Стратегия открытия равного максимуму/минимуму
Стратегия входит в лонг на первой свече дня, если её открытие равно минимуму, и входит в шорт, если открытие равно максимуму. Стоп-лосс устанавливается по предыдущей свече, тейк-профит рассчитывается через параметр RiskReward.
Детали
- Условия входа:
- Лонг: открытие первой свечи дня равно минимуму.
- Шорт: открытие первой свечи дня равно максимуму.
- Лонг/Шорт: обе стороны.
- Условия выхода:
- Стоп-лосс на минимуме предыдущей свечи для лонга и на максимуме предыдущей свечи для шорта.
- Тейк-профит рассчитывается от цены входа с использованием
RiskReward.
- Стопы: да.
- Значения по умолчанию:
RiskReward= 2.CandleType= TimeSpan.FromMinutes(1).TimeFrame().
- Фильтры:
- Категория: Паттерн
- Направление: обе стороны
- Индикаторы: ценовое действие
- Стопы: да
- Сложность: базовая
- Таймфрейм: внутридневной
- Сезонность: нет
- Нейросети: нет
- Дивергенция: нет
- Уровень риска: средний
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Enters when the first candle's open equals its high or low.
/// </summary>
public class IuOpenEqualToHighLowStrategy : Strategy
{
private readonly StrategyParam<decimal> _riskReward;
private readonly StrategyParam<int> _cooldownDays;
private readonly StrategyParam<DataType> _candleType;
private DateTime _currentDay;
private DateTime _nextEntryDate;
private decimal _stopPrice;
private decimal _takePrice;
private ICandleMessage _prevCandle;
/// <summary>
/// Risk/reward ratio.
/// </summary>
public decimal RiskReward
{
get => _riskReward.Value;
set => _riskReward.Value = value;
}
/// <summary>
/// Minimum days between entries.
/// </summary>
public int CooldownDays
{
get => _cooldownDays.Value;
set => _cooldownDays.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="IuOpenEqualToHighLowStrategy"/> class.
/// </summary>
public IuOpenEqualToHighLowStrategy()
{
_riskReward = Param(nameof(RiskReward), 2m)
.SetGreaterThanZero()
.SetDisplay("Risk/Reward", "Take profit to stop ratio", "Risk")
.SetOptimize(1m, 5m, 1m);
_cooldownDays = Param(nameof(CooldownDays), 1)
.SetDisplay("Cooldown Days", "Minimum number of days between new entries", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_currentDay = default;
_nextEntryDate = DateTime.MinValue;
_stopPrice = 0m;
_takePrice = 0m;
_prevCandle = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var dummyEma1 = new StockSharp.Algo.Indicators.ExponentialMovingAverage { Length = 10 };
var dummyEma2 = new StockSharp.Algo.Indicators.ExponentialMovingAverage { Length = 20 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(dummyEma1, dummyEma2, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal d1, decimal d2)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_currentDay != day)
{
_currentDay = day;
if (Position == 0 && _prevCandle != null && day >= _nextEntryDate)
{
var entryPrice = candle.OpenPrice;
var tolerance = candle.OpenPrice * 0.005m;
var isOpenNearLow = candle.OpenPrice - candle.LowPrice <= tolerance;
var isOpenNearHigh = candle.HighPrice - candle.OpenPrice <= tolerance;
if (isOpenNearLow)
{
_stopPrice = _prevCandle.LowPrice;
_takePrice = entryPrice + (entryPrice - _stopPrice) * RiskReward;
BuyMarket();
_nextEntryDate = day.AddDays(CooldownDays);
}
else if (isOpenNearHigh)
{
_stopPrice = _prevCandle.HighPrice;
_takePrice = entryPrice - (_stopPrice - entryPrice) * RiskReward;
SellMarket();
_nextEntryDate = day.AddDays(CooldownDays);
}
}
}
if (Position > 0)
{
if (candle.LowPrice <= _stopPrice || candle.HighPrice >= _takePrice)
{
SellMarket();
_stopPrice = 0m;
_takePrice = 0m;
}
}
else if (Position < 0)
{
if (candle.HighPrice >= _stopPrice || candle.LowPrice <= _takePrice)
{
BuyMarket();
_stopPrice = 0m;
_takePrice = 0m;
}
}
_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.Strategies import Strategy
class iu_open_equal_to_high_low_strategy(Strategy):
"""
Enters when candle open equals its high or low at day boundary.
Uses risk/reward management with SL/TP based on previous candle.
"""
def __init__(self):
super(iu_open_equal_to_high_low_strategy, self).__init__()
self._risk_reward = self.Param("RiskReward", 2.0) \
.SetDisplay("Risk/Reward", "Take profit to stop ratio", "Risk")
self._cooldown_days = self.Param("CooldownDays", 1) \
.SetDisplay("Cooldown Days", "Min days between entries", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._current_day = None
self._stop_price = 0.0
self._take_price = 0.0
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(iu_open_equal_to_high_low_strategy, self).OnReseted()
self._current_day = None
self._stop_price = 0.0
self._take_price = 0.0
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(iu_open_equal_to_high_low_strategy, self).OnStarted2(time)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
open_price = float(candle.OpenPrice)
close = float(candle.ClosePrice)
day = candle.OpenTime.Date
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_high = high
self._prev_low = low
self._has_prev = True
self._current_day = day
return
if self._current_day is None or self._current_day != day:
self._current_day = day
if self.Position == 0 and self._has_prev:
tolerance = open_price * 0.005
is_open_near_low = open_price - low <= tolerance
is_open_near_high = high - open_price <= tolerance
if is_open_near_low:
self._stop_price = self._prev_low
self._take_price = open_price + (open_price - self._stop_price) * self._risk_reward.Value
self.BuyMarket()
elif is_open_near_high:
self._stop_price = self._prev_high
self._take_price = open_price - (self._stop_price - open_price) * self._risk_reward.Value
self.SellMarket()
if self.Position > 0:
if low <= self._stop_price or high >= self._take_price:
self.SellMarket()
self._stop_price = 0.0
self._take_price = 0.0
elif self.Position < 0:
if high >= self._stop_price or low <= self._take_price:
self.BuyMarket()
self._stop_price = 0.0
self._take_price = 0.0
self._prev_high = high
self._prev_low = low
self._has_prev = True
def CreateClone(self):
return iu_open_equal_to_high_low_strategy()