Color 3rd Generation XMA 策略
该策略基于第三代移动平均线的方向进行交易。该指标由两个指数移动平均线组合而成,当上升时显示为蓝色,下跌时显示为粉色。指标向上转变时记录买入信号,向下转变时记录卖出信号。
只有在信号出现后的用户指定时间才会下单。持仓还可以在出现相反信号或达到设置的持有时间后平仓,并支持以点数表示的止损和止盈。
参数
- Length – 第三代平均线的平滑周期。
- StartHour – 允许开仓的小时。
- StartMinute – 允许开仓的分钟。
- HoldMinutes – 持仓的最长时间(分钟)。
- Volume – 下单数量。
- StopLoss – 止损距离(点),
0表示不使用。 - TakeProfit – 止盈距离(点),
0表示不使用。 - UseLongEntries – 允许开多。
- UseShortEntries – 允许开空。
- CloseLongBySignal – 出现卖出信号时平多。
- CloseShortBySignal – 出现买入信号时平空。
- CandleType – 用于计算的K线周期。
逻辑
- 订阅选定周期的K线。
- 对每根K线计算第三代移动平均线。
- 判断相邻K线之间平均线的上升或下降。
- 根据方向保存买入或卖出信号。
- 在指定时间按保存的信号方向入场。
- 出现相反信号、达到持有时间或触发止损/止盈时平仓。
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>
/// Color 3rd Generation XMA strategy.
/// Uses two EMAs of different periods to approximate 3rd generation moving average.
/// Opens long when fast EMA crosses above slow EMA, short when crosses below.
/// </summary>
public class Color3RdGenXmaStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<decimal> _minSpread;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _isFirst = true;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public decimal MinSpread { get => _minSpread.Value; set => _minSpread.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public Color3RdGenXmaStrategy()
{
_fastLength = Param(nameof(FastLength), 20)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "General");
_slowLength = Param(nameof(SlowLength), 50)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "General");
_minSpread = Param(nameof(MinSpread), 20m)
.SetGreaterThanZero()
.SetDisplay("Min Spread", "Minimum EMA spread in price steps", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_isFirst = true;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0m;
_prevSlow = 0m;
_isFirst = true;
var fastEma = new ExponentialMovingAverage { Length = FastLength };
var slowEma = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (_isFirst)
{
_prevFast = fast;
_prevSlow = slow;
_isFirst = false;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevFast = fast;
_prevSlow = slow;
return;
}
var step = Security.PriceStep ?? 1m;
var spread = Math.Abs(fast - slow);
if (spread < MinSpread * step)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
var prevAbove = _prevFast > _prevSlow;
var curAbove = fast > slow;
if (!prevAbove && curAbove && Position <= 0)
BuyMarket();
else if (prevAbove && !curAbove && Position >= 0)
SellMarket();
_prevFast = fast;
_prevSlow = slow;
}
}
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_3rd_gen_xma_strategy(Strategy):
def __init__(self):
super(color_3rd_gen_xma_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 20) \
.SetDisplay("Fast EMA", "Fast EMA period", "General")
self._slow_length = self.Param("SlowLength", 50) \
.SetDisplay("Slow EMA", "Slow EMA period", "General")
self._min_spread = self.Param("MinSpread", 20.0) \
.SetDisplay("Min Spread", "Minimum EMA spread in price steps", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for calculations", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_first = True
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def min_spread(self):
return self._min_spread.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_3rd_gen_xma_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_first = True
def OnStarted2(self, time):
super(color_3rd_gen_xma_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._is_first = True
fast_ema = ExponentialMovingAverage()
fast_ema.Length = int(self.fast_length)
slow_ema = ExponentialMovingAverage()
slow_ema.Length = int(self.slow_length)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast = float(fast)
slow = float(slow)
if self._is_first:
self._prev_fast = fast
self._prev_slow = slow
self._is_first = False
return
spread = abs(fast - slow)
ms = float(self.min_spread)
price_step = float(self.Security.PriceStep) if self.Security.PriceStep is not None else 1.0
if spread < ms * price_step:
self._prev_fast = fast
self._prev_slow = slow
return
prev_above = self._prev_fast > self._prev_slow
cur_above = fast > slow
if not prev_above and cur_above and self.Position <= 0:
self.BuyMarket()
elif prev_above and not cur_above and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return color_3rd_gen_xma_strategy()