Stalin 指标策略
该策略复刻 MQL5 中的 “Stalin” 指标逻辑。 它使用两条指数移动平均线 (EMA) 以及可选的 RSI 过滤。 当快 EMA 从下向上穿越慢 EMA 且 RSI 高于 50 时产生做多信号。 当快 EMA 从上向下穿越慢 EMA 且 RSI 低于 50 时产生做空信号。
信号可以通过价格必须移动 Confirm 点以及与上一个信号间距 Flat 点来进行确认和过滤。
策略使用市价单开仓,并在出现反向信号时反手。
详情
- 入场条件:
- 多头:
FastEMA(t-1) < SlowEMA(t-1)&&FastEMA(t) > SlowEMA(t)&&RSI(t) > 50。 - 空头:
FastEMA(t-1) > SlowEMA(t-1)&&FastEMA(t) < SlowEMA(t)&&RSI(t) < 50。
- 多头:
- 确认: 价格从突破点移动
Confirm点后才入场。 - Flat 过滤: 如果距离上次信号不到
Flat点则忽略新信号。 - 多空方向: 双向。
- 退出条件: 反向信号。
- 止损: 无。
- 默认值:
FastLength= 14。SlowLength= 21。RsiLength= 17。Confirm= 0 点(禁用)。Flat= 0 点(禁用)。CandleType= 1 小时 K 线。
- 过滤器:
- 类别: 趋势跟随。
- 方向: 双向。
- 指标: 多个。
- 止损: 无。
- 复杂度: 中等。
- 时间框架: 中期。
- 季节性: 无。
- 神经网络: 无。
- 背离: 无。
- 风险水平: 中等。
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>
/// Strategy based on "Stalin" indicator.
/// Uses fast and slow EMAs with optional RSI filter.
/// </summary>
public class StalinStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<DataType> _candleType;
private ExponentialMovingAverage _fastMa;
private ExponentialMovingAverage _slowMa;
private RelativeStrengthIndex _rsi;
private decimal _prevFast;
private decimal _prevSlow;
private bool _initialized;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public StalinStrategy()
{
_fastLength = Param(nameof(FastLength), 14)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicator")
.SetOptimize(5, 30, 1);
_slowLength = Param(nameof(SlowLength), 21)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicator")
.SetOptimize(20, 50, 1);
_rsiLength = Param(nameof(RsiLength), 17)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Indicator")
.SetOptimize(10, 30, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_fastMa = null;
_slowMa = null;
_rsi = null;
_prevFast = 0;
_prevSlow = 0;
_initialized = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastMa = new ExponentialMovingAverage { Length = FastLength };
_slowMa = new ExponentialMovingAverage { Length = SlowLength };
_rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_fastMa, _slowMa, _rsi, 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 fast, decimal slow, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_initialized)
{
_prevFast = fast;
_prevSlow = slow;
_initialized = true;
return;
}
var buySignal = _prevFast <= _prevSlow && fast > slow && rsiValue > 50m;
var sellSignal = _prevFast >= _prevSlow && fast < slow && rsiValue < 50m;
if (IsFormedAndOnlineAndAllowTrading())
{
if (buySignal && Position <= 0)
BuyMarket();
else if (sellSignal && 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 ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class stalin_strategy(Strategy):
def __init__(self):
super(stalin_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 14) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicator")
self._slow_length = self.Param("SlowLength", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicator")
self._rsi_length = self.Param("RsiLength", 17) \
.SetDisplay("RSI Length", "RSI period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def rsi_length(self):
return self._rsi_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stalin_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
def OnStarted2(self, time):
super(stalin_strategy, self).OnStarted2(time)
fast_ma = ExponentialMovingAverage()
fast_ma.Length = self.fast_length
slow_ma = ExponentialMovingAverage()
slow_ma.Length = self.slow_length
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, rsi, 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, slow, rsi_value):
if candle.State != CandleStates.Finished:
return
fast = float(fast)
slow = float(slow)
rsi_value = float(rsi_value)
if not self._initialized:
self._prev_fast = fast
self._prev_slow = slow
self._initialized = True
return
buy_signal = self._prev_fast <= self._prev_slow and fast > slow and rsi_value > 50.0
sell_signal = self._prev_fast >= self._prev_slow and fast < slow and rsi_value < 50.0
if buy_signal and self.Position <= 0:
self.BuyMarket()
elif sell_signal and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return stalin_strategy()