Стратегия Vegas Tunnel
Использует четыре EMA для формирования туннеля и опциональные ATR-стопы. Открывает лонг, когда цена и быстрая EMA выше медленных и туннельных EMA, и шорт, когда ниже.
Детали
- Критерий входа: положение EMA и цены относительно туннеля
- Длин/Шорт: обе стороны
- Критерий выхода: стоп-лосс или тейк-профит
- Стопы: на базе ATR или EMA
- Значения по умолчанию:
RiskRewardRatio= 2UseAtr= trueAtrLength= 14AtrMult= 1.5
- Фильтры:
- Категория: Тренд
- Направление: Обе стороны
- Индикаторы: EMA, ATR
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Vegas Tunnel strategy using EMA tunnel crossover.
/// Goes long when fast EMA crosses above the tunnel, short when below.
/// Uses StdDev-based stops and risk/reward targets.
/// </summary>
public class VegasTunnelStrategy : Strategy
{
private readonly StrategyParam<decimal> _riskRewardRatio;
private readonly StrategyParam<decimal> _stopMult;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
private decimal _takePrice;
private decimal _stdVal;
private decimal _prevSlow;
private decimal _prevTunnel;
private int _cooldown;
public decimal RiskRewardRatio { get => _riskRewardRatio.Value; set => _riskRewardRatio.Value = value; }
public decimal StopMult { get => _stopMult.Value; set => _stopMult.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VegasTunnelStrategy()
{
_riskRewardRatio = Param(nameof(RiskRewardRatio), 2m)
.SetGreaterThanZero()
.SetDisplay("Risk/Reward", "Risk to reward ratio", "General");
_stopMult = Param(nameof(StopMult), 3m)
.SetGreaterThanZero()
.SetDisplay("Stop Mult", "StdDev multiplier for stop", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stopPrice = 0;
_takePrice = 0;
_stdVal = 0;
_prevSlow = 0;
_prevTunnel = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var emaSlow = new ExponentialMovingAverage { Length = 144 };
var emaTunnel = new ExponentialMovingAverage { Length = 169 };
var stdDev = new StandardDeviation { Length = 20 };
_stopPrice = 0;
_takePrice = 0;
_stdVal = 0;
_prevSlow = 0;
_prevTunnel = 0;
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(stdDev, (candle, val) => _stdVal = val)
.Bind(emaSlow, emaTunnel, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, emaSlow);
DrawIndicator(area, emaTunnel);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal slow, decimal tunnel)
{
if (candle.State != CandleStates.Finished)
return;
if (_cooldown > 0)
_cooldown--;
if (_stdVal <= 0)
{
_prevSlow = slow;
_prevTunnel = tunnel;
return;
}
// Exit management
if (Position > 0 && _stopPrice > 0)
{
if (candle.LowPrice <= _stopPrice || candle.HighPrice >= _takePrice)
{
SellMarket();
_stopPrice = 0;
_takePrice = 0;
_cooldown = 80;
}
}
else if (Position < 0 && _stopPrice > 0)
{
if (candle.HighPrice >= _stopPrice || candle.LowPrice <= _takePrice)
{
BuyMarket();
_stopPrice = 0;
_takePrice = 0;
_cooldown = 80;
}
}
if (_cooldown > 0 || _prevSlow == 0)
{
_prevSlow = slow;
_prevTunnel = tunnel;
return;
}
// Entry: slow EMA (144) crosses tunnel EMA (169)
var slowCrossAboveTunnel = _prevSlow <= _prevTunnel && slow > tunnel;
var slowCrossBelowTunnel = _prevSlow >= _prevTunnel && slow < tunnel;
if (slowCrossAboveTunnel && candle.ClosePrice > tunnel && Position <= 0)
{
BuyMarket();
var entry = candle.ClosePrice;
_stopPrice = entry - StopMult * _stdVal;
_takePrice = entry + (entry - _stopPrice) * RiskRewardRatio;
_cooldown = 80;
}
else if (slowCrossBelowTunnel && candle.ClosePrice < tunnel && Position >= 0)
{
SellMarket();
var entry = candle.ClosePrice;
_stopPrice = entry + StopMult * _stdVal;
_takePrice = entry - (_stopPrice - entry) * RiskRewardRatio;
_cooldown = 80;
}
_prevSlow = slow;
_prevTunnel = tunnel;
}
}
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 ExponentialMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class vegas_tunnel_strategy(Strategy):
def __init__(self):
super(vegas_tunnel_strategy, self).__init__()
self._risk_reward_ratio = self.Param("RiskRewardRatio", 2) \
.SetDisplay("Risk/Reward", "Risk to reward ratio", "General")
self._stop_mult = self.Param("StopMult", 3) \
.SetDisplay("Stop Mult", "StdDev multiplier for stop", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Timeframe", "General")
self._stop_price = 0.0
self._take_price = 0.0
self._std_val = 0.0
self._prev_slow = 0.0
self._prev_tunnel = 0.0
self._cooldown = 0
@property
def risk_reward_ratio(self):
return self._risk_reward_ratio.Value
@property
def stop_mult(self):
return self._stop_mult.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vegas_tunnel_strategy, self).OnReseted()
self._stop_price = 0.0
self._take_price = 0.0
self._std_val = 0.0
self._prev_slow = 0.0
self._prev_tunnel = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(vegas_tunnel_strategy, self).OnStarted2(time)
ema_slow = ExponentialMovingAverage()
ema_slow.Length = 144
ema_tunnel = ExponentialMovingAverage()
ema_tunnel.Length = 169
std_dev = StandardDeviation()
std_dev.Length = 20
subscription = self.SubscribeCandles(self.candle_type)
subscription \
.Bind(std_dev, self._on_std) \
.Bind(ema_slow, ema_tunnel, self.on_process) \
.Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema_slow)
self.DrawIndicator(area, ema_tunnel)
self.DrawOwnTrades(area)
def _on_std(self, candle, val):
self._std_val = float(val)
def on_process(self, candle, slow, tunnel):
if candle.State != CandleStates.Finished:
return
slow = float(slow)
tunnel = float(tunnel)
if self._cooldown > 0:
self._cooldown -= 1
if self._std_val <= 0:
self._prev_slow = slow
self._prev_tunnel = tunnel
return
# Exit management
if self.Position > 0 and self._stop_price > 0:
if float(candle.LowPrice) <= self._stop_price or float(candle.HighPrice) >= self._take_price:
self.SellMarket()
self._stop_price = 0
self._take_price = 0
self._cooldown = 80
elif self.Position < 0 and self._stop_price > 0:
if float(candle.HighPrice) >= self._stop_price or float(candle.LowPrice) <= self._take_price:
self.BuyMarket()
self._stop_price = 0
self._take_price = 0
self._cooldown = 80
if self._cooldown > 0 or self._prev_slow == 0:
self._prev_slow = slow
self._prev_tunnel = tunnel
return
# Entry: slow EMA (144) crosses tunnel EMA (169)
slow_cross_above_tunnel = self._prev_slow <= self._prev_tunnel and slow > tunnel
slow_cross_below_tunnel = self._prev_slow >= self._prev_tunnel and slow < tunnel
if slow_cross_above_tunnel and float(candle.ClosePrice) > tunnel and self.Position <= 0:
self.BuyMarket()
entry = float(candle