镊子底策略
镊子底是出现在下跌后的两根蜡烛反转形态,两根蜡烛的最低点几乎相同,表明卖方未能突破该水平。
测试表明年均收益约为 184%,该策略在加密市场表现最佳。
第二根蜡烛确认共有底部后,本策略做多,预期卖压消散后出现反弹。
止损设在共用低点下方,若价格未能上升则退出。
细节
- 入场条件:形态匹配。
- 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TolerancePercent= 0.1StopLossPercent= 2 该策略只做多。止损设在形态最低点下方 StopLossPercent 处,K线收盘跌破该价位时平仓。
- 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>
/// Tweezer Bottom strategy.
/// While flat it buys after a bearish candle followed by a bullish one whose low is within TolerancePercent of the first low.
/// The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
/// </summary>
public class TweezerBottomStrategy : Strategy
{
private readonly StrategyParam<decimal> _tolerancePercent;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<ICandleMessage> _candles = [];
private decimal _stopPrice;
/// <summary>
/// How close the two extremes must be, in percent of the first.
/// </summary>
public decimal TolerancePercent
{
get => _tolerancePercent.Value;
set => _tolerancePercent.Value = value;
}
/// <summary>
/// Distance of the stop beyond the pattern, in percent.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public TweezerBottomStrategy()
{
_tolerancePercent = Param(nameof(TolerancePercent), 0.1m)
.SetNotNegative()
.SetDisplay("Tolerance %", "How close the two extremes must be, in percent of the first", "Pattern");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candles.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_stopPrice = default;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_candles.Add(candle);
if (_candles.Count > 2)
_candles.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position > 0)
{
if (candle.ClosePrice <= _stopPrice)
SellMarket(Position);
return;
}
if (Position != 0 || _candles.Count < 2)
return;
var c0 = _candles[0];
var c1 = _candles[1];
if (!(c0.ClosePrice < c0.OpenPrice && c1.ClosePrice > c1.OpenPrice && Math.Abs(c0.LowPrice - c1.LowPrice) <= c0.LowPrice * TolerancePercent / 100m))
return;
BuyMarket(Volume);
_stopPrice = Math.Min(c0.LowPrice, c1.LowPrice) * (1 - StopLossPercent / 100m);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class tweezer_bottom_strategy(Strategy):
"""
Tweezer Bottom strategy.
While flat it buys after a bearish candle followed by a bullish one whose low is within TolerancePercent of the first low.
The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
"""
def __init__(self):
super(tweezer_bottom_strategy, self).__init__()
self._tolerance_percent = self.Param("TolerancePercent", 0.1).SetNotNegative().SetDisplay("Tolerance %", "How close the two extremes must be, in percent of the first", "Pattern")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._candles = []
self._stop_price = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(tweezer_bottom_strategy, self).OnReseted()
self._candles = []
self._stop_price = Decimal(0)
def OnStarted2(self, time):
super(tweezer_bottom_strategy, self).OnStarted2(time)
self._candles = []
self._stop_price = Decimal(0)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._candles.append(candle)
if len(self._candles) > 2:
self._candles.pop(0)
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position > 0:
if candle.ClosePrice <= self._stop_price:
self.SellMarket(self.Position)
return
if self.Position != 0 or len(self._candles) < 2:
return
c0, c1 = self._candles
if not (c0.ClosePrice < c0.OpenPrice and c1.ClosePrice > c1.OpenPrice and Math.Abs(c0.LowPrice - c1.LowPrice) <= c0.LowPrice * Decimal(self._tolerance_percent.Value) / Decimal(100)):
return
self.BuyMarket(self.Volume)
self._stop_price = min(c0.LowPrice, c1.LowPrice) * (Decimal(1) - Decimal(self._stop_loss_percent.Value) / Decimal(100))
def CreateClone(self):
return tweezer_bottom_strategy()