箭头与曲线策略
概述
该策略是 MQL5 专家顾问 Exp_Arrows_Curves 的移植版本。 它使用最近的最高价和最低价构建动态价格通道,并对突破做出 反应。策略可根据用户权限和趋势方向开仓或平仓。
策略逻辑
- 在设定周期内计算最高价和最低价。
- 按百分比扩展区间以形成外部通道线。
- 使用额外的百分比创建内部止损线。
- 当价格突破上轨时做多,跌破下轨时做空。
- 当价格穿越内部止损线的另一侧时平仓。
参数
SspPeriod– 计算高低点的周期。Channel– 主要通道线的扩展百分比。StopChannel– 内部止损线的附加百分比。CandleType– K 线时间框架。BuyPosOpen/SellPosOpen– 允许开多/开空。BuyPosClose/SellPosClose– 允许平多/平空。
指标
- Highest
- Lowest
说明
策略仅在已完成的 K 线上运行。未包含止损和止盈管理,退出依靠 通道穿越信号。
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>
/// Channel breakout strategy using Highest/Lowest midpoint crossing.
/// </summary>
public class ArrowsCurvesStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHigh;
private decimal _prevLow;
private bool _hasPrev;
public int Period { get => _period.Value; set => _period.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ArrowsCurvesStrategy()
{
_period = Param(nameof(Period), 20)
.SetGreaterThanZero()
.SetDisplay("Period", "Channel period", "Parameters");
_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();
_prevHigh = 0;
_prevLow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var highest = new Highest { Length = Period };
var lowest = new Lowest { Length = Period };
SubscribeCandles(CandleType)
.Bind(highest, lowest, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal high, decimal low)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevHigh = high;
_prevLow = low;
_hasPrev = true;
return;
}
var close = candle.ClosePrice;
if (close > _prevHigh && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (close < _prevLow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevHigh = high;
_prevLow = low;
}
}
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 Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class arrows_curves_strategy(Strategy):
def __init__(self):
super(arrows_curves_strategy, self).__init__()
self._period = self.Param("Period", 20) .SetDisplay("Period", "Channel lookback period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
@property
def period(self):
return self._period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(arrows_curves_strategy, self).OnReseted()
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(arrows_curves_strategy, self).OnStarted2(time)
highest = Highest()
highest.Length = self.period
lowest = Lowest()
lowest.Length = self.period
self.SubscribeCandles(self.candle_type).Bind(highest, lowest, self.process_candle).Start()
def process_candle(self, candle, high, low):
if candle.State != CandleStates.Finished:
return
hv = float(high)
lv = float(low)
if not self._has_prev:
self._prev_high = hv
self._prev_low = lv
self._has_prev = True
return
close = float(candle.ClosePrice)
if close > self._prev_high and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif close < self._prev_low and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_high = hv
self._prev_low = lv
def CreateClone(self):
return arrows_curves_strategy()