Trigger Line 策略
Trigger Line 策略结合加权趋势线和 LSMA(最小二乘移动平均)。当加权趋势线向上穿越 LSMA 时开多仓,向下穿越时开空仓。
工作原理
- 多头开仓: 加权趋势线向上穿越 LSMA。
- 多头平仓: 加权趋势线向下穿越 LSMA。
- 空头开仓: 加权趋势线向下穿越 LSMA。
- 空头平仓: 加权趋势线向上穿越 LSMA。
- 指标: 加权移动平均、线性回归 (LSMA)。
参数
- WT Period – 加权趋势线的周期。
- LSMA Period – LSMA 平滑周期。
- Candle Type – 计算使用的蜡烛周期。
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>
/// Trigger Line cross strategy based on weighted trend line and LSMA.
/// </summary>
public class TriggerLineStrategy : Strategy
{
private readonly StrategyParam<int> _wmaPeriod;
private readonly StrategyParam<int> _lsmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private WeightedMovingAverage _wma;
private LinearReg _lsma;
private bool _initialized;
private decimal _prevLine;
private decimal _prevSignal;
public TriggerLineStrategy()
{
_wmaPeriod = Param(nameof(WmaPeriod), 24)
.SetDisplay("WT Period", "Period for weighted trend line", "Trigger Line");
_lsmaPeriod = Param(nameof(LsmaPeriod), 6)
.SetDisplay("LSMA Period", "Period for least squares moving average", "Trigger Line");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Candle type used for the strategy", "General");
}
public int WmaPeriod
{
get => _wmaPeriod.Value;
set => _wmaPeriod.Value = value;
}
public int LsmaPeriod
{
get => _lsmaPeriod.Value;
set => _lsmaPeriod.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_initialized = false;
_prevLine = 0m;
_prevSignal = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_initialized = false;
_prevLine = 0m;
_prevSignal = 0m;
_wma = new WeightedMovingAverage { Length = WmaPeriod };
_lsma = new LinearReg { Length = LsmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_wma, _lsma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal wmaValue, decimal lsmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_initialized)
{
_prevLine = wmaValue;
_prevSignal = lsmaValue;
_initialized = true;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevLine = wmaValue;
_prevSignal = lsmaValue;
return;
}
var crossUp = _prevLine <= _prevSignal && wmaValue > lsmaValue;
var crossDown = _prevLine >= _prevSignal && wmaValue < lsmaValue;
if (crossUp && Position <= 0)
BuyMarket();
else if (crossDown && Position >= 0)
SellMarket();
_prevLine = wmaValue;
_prevSignal = lsmaValue;
}
}
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 WeightedMovingAverage, LinearReg
from StockSharp.Algo.Strategies import Strategy
class trigger_line_strategy(Strategy):
def __init__(self):
super(trigger_line_strategy, self).__init__()
self._wma_period = self.Param("WmaPeriod", 24) \
.SetDisplay("WT Period", "Period for weighted trend line", "Trigger Line")
self._lsma_period = self.Param("LsmaPeriod", 6) \
.SetDisplay("LSMA Period", "Period for least squares moving average", "Trigger Line")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Candle type used for the strategy", "General")
self._initialized = False
self._prev_line = 0.0
self._prev_signal = 0.0
@property
def wma_period(self):
return self._wma_period.Value
@property
def lsma_period(self):
return self._lsma_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(trigger_line_strategy, self).OnReseted()
self._initialized = False
self._prev_line = 0.0
self._prev_signal = 0.0
def OnStarted2(self, time):
super(trigger_line_strategy, self).OnStarted2(time)
self._initialized = False
self._prev_line = 0.0
self._prev_signal = 0.0
wma = WeightedMovingAverage()
wma.Length = int(self.wma_period)
lsma = LinearReg()
lsma.Length = int(self.lsma_period)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(wma, lsma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def process_candle(self, candle, wma_value, lsma_value):
if candle.State != CandleStates.Finished:
return
wma_value = float(wma_value)
lsma_value = float(lsma_value)
if not self._initialized:
self._prev_line = wma_value
self._prev_signal = lsma_value
self._initialized = True
return
cross_up = self._prev_line <= self._prev_signal and wma_value > lsma_value
cross_down = self._prev_line >= self._prev_signal and wma_value < lsma_value
if cross_up and self.Position <= 0:
self.BuyMarket()
elif cross_down and self.Position >= 0:
self.SellMarket()
self._prev_line = wma_value
self._prev_signal = lsma_value
def CreateClone(self):
return trigger_line_strategy()