假突破陷阱策略
假突破陷阱旨在利用关键支撑或阻力位突破后不能维持的情形。 许多交易者在突破时追入,却常看到价格迅速回落而被套。 本策略等到突破失败后,在价格重新回到区间时反向入场。 止损紧贴失败的突破位放置,以便在未形成反转时快速止损。
测试表明年均收益约为 52%,该策略在加密市场表现最佳。
细节
- 入场条件:指标信号
- 多/空:均可
- 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%
- 过滤器:
- 类别:反转
- 方向:双向
- 指标:价格行为
- 止损:有
- 复杂度:中等
- 时间框架:日内
- 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>
/// False Breakout Trap strategy.
/// Detects when price breaks a recent high/low range then reverses back.
/// Trades against the failed breakout direction.
/// Uses SMA for exit confirmation.
/// Uses cooldown to control trade frequency.
/// </summary>
public class FalseBreakoutTrapStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private readonly List<decimal> _highs = new();
private readonly List<decimal> _lows = new();
private int _cooldown;
/// <summary>
/// Lookback period for range.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// MA period for exit.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.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 FalseBreakoutTrapStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetRange(5, 50)
.SetDisplay("Lookback", "Period for high/low range", "Range");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetRange(5, 50)
.SetDisplay("MA Period", "Period for SMA 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();
_highs.Clear();
_lows.Clear();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_highs.Clear();
_lows.Clear();
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MaPeriod };
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;
// Maintain rolling high/low window
_highs.Add(candle.HighPrice);
_lows.Add(candle.LowPrice);
if (_highs.Count > LookbackPeriod + 1)
{
_highs.RemoveAt(0);
_lows.RemoveAt(0);
}
if (_highs.Count < LookbackPeriod + 1)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Find highest high and lowest low of the previous N bars (excluding current)
decimal rangeHigh = decimal.MinValue;
decimal rangeLow = decimal.MaxValue;
for (int i = 0; i < _highs.Count - 1; i++)
{
if (_highs[i] > rangeHigh) rangeHigh = _highs[i];
if (_lows[i] < rangeLow) rangeLow = _lows[i];
}
// False upside breakout: candle broke above range high but closed below it
var falseBreakUp = candle.HighPrice > rangeHigh && candle.ClosePrice < rangeHigh;
// False downside breakout: candle broke below range low but closed above it
var falseBreakDown = candle.LowPrice < rangeLow && candle.ClosePrice > rangeLow;
if (Position == 0 && falseBreakDown)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && falseBreakUp)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 false_breakout_trap_strategy(Strategy):
"""
False Breakout Trap strategy.
Detects when price breaks a recent high/low range then reverses back.
Trades against the failed breakout direction.
Uses SMA for exit confirmation.
"""
def __init__(self):
super(false_breakout_trap_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20).SetDisplay("Lookback", "Period for high/low range", "Range")
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "Period for SMA 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._highs = []
self._lows = []
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(false_breakout_trap_strategy, self).OnReseted()
self._highs = []
self._lows = []
self._cooldown = 0
def OnStarted2(self, time):
super(false_breakout_trap_strategy, self).OnStarted2(time)
self._highs = []
self._lows = []
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.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
lookback = self._lookback_period.Value
# Maintain rolling high/low window
self._highs.append(float(candle.HighPrice))
self._lows.append(float(candle.LowPrice))
if len(self._highs) > lookback + 1:
self._highs.pop(0)
self._lows.pop(0)
if len(self._highs) < lookback + 1:
return
if self._cooldown > 0:
self._cooldown -= 1
return
cd = self._cooldown_bars.Value
sv = float(sma_val)
# Find highest high and lowest low of the previous N bars (excluding current)
range_high = max(self._highs[:-1])
range_low = min(self._lows[:-1])
# False upside breakout: candle broke above range high but closed below it
false_break_up = float(candle.HighPrice) > range_high and float(candle.ClosePrice) < range_high
# False downside breakout: candle broke below range low but closed above it
false_break_down = float(candle.LowPrice) < range_low and float(candle.ClosePrice) > range_low
if self.Position == 0 and false_break_down:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and false_break_up:
self.SellMarket()
self._cooldown = cd
elif 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
def CreateClone(self):
return false_breakout_trap_strategy()