零滞后动量OSMA策略
该策略使用五个动量指标构建零滞后的动量OSMA振荡器。 当振荡器两根K线前的值低于三根K线前的值时,被视为上升趋势。 此时如果最近一次的值高于两根K线前的值,则关闭空头仓位并可开多头仓位。 当两根K线前的值高于三根K线前的值时为下降趋势,策略将平掉多头仓位,若最近一次的值低于两根K线前的值,则可以开空头仓位。
参数
Smoothing1– 慢速趋势的第一平滑系数。Smoothing2– OSMA线的第二平滑系数。Factor1-5– 各动量组件的权重。MomentumPeriod1-5– 动量指标的周期。CandleType– 计算所用的K线周期。BuyOpen– 允许开多头。SellOpen– 允许开空头。BuyClose– 允许平多头。SellClose– 允许平空头。
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 the zero-lag momentum OSMA indicator.
/// Uses weighted momentum composite with EMA smoothing for trend detection.
/// </summary>
public class ColorZerolagMomentumOsmaStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOsma;
private decimal _prevPrevOsma;
private int _count;
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 ColorZerolagMomentumOsmaStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "General");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle Type", "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 fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
var osma = fastValue - slowValue;
_count++;
if (_count < 3)
{
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
return;
}
// Buy when OSMA turns up (was decreasing, now increasing)
var turnUp = _prevOsma < _prevPrevOsma && osma > _prevOsma;
// Sell when OSMA turns down (was increasing, now decreasing)
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_zerolag_momentum_osma_strategy(Strategy):
def __init__(self):
super(color_zerolag_momentum_osma_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast Period", "Fast EMA period", "General")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow Period", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle Type", "General")
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
@property
def FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_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_momentum_osma_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(fast, slow, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
osma = float(fast_value) - float(slow_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_momentum_osma_strategy, self).OnReseted()
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
def CreateClone(self):
return color_zerolag_momentum_osma_strategy()