X Trader V3 策略
该策略交易基于两条中位价移动平均线的交叉。第一条移动平均线较长并带有位移,第二条非常短。当第一条均线自上而下穿越第二条并在两根K线内保持在其下方且两根K线前仍在上方时买入。相反条件下卖出。持仓可在反向信号出现时平仓。交易仅在设定的日内时间窗口内进行,并可使用保护性止损和止盈。
细节
- 入场条件:
- 中位价SMA(
Ma1Period)下穿中位价SMA(Ma2Period)并连续两根K线位于其下方 ⇒ 当AllowBuy为真时买入。 - 中位价SMA(
Ma1Period)上穿中位价SMA(Ma2Period)并连续两根K线位于其上方 ⇒ 当AllowSell为真时卖出。 - K线时间在
StartTime与EndTime之间。
- 中位价SMA(
- 方向:多空皆可。
- 出场条件:
- 反向交叉且
CloseOnReverseSignal为真时平仓。
- 反向交叉且
- 止损:
- 可选的以
TakeProfitTicks和StopLossTicks指定的止盈止损(以tick计)。
- 可选的以
- 默认参数:
Ma1Period= 16Ma2Period= 1TakeProfitTicks= 150StopLossTicks= 100
- 过滤器:
- 类型:交叉
- 方向:多空
- 指标:SMA
- 止损:可选
- 复杂度:低
- 时间框架:任意
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中等
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>
/// X Trader V3 strategy based on EMA crossover.
/// </summary>
public class XTraderV3Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public XTraderV3Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
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 fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}
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 x_trader_v3_strategy(Strategy):
def __init__(self):
super(x_trader_v3_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 12) .SetDisplay("Fast Period", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 26) .SetDisplay("Slow Period", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(x_trader_v3_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(x_trader_v3_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
self.SubscribeCandles(self.candle_type).Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fv = float(fast_val)
sv = float(slow_val)
if not self._has_prev:
self._prev_fast = fv
self._prev_slow = sv
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return x_trader_v3_strategy()