Kauf WMA 交叉策略
该策略在 Kaufman 自适应移动平均线(KAMA)与加权移动平均线(WMA)交叉时交易。向上交叉时关闭空头仓位并可在允许的情况下开多头。向下交叉时关闭多头仓位并可在允许的情况下开空头。每个方向的开仓和平仓可通过参数单独启用。
参数
- K线类型
- AMA 周期
- 快速 EMA
- 慢速 EMA
- WMA 周期
- 开多
- 开空
- 平多
- 平空
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>
/// Trades when Kaufman Adaptive Moving Average crosses Weighted Moving Average.
/// </summary>
public class KaufWmaCrossStrategy : Strategy
{
private readonly StrategyParam<int> _amaPeriod;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _wmaPeriod;
private readonly StrategyParam<bool> _buyOpen;
private readonly StrategyParam<bool> _sellOpen;
private readonly StrategyParam<bool> _buyClose;
private readonly StrategyParam<bool> _sellClose;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _minSpreadPercent;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevKama;
private decimal _prevWma;
private bool _isFirst = true;
private int _cooldownRemaining;
public int AmaPeriod { get => _amaPeriod.Value; set => _amaPeriod.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int WmaPeriod { get => _wmaPeriod.Value; set => _wmaPeriod.Value = value; }
public bool BuyOpen { get => _buyOpen.Value; set => _buyOpen.Value = value; }
public bool SellOpen { get => _sellOpen.Value; set => _sellOpen.Value = value; }
public bool BuyClose { get => _buyClose.Value; set => _buyClose.Value = value; }
public bool SellClose { get => _sellClose.Value; set => _sellClose.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public decimal MinSpreadPercent { get => _minSpreadPercent.Value; set => _minSpreadPercent.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public KaufWmaCrossStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle type", "Type of candles", "General");
_amaPeriod = Param(nameof(AmaPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("AMA length", "Kaufman AMA period", "Indicators");
_fastPeriod = Param(nameof(FastPeriod), 2)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast smoothing period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow smoothing period", "Indicators");
_wmaPeriod = Param(nameof(WmaPeriod), 13)
.SetGreaterThanZero()
.SetDisplay("WMA length", "Weighted MA period", "Indicators");
_buyOpen = Param(nameof(BuyOpen), true)
.SetDisplay("Open long", "Allow opening long position", "Signals");
_sellOpen = Param(nameof(SellOpen), true)
.SetDisplay("Open short", "Allow opening short position", "Signals");
_buyClose = Param(nameof(BuyClose), true)
.SetDisplay("Close long", "Allow closing long on sell signal", "Signals");
_sellClose = Param(nameof(SellClose), true)
.SetDisplay("Close short", "Allow closing short on buy signal", "Signals");
_minSpreadPercent = Param(nameof(MinSpreadPercent), 0.0008m)
.SetDisplay("Minimum Spread %", "Minimum normalized spread between AMA and WMA", "Filters");
_cooldownBars = Param(nameof(CooldownBars), 4)
.SetDisplay("Cooldown Bars", "Completed candles to wait after a position change", "Trading");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevKama = 0m;
_prevWma = 0m;
_isFirst = true;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var kama = new KaufmanAdaptiveMovingAverage
{
Length = AmaPeriod,
FastSCPeriod = FastPeriod,
SlowSCPeriod = SlowPeriod
};
var wma = new WeightedMovingAverage { Length = WmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(kama, wma, ProcessCandle).Start();
StartProtection(null, null);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, kama);
DrawIndicator(area, wma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal kamaValue, decimal wmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
if (_isFirst)
{
_prevKama = kamaValue;
_prevWma = wmaValue;
_isFirst = false;
return;
}
var spreadPercent = candle.ClosePrice != 0m ? Math.Abs(kamaValue - wmaValue) / candle.ClosePrice : 0m;
var crossUp = _prevKama <= _prevWma && kamaValue > wmaValue && spreadPercent >= MinSpreadPercent;
var crossDown = _prevKama >= _prevWma && kamaValue < wmaValue && spreadPercent >= MinSpreadPercent;
if (_cooldownRemaining == 0)
{
if (crossUp)
{
if (SellClose && Position < 0)
BuyMarket();
if (BuyOpen && Position <= 0)
{
BuyMarket();
_cooldownRemaining = CooldownBars;
}
}
else if (crossDown)
