缺口回补反转策略
缺口回补反转利用隔夜缺口在下个交易时段迅速回补的现象。当价格跳空远离前收盘后又立即回补,往往表明最初的动能已衰竭。
测试表明年均收益约为 181%,该策略在加密市场表现最佳。
当缺口完全回补并朝开盘相反方向反转时,策略入场,目标是捕捉被困交易者平仓时的快速回撤。
风险通过百分比止损确定,动能减弱或止损触发时平仓。
细节
- 入场条件:缺口回补形成的形态。
- 多/空:双向。
- 退出条件:止损或反向信号。
- 止损:是,按百分比。
- 默认值:
CandleType= 15 分钟StopLoss= 2%
- 过滤条件:
- 类别: 形态
- 方向: 双向
- 指标: 缺口
- 止损: 有
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险级别: 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 Reversal strategy.
/// Enters when a gap between candles is followed by a reversal candle.
/// Gap up + bearish candle = short, gap down + bullish candle = long.
/// Uses SMA for exit confirmation.
/// Uses cooldown to control trade frequency.
/// </summary>
public class GapFillReversalStrategy : Strategy
{
private readonly StrategyParam<decimal> _minGapPercent;
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private ICandleMessage _prevCandle;
private int _cooldown;
/// <summary>
/// Minimum gap size as percentage.
/// </summary>
public decimal MinGapPercent
{
get => _minGapPercent.Value;
set => _minGapPercent.Value = value;
}
/// <summary>
/// MA period for exit.
/// </summary>
public int MaLength
{
get => _maLength.Value;
set => _maLength.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public GapFillReversalStrategy()
{
_minGapPercent = Param(nameof(MinGapPercent), 0.02m)
.SetRange(0.01m, 1m)
.SetDisplay("Min Gap %", "Minimum gap size percentage", "Trading");
_maLength = Param(nameof(MaLength), 20)
.SetRange(10, 50)
.SetDisplay("MA Length", "Period of SMA for exit", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCandle = null;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevCandle = null;
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevCandle == null)
{
_prevCandle = candle;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevCandle = candle;
return;
}
var prevClose = _prevCandle.ClosePrice;
// Gap detection
var gapUp = candle.OpenPrice > prevClose;
var gapDown = candle.OpenPrice < prevClose;
decimal gapPercent = 0;
if (gapUp)
gapPercent = (candle.OpenPrice - prevClose) / prevClose * 100;
else if (gapDown)
gapPercent = (prevClose - candle.OpenPrice) / prevClose * 100;
var isBearishCandle = candle.ClosePrice < candle.OpenPrice;
var isBullishCandle = candle.ClosePrice > candle.OpenPrice;
if (gapPercent >= MinGapPercent)
{
// Gap down + bullish reversal = long
if (Position == 0 && gapDown && isBullishCandle)
{
BuyMarket();
_cooldown = CooldownBars;
}
// Gap up + bearish reversal = short
else if (Position == 0 && gapUp && isBearishCandle)
{
SellMarket();
_cooldown = CooldownBars;
}
}
// Exit on SMA cross
if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevCandle = candle;
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class gap_fill_reversal_strategy(Strategy):
"""
Gap Fill Reversal strategy.
Enters when a gap between candles is followed by a reversal candle.
Gap up + bearish candle = short, gap down + bullish candle = long.
Uses SMA for exit confirmation.
"""
def __init__(self):
super(gap_fill_reversal_strategy, self).__init__()
self._min_gap_percent = self.Param("MinGapPercent", 0.02).SetDisplay("Min Gap %", "Minimum gap size percentage", "Trading")
self._ma_length = self.Param("MaLength", 20).SetDisplay("MA Length", "Period of SMA for exit", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_candle = None
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(gap_fill_reversal_strategy, self).OnReseted()
self._prev_candle = None
self._cooldown = 0
def OnStarted2(self, time):
super(gap_fill_reversal_strategy, self).OnStarted2(time)
self._prev_candle = None
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
if self._prev_candle is None:
self._prev_candle = candle
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_candle = candle
return
prev_close = float(self._prev_candle.ClosePrice)
open_price = float(candle.OpenPrice)
# Gap detection
gap_up = open_price > prev_close
gap_down = open_price < prev_close
gap_percent = 0.0
if gap_up and prev_close > 0:
gap_percent = (open_price - prev_close) / prev_close * 100.0
elif gap_down and prev_close > 0:
gap_percent = (prev_close - open_price) / prev_close * 100.0
is_bearish = candle.ClosePrice < candle.OpenPrice
is_bullish = candle.ClosePrice > candle.OpenPrice
sv = float(sma_val)
cd = self._cooldown_bars.Value
min_gap = self._min_gap_percent.Value
if gap_percent >= min_gap:
# Gap down + bullish reversal = long
if self.Position == 0 and gap_down and is_bullish:
self.BuyMarket()
self._cooldown = cd
# Gap up + bearish reversal = short
elif self.Position == 0 and gap_up and is_bearish:
self.SellMarket()
self._cooldown = cd
# Exit on SMA cross
if self.Position > 0 and float(candle.ClosePrice) < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and float(candle.ClosePrice) > sv:
self.BuyMarket()
self._cooldown = cd
self._prev_candle = candle
def CreateClone(self):
return gap_fill_reversal_strategy()