缺口回补策略
缺口回补策略利用连续15分钟K线之间的价格缺口。
当新的K线开盘价高于前一根K线的最高价且超过设定阈值时,策略做空并在前一最高价处挂买单,期待缺口被回补。
当开盘价低于前一最低价且超过阈值时,策略做多并在前一最低价处挂卖单。
阈值等于MinGapSize价格步长加上当前买卖价差。
细节
- 入场条件:当前开盘价与前一最高/最低价之间的缺口大于
MinGapSize加价差。 - 多空方向:双向。
- 出场条件:在前一根K线极值处的限价单。
- 止损:无。
- 默认值:
MinGapSize= 1Volume= 0.1CandleType= 15 分钟
- 筛选:
- 类别:缺口
- 方向:双向
- 指标:无
- 止损:无
- 复杂度:基础
- 时间框架:日内 (15m)
- 季节性:无
- 神经网络:无
- 背离:无
- 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>
/// Gap fill strategy using Highest/Lowest channel breakout.
/// </summary>
public class GapFillStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHigh;
private decimal _prevLow;
private bool _hasPrev;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public GapFillStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("Channel Period", "Highest/Lowest period", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "Data");
}
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 = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
SubscribeCandles(CandleType)
.Bind(highest, lowest, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highVal, decimal lowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevHigh = highVal;
_prevLow = lowVal;
_hasPrev = true;
return;
}
if (candle.ClosePrice > _prevHigh && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (candle.ClosePrice < _prevLow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevHigh = highVal;
_prevLow = lowVal;
}
}
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 gap_fill_strategy(Strategy):
def __init__(self):
super(gap_fill_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 12) \
.SetDisplay("Channel Period", "Highest/Lowest period", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "Data")
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
@property
def channel_period(self):
return self._channel_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(gap_fill_strategy, self).OnReseted()
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(gap_fill_strategy, self).OnStarted2(time)
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
self.SubscribeCandles(self.candle_type) \
.Bind(highest, lowest, self.process_candle) \
.Start()
def process_candle(self, candle, high_val, low_val):
if candle.State != CandleStates.Finished:
return
high_val = float(high_val)
low_val = float(low_val)
if not self._has_prev:
self._prev_high = high_val
self._prev_low = low_val
self._has_prev = True
return
if float(candle.ClosePrice) > self._prev_high and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif float(candle.ClosePrice) < self._prev_low and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_high = high_val
self._prev_low = low_val
def CreateClone(self):
return gap_fill_strategy()