Color Zerolag TriX OSMA 策略
概述
该策略使用由五个不同 TRIX 周期组成的零滞后 TRIX OSMA 振荡器。每个 TRIX 分量根据权重进行平滑处理,形成一个能快速响应趋势变化的振荡器。当振荡器向上转折时开多头仓位,向下转折时开空头仓位。
工作原理
- 使用三重指数移动平均和变化率计算五个 TRIX 值。
- 将 TRIX 值按权重组合得到快速趋势值。
- 对快速趋势进行两次平滑以生成零滞后 OSMA 振荡器。
- 比较最近两个振荡器值以检测趋势反转。
- 振荡器向上转折时先平掉空头再开多头,向下转折时相反。
参数
Smoothing1– 慢速趋势的平滑系数。Smoothing2– OSMA 线的平滑系数。Factor1..Factor5– 各 TRIX 分量的权重。Period1..Period5– 五个 TRIX 的周期。CandleType– 用于计算的 K 线类型。
指标
- TripleExponentialMovingAverage
- RateOfChange
- 自定义零滞后 TRIX OSMA 组合
备注
策略在所有五个 TRIX 指标形成后才产生信号。通过 StartProtection 启用止损和止盈保护。
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 a zero-lag TRIX OSMA oscillator.
/// Uses TRIX direction changes for trend reversal signals.
/// </summary>
public class ColorZerolagTrixOsmaStrategy : Strategy
{
private readonly StrategyParam<int> _trixPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOsma;
private decimal _prevPrevOsma;
private int _count;
public int TrixPeriod { get => _trixPeriod.Value; set => _trixPeriod.Value = value; }
public int SignalPeriod { get => _signalPeriod.Value; set => _signalPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ColorZerolagTrixOsmaStrategy()
{
_trixPeriod = Param(nameof(TrixPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("TRIX Period", "TRIX calculation period", "Indicator");
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Signal Period", "Signal line EMA period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevOsma = 0;
_prevPrevOsma = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var trix = new Trix { Length = TrixPeriod };
var signal = new ExponentialMovingAverage { Length = SignalPeriod };
SubscribeCandles(CandleType)
.Bind(trix, signal, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal trixValue, decimal signalValue)
{
if (candle.State != CandleStates.Finished)
return;
var osma = trixValue - signalValue;
_count++;
if (_count < 3)
{
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
return;
}
// Buy when OSMA turns up
var turnUp = _prevOsma < _prevPrevOsma && osma > _prevOsma;
// Sell when OSMA turns down
var turnDown = _prevOsma > _prevPrevOsma && osma < _prevOsma;
if (turnUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (turnDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
}
}
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 Trix, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_zerolag_trix_osma_strategy(Strategy):
def __init__(self):
super(color_zerolag_trix_osma_strategy, self).__init__()
self._trix_period = self.Param("TrixPeriod", 14) \
.SetDisplay("TRIX Period", "TRIX calculation period", "Indicator")
self._signal_period = self.Param("SignalPeriod", 9) \
.SetDisplay("Signal Period", "Signal line EMA period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
@property
def TrixPeriod(self):
return self._trix_period.Value
@TrixPeriod.setter
def TrixPeriod(self, value):
self._trix_period.Value = value
@property
def SignalPeriod(self):
return self._signal_period.Value
@SignalPeriod.setter
def SignalPeriod(self, value):
self._signal_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(color_zerolag_trix_osma_strategy, self).OnStarted2(time)
trix = Trix()
trix.Length = self.TrixPeriod
signal = ExponentialMovingAverage()
signal.Length = self.SignalPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(trix, signal, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, trix_value, signal_value):
if candle.State != CandleStates.Finished:
return
osma = float(trix_value) - float(signal_value)
self._count += 1
if self._count < 3:
self._prev_prev_osma = self._prev_osma
self._prev_osma = osma
return
turn_up = self._prev_osma < self._prev_prev_osma and osma > self._prev_osma
turn_down = self._prev_osma > self._prev_prev_osma and osma < self._prev_osma
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_osma = self._prev_osma
self._prev_osma = osma
def OnReseted(self):
super(color_zerolag_trix_osma_strategy, self).OnReseted()
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
def CreateClone(self):
return color_zerolag_trix_osma_strategy()