BuySell 策略
该策略模拟 MetaTrader 中的 BuySell 专家。它结合移动平均线和平均真实波幅 (ATR) 来识别趋势反转。 当移动平均线转为向上时视为多头趋势,转为向下时视为空头趋势。 只有当上一根K线处于相反状态时才开仓,以确认趋势反转。止损和止盈以价格点表示。
细节
- 入场逻辑
- 做多:移动平均线由下降转为上升,且上一根K线为空头。
- 做空:移动平均线由上升转为下降,且上一根K线为多头。
- 出场逻辑
- 多头:移动平均线转为下降或触发止损/止盈。
- 空头:移动平均线转为上升或触发止损/止盈。
- 指标:简单移动平均线 (SMA) 和 ATR。
- 止损:包含价格点形式的止损和止盈。
- 权限:分别控制多空开仓与平仓。
- 默认周期:4 小时K线。
参数
| 名称 | 默认值 | 说明 |
|---|---|---|
MaPeriod |
14 | 移动平均线周期。 |
AtrPeriod |
60 | ATR 周期。 |
StopLoss |
1000 | 止损点数。 |
TakeProfit |
2000 | 止盈点数。 |
AllowLongEntry |
true | 允许开多。 |
AllowShortEntry |
true | 允许开空。 |
AllowLongExit |
true | 允许平多。 |
AllowShortExit |
true | 允许平空。 |
CandleType |
H4 | 计算所用周期。 |
使用方法
- 将策略添加到您的 StockSharp 项目中。
- 根据需要调整参数。
- 在实盘或回测模式下运行,交易通过
BuyMarket和SellMarket完成。
该方法适用于趋势反转伴随 ATR 波动变化的市场环境。
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>
/// Buy/Sell strategy based on EMA crossover.
/// </summary>
public class BuySellStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
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 BuySellStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 28)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
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 buy_sell_strategy(Strategy):
def __init__(self):
super(buy_sell_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) .SetDisplay("Fast Period", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 28) .SetDisplay("Slow Period", "Slow EMA period", "Indicator")
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(buy_sell_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(buy_sell_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 buy_sell_strategy()