Стратегия «Пинцетное дно»
Пинцетное дно — разворотный двухсвечный паттерн, который появляется после снижения. У обеих свечей схожие минимумы, показывая, что продавцы не смогли продавить уровень ниже.
Тестирование показывает среднегодичную доходность около 184%. Стратегию лучше запускать на крипторынке.
Эта стратегия открывает длинную позицию после того, как вторая свеча подтверждает общую нижнюю границу, ожидая отскока, когда давление продаж иссякает.
Стопы ставятся чуть ниже общего минимума для управления риском, а позиция закрывается, если цена не начинает расти.
Детали
- Условия входа: совпадение паттерна
- Лонг/шорт: оба направления
- Условия выхода: стоп-лосс или противоположный сигнал
- Стопы: да, на процентной основе
- Значения по умолчанию:
CandleType= 15 минутStopLoss= 2%
- Фильтры:
- Категория: Паттерн
- Направление: Оба
- Индикаторы: Свечные
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейронные сети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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.
/// Enters long on Tweezer Bottom (bearish then bullish with matching lows).
/// Enters short on Tweezer Top (bullish then bearish with matching highs).
/// Uses SMA for exit confirmation.
/// Uses cooldown to control trade frequency.
/// </summary>
public class TweezerBottomStrategy : Strategy
{
private readonly StrategyParam<decimal> _tolerancePercent;
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private ICandleMessage _prevCandle;
private int _cooldown;
/// <summary>
/// Tolerance for matching lows/highs.
/// </summary>
public decimal TolerancePercent
{
get => _tolerancePercent.Value;
set => _tolerancePercent.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 TweezerBottomStrategy()
{
_tolerancePercent = Param(nameof(TolerancePercent), 0.1m)
.SetRange(0.05m, 1m)
.SetDisplay("Tolerance %", "Max diff between lows/highs", "Pattern");
_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 lowTolerance = _prevCandle.LowPrice * (TolerancePercent / 100m);
var highTolerance = _prevCandle.HighPrice * (TolerancePercent / 100m);
// Tweezer Bottom: prev bearish, current bullish, matching lows
var isTweezerBottom =
_prevCandle.ClosePrice < _prevCandle.OpenPrice &&
candle.ClosePrice > candle.OpenPrice &&
Math.Abs(_prevCandle.LowPrice - candle.LowPrice) <= lowTolerance;
// Tweezer Top: prev bullish, current bearish, matching highs
var isTweezerTop =
_prevCandle.ClosePrice > _prevCandle.OpenPrice &&
candle.ClosePrice < candle.OpenPrice &&
Math.Abs(_prevCandle.HighPrice - candle.HighPrice) <= highTolerance;
if (Position == 0 && isTweezerBottom)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isTweezerTop)
{
SellMarket();
_cooldown = CooldownBars;
}
else 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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class tweezer_bottom_strategy(Strategy):
"""
Tweezer Bottom strategy.
Enters long on Tweezer Bottom (bearish then bullish with matching lows).
Enters short on Tweezer Top (bullish then bearish with matching highs).
Uses SMA for exit confirmation.
"""
def __init__(self):
super(tweezer_bottom_strategy, self).__init__()
self._tolerance_percent = self.Param("TolerancePercent", 0.1).SetDisplay("Tolerance %", "Max diff between lows/highs", "Pattern")
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(tweezer_bottom_strategy, self).OnReseted()
self._prev_candle = None
self._cooldown = 0
def OnStarted2(self, time):
super(tweezer_bottom_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
tol = self._tolerance_percent.Value
low_tolerance = float(self._prev_candle.LowPrice) * (tol / 100.0)
high_tolerance = float(self._prev_candle.HighPrice) * (tol / 100.0)
cd = self._cooldown_bars.Value
sv = float(sma_val)
# Tweezer Bottom: prev bearish, current bullish, matching lows
is_tweezer_bottom = (
self._prev_candle.ClosePrice < self._prev_candle.OpenPrice and
candle.ClosePrice > candle.OpenPrice and
abs(float(self._prev_candle.LowPrice) - float(candle.LowPrice)) <= low_tolerance
)
# Tweezer Top: prev bullish, current bearish, matching highs
is_tweezer_top = (
self._prev_candle.ClosePrice > self._prev_candle.OpenPrice and
candle.ClosePrice < candle.OpenPrice and
abs(float(self._prev_candle.HighPrice) - float(candle.HighPrice)) <= high_tolerance
)
if self.Position == 0 and is_tweezer_bottom:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and is_tweezer_top:
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
self._prev_candle = candle
def CreateClone(self):
return tweezer_bottom_strategy()