在 GitHub 上查看
3MA Bunny Cross 策略
概述
ThreeMaBunnyCrossStrategy 是 MetaTrader 4 专家顾问 “3MA Bunny Cross” 的移植版本。该策略通过监控两个线性加权移动平均线(LWMA)在所选周期收盘价上的交叉来捕捉趋势反转。StockSharp 版本保留了原始策略在交叉后立即反向持仓的思想,并借助高级 API 提供的指标绑定与内置保护功能简化实现。
原始 MQL 描述
原始 EA 使用周期分别为 5 和 20 的两条 LWMA。当快速 LWMA 穿越慢速 LWMA 时,如果存在相反方向的持仓,则立即平仓并按交叉方向开立新仓位。系统始终只允许存在一个方向的持仓。此外,脚本在开仓前会检查最少的历史柱数以及账户可用保证金。
StockSharp 实现细节
- 策略根据
CandleType 参数(默认 15 分钟)订阅蜡烛数据,并绑定到两个 LinearWeightedMovingAverage 指标。
- 通过
Bind 直接把指标数值传递给处理方法,无需手动维护缓冲区。
- 缓存上一根蜡烛的快慢均线数值,以与 MQL 版本相同的方式检测交叉(快速均线上穿或下穿慢速均线)。
- 当出现看多交叉且当前仓位为空或为空头时,按
Volume + |Position| 的数量提交市价买单,从而平掉空头并建立新的多头;看空信号则对称提交卖单。
- 启动后调用
StartProtection(),开启内置的风险保护机制。
- 图表中绘制订阅的蜡烛、两条均线以及策略自身的成交点。
参数
- CandleType – 订阅蜡烛数据的类型(默认 15 分钟)。
- FastPeriod – 快速 LWMA 周期,默认值 5,可优化。
- SlowPeriod – 慢速 LWMA 周期,默认值 20,可优化。
指标
LinearWeightedMovingAverage(快速线,默认周期 5)。
LinearWeightedMovingAverage(慢速线,默认周期 20)。
交易规则
- 仅在蜡烛收盘后处理信号,同时确认策略已形成、在线并允许交易。
- 如果上一根蜡烛中快速 LWMA 低于或等于慢速 LWMA,而当前蜡烛高于或等于慢速 LWMA,则判定为看多交叉,平掉空头并开多。
- 如果上一根蜡烛中快速 LWMA 高于或等于慢速 LWMA,而当前蜡烛低于或等于慢速 LWMA,则判定为看空交叉,平掉多头并开空。
- 每笔新单的数量均为
Volume + |Position|,确保能够完全反转仓位,使账户在任意时刻仅持有一个方向。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// 3MA Bunny Cross strategy using weighted moving average crossover.
/// Goes long on fast WMA crossing above slow WMA, short on opposite.
/// </summary>
public class ThreeMaBunnyCrossStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ThreeMaBunnyCrossStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 5)
.SetDisplay("Fast WMA", "Fast weighted MA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 20)
.SetDisplay("Slow WMA", "Slow weighted MA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var fast = new WeightedMovingAverage { Length = FastPeriod };
var slow = new WeightedMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import WeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class three_ma_bunny_cross_strategy(Strategy):
"""3MA Bunny Cross strategy using weighted moving average crossover.
Goes long on fast WMA crossing above slow WMA, short on opposite."""
def __init__(self):
super(three_ma_bunny_cross_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 5) \
.SetDisplay("Fast WMA", "Fast weighted MA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 20) \
.SetDisplay("Slow WMA", "Slow weighted MA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
def OnReseted(self):
super(three_ma_bunny_cross_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(three_ma_bunny_cross_strategy, self).OnStarted2(time)
self._has_prev = False
fast = WeightedMovingAverage()
fast.Length = self.FastPeriod
slow = WeightedMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, self._process_candle).Start()
def _process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fast_val > slow_val
cross_down = self._prev_fast >= self._prev_slow and fast_val < slow_val
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return three_ma_bunny_cross_strategy()