{
if (BuyClose && Position > 0)
SellMarket();
if (SellOpen && Position >= 0)
{
SellMarket();
_cooldownRemaining = CooldownBars;
}
}
}
_prevKama = kamaValue;
_prevWma = wmaValue;
}
}
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 KaufmanAdaptiveMovingAverage, WeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class kauf_wma_cross_strategy(Strategy):
def __init__(self):
super(kauf_wma_cross_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle type", "Type of candles", "General")
self._ama_period = self.Param("AmaPeriod", 9) \
.SetDisplay("AMA length", "Kaufman AMA period", "Indicators")
self._fast_period = self.Param("FastPeriod", 2) \
.SetDisplay("Fast EMA", "Fast smoothing period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 30) \
.SetDisplay("Slow EMA", "Slow smoothing period", "Indicators")
self._wma_period = self.Param("WmaPeriod", 13) \
.SetDisplay("WMA length", "Weighted MA period", "Indicators")
self._buy_open = self.Param("BuyOpen", True) \
.SetDisplay("Open long", "Allow opening long position", "Signals")
self._sell_open = self.Param("SellOpen", True) \
.SetDisplay("Open short", "Allow opening short position", "Signals")
self._buy_close = self.Param("BuyClose", True) \
.SetDisplay("Close long", "Allow closing long on sell signal", "Signals")
self._sell_close = self.Param("SellClose", True) \
.SetDisplay("Close short", "Allow closing short on buy signal", "Signals")
self._min_spread_percent = self.Param("MinSpreadPercent", 0.0008) \
.SetDisplay("Minimum Spread %", "Minimum normalized spread between AMA and WMA", "Filters")
self._cooldown_bars = self.Param("CooldownBars", 4) \
.SetDisplay("Cooldown Bars", "Completed candles to wait after a position change", "Trading")
self._prev_kama = 0.0
self._prev_wma = 0.0
self._is_first = True
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
@property
def ama_period(self):
return self._ama_period.Value
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def wma_period(self):
return self._wma_period.Value
@property
def buy_open(self):
return self._buy_open.Value
@property
def sell_open(self):
return self._sell_open.Value
@property
def buy_close(self):
return self._buy_close.Value
@property
def sell_close(self):
return self._sell_close.Value
@property
def min_spread_percent(self):
return self._min_spread_percent.Value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
def OnReseted(self):
super(kauf_wma_cross_strategy, self).OnReseted()
self._prev_kama = 0.0
self._prev_wma = 0.0
self._is_first = True
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(kauf_wma_cross_strategy, self).OnStarted2(time)
kama = KaufmanAdaptiveMovingAverage()
kama.Length = self.ama_period
kama.FastSCPeriod = self.fast_period
kama.SlowSCPeriod = self.slow_period
wma = WeightedMovingAverage()
wma.Length = self.wma_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(kama, wma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, kama)
self.DrawIndicator(area, wma)
self.DrawOwnTrades(area)
def process_candle(self, candle, kama_value, wma_value):
if candle.State != CandleStates.Finished:
return
kama_value = float(kama_value)
wma_value = float(wma_value)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
if self._is_first:
self._prev_kama = kama_value
self._prev_wma = wma_value
self._is_first = False
return
close = float(candle.ClosePrice)
spread_percent = abs(kama_value - wma_value) / close if close != 0 else 0.0
min_sp = float(self.min_spread_percent)
cross_up = self._prev_kama <= self._prev_wma and kama_value > wma_value and spread_percent >= min_sp
cross_down = self._prev_kama >= self._prev_wma and kama_value < wma_value and spread_percent >= min_sp
if self._cooldown_remaining == 0:
if cross_up:
if self.sell_close and self.Position < 0:
self.BuyMarket()
if self.buy_open and self.Position <= 0:
self.BuyMarket()
self._cooldown_remaining = self.cooldown_bars
elif cross_down:
if self.buy_close and self.Position > 0:
self.SellMarket()
if self.sell_open and self.Position >= 0:
self.SellMarket()
self._cooldown_remaining = self.cooldown_bars
self._prev_kama = kama_value
self._prev_wma = wma_value
def CreateClone(self):
return kauf_wma_cross_strategy()