Color Zero Lag MA 策略
该策略使用零滞后移动平均线(Zero Lag Moving Average)来捕捉趋势反转。当 ZLMA 曲线从下降转为上升时开多仓,从上升转为下降时开空仓。若指标斜率反向,则平掉当前仓位。
参数
- Length:零滞后均线的周期。
- Candle Type:策略使用的 K 线周期。
- Open Buy:允许开多仓。
- Open Sell:允许开空仓。
- Close Buy:当 ZLMA 向下转折时平多仓。
- Close Sell:当 ZLMA 向上转折时平空仓。
逻辑
- 订阅指定周期的 K 线。
- 计算零滞后移动平均值。
- 跟踪最近两次 ZLMA 的数值以判断斜率方向。
- 斜率从下行转为上行时,平空并开多。
- 斜率从上行转为下行时,平多并开空。
该方法利用指标颜色的变化来捕捉可能的趋势反转。
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 that follows ZLEMA direction changes for trend signals.
/// </summary>
public class ColorZeroLagMaStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevZlma;
private decimal _prevPrevZlma;
private int _count;
public int Length { get => _length.Value; set => _length.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ColorZeroLagMaStrategy()
{
_length = Param(nameof(Length), 12)
.SetGreaterThanZero()
.SetDisplay("Length", "ZLEMA length", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevZlma = 0;
_prevPrevZlma = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var zlma = new ZeroLagExponentialMovingAverage { Length = Length };
SubscribeCandles(CandleType)
.Bind(zlma, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal zlmaValue)
{
if (candle.State != CandleStates.Finished)
return;
_count++;
if (_count < 3)
{
_prevPrevZlma = _prevZlma;
_prevZlma = zlmaValue;
return;
}
// Buy when ZLEMA turns up
var turnUp = _prevZlma < _prevPrevZlma && zlmaValue > _prevZlma;
// Sell when ZLEMA turns down
var turnDown = _prevZlma > _prevPrevZlma && zlmaValue < _prevZlma;
if (turnUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (turnDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevZlma = _prevZlma;
_prevZlma = zlmaValue;
}
}
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 ZeroLagExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_zero_lag_ma_strategy(Strategy):
"""
Strategy that follows ZLEMA direction changes for trend signals.
"""
def __init__(self):
super(color_zero_lag_ma_strategy, self).__init__()
self._length = self.Param("Length", 12) \
.SetDisplay("Length", "ZLEMA length", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_zlma = 0.0
self._prev_prev_zlma = 0.0
self._count = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_zero_lag_ma_strategy, self).OnReseted()
self._prev_zlma = 0.0
self._prev_prev_zlma = 0.0
self._count = 0
def OnStarted2(self, time):
super(color_zero_lag_ma_strategy, self).OnStarted2(time)
zlma = ZeroLagExponentialMovingAverage()
zlma.Length = self._length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(zlma, self.on_process).Start()
def on_process(self, candle, zlma_val):
if candle.State != CandleStates.Finished:
return
self._count += 1
if self._count < 3:
self._prev_prev_zlma = self._prev_zlma
self._prev_zlma = zlma_val
return
turn_up = self._prev_zlma < self._prev_prev_zlma and zlma_val > self._prev_zlma
turn_down = self._prev_zlma > self._prev_prev_zlma and zlma_val < self._prev_zlma
if turn_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif turn_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_zlma = self._prev_zlma
self._prev_zlma = zlma_val
def CreateClone(self):
return color_zero_lag_ma_strategy()