypes, OrderStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class color_zerolag_jjrsx_strategy(Strategy):
def __init__(self):
super(color_zerolag_jjrsx_strategy, self).__init__()
self._buy_open = self.Param("BuyOpen", True)
self._sell_open = self.Param("SellOpen", True)
self._buy_close = self.Param("BuyClose", True)
self._sell_close = self.Param("SellClose", True)
self._pending = None
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast Period", "Fast RSI period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow Period", "Slow RSI period", "Indicator")
self._stop_loss = self.Param("StopLoss", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit = self.Param("TakeProfit", 3.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Time frame for indicator", "General")
self._prev_fast = None
self._prev_slow = None
self._pending = None
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_pct(self):
return self._stop_loss.Value
@property
def take_profit_pct(self):
return self._take_profit.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_zerolag_jjrsx_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(color_zerolag_jjrsx_strategy, self).OnStarted2(time)
self._pending = None
fast_rsi = RelativeStrengthIndex()
fast_rsi.Length = self.fast_period
slow_rsi = RelativeStrengthIndex()
slow_rsi.Length = self.slow_period
self.StartProtection(
takeProfit=Unit(self.take_profit_pct, UnitTypes.Absolute),
stopLoss=Unit(self.stop_loss_pct, UnitTypes.Absolute),
useMarketOrders=True)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_rsi, slow_rsi, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_rsi)
self.DrawIndicator(area, slow_rsi)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast = float(fast)
slow = float(slow)
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fast
self._prev_slow = slow
return
cross_down = self._prev_fast > self._prev_slow and fast < slow
cross_up = self._prev_fast < self._prev_slow and fast > slow
if self.IsFormedAndOnlineAndAllowTrading() and (self._pending is None or self._pending.State in (OrderStates.Done, OrderStates.Failed)):
if cross_down:
if self.Position < 0 and self._sell_close.Value:
self._pending = self.BuyMarket(-self.Position + (self.Volume if self._buy_open.Value else 0))
elif self.Position == 0 and self._buy_open.Value:
self._pending = self.BuyMarket(self.Volume)
elif cross_up:
if self.Position > 0 and self._buy_close.Value:
self._pending = self.SellMarket(self.Position + (self.Volume if self._sell_open.Value else 0))
elif self.Position == 0 and self._sell_open.Value:
self._pending = self.SellMarket(self.Volume)
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return color_zerolag_jjrsx_strategy()