外包线反转策略
当一根蜡烛的区间超过前一根时,即为外包线,表示波动突然增加。如果外包线的收盘方向与之前的趋势相反,行情往往会回撤。本策略在这种情况发生时做反向交易,期望价格回到均衡。
测试表明年均收益约为 121%,该策略在加密市场表现最佳。
形成外包线后,算法判断其是看涨还是看跌。若在下跌后出现看涨外包线,则在其低点下方设止损做多;若在上升后出现看跌外包线,则在其高点上方止损做空。若后续价格突破该极值则平仓。
该策略旨在捕捉剧烈冲刺后的快速反转,适合震荡市而非单边强趋势。
细节
- 入场条件:外包线收盘方向与前一波相反。
- 多/空:双向。
- 退出条件:价格突破外包线高/低点或止损。
- 止损:是,放在形态外侧。
- 默认值:
CandleType= 5 分钟StopLossPercent= 1
- 过滤条件:
- 类别: 形态
- 方向: 双向
- 指标: K线形态
- 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>
/// Outside Bar Reversal strategy.
/// Detects outside bar patterns (higher high and lower low than previous bar).
/// Bullish outside bar = buy, bearish outside bar = sell.
/// Uses SMA for exit signals.
/// </summary>
public class OutsideBarReversalStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private ICandleMessage _prevCandle;
private int _cooldown;
/// <summary>
/// MA Period.
/// </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 OutsideBarReversalStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA", "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 = 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;
if (_cooldown > 0)
{
_cooldown--;
_prevCandle = candle;
return;
}
if (_prevCandle != null)
{
// Outside bar: higher high AND lower low than previous bar
var isOutsideBar = candle.HighPrice > _prevCandle.HighPrice && candle.LowPrice < _prevCandle.LowPrice;
if (isOutsideBar)
{
var isBullish = candle.ClosePrice > candle.OpenPrice;
var isBearish = candle.ClosePrice < candle.OpenPrice;
if (Position == 0 && isBullish)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isBearish)
{
SellMarket();
_cooldown = CooldownBars;
}
}
// Exit logic using SMA
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 outside_bar_reversal_strategy(Strategy):
"""
Outside Bar Reversal strategy.
Detects outside bar patterns (higher high and lower low than previous bar).
Bullish outside bar = buy, bearish outside bar = sell.
Uses SMA for exit signals.
"""
def __init__(self):
super(outside_bar_reversal_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA", "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(outside_bar_reversal_strategy, self).OnReseted()
self._prev_candle = None
self._cooldown = 0
def OnStarted2(self, time):
super(outside_bar_reversal_strategy, self).OnStarted2(time)
self._prev_candle = None
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
if self._cooldown > 0:
self._cooldown -= 1
self._prev_candle = candle
return
if self._prev_candle is not None:
# Outside bar: higher high AND lower low than previous bar
is_outside_bar = candle.HighPrice > self._prev_candle.HighPrice and candle.LowPrice < self._prev_candle.LowPrice
if is_outside_bar:
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
if self.Position == 0 and is_bullish:
self.BuyMarket()
self._cooldown = self._cooldown_bars.Value
elif self.Position == 0 and is_bearish:
self.SellMarket()
self._cooldown = self._cooldown_bars.Value
# Exit logic using SMA
sv = float(sma_val)
if self.Position > 0 and float(candle.ClosePrice) < sv:
self.SellMarket()
self._cooldown = self._cooldown_bars.Value
elif self.Position < 0 and float(candle.ClosePrice) > sv:
self.BuyMarket()
self._cooldown = self._cooldown_bars.Value
self._prev_candle = candle
def CreateClone(self):
return outside_bar_reversal_strategy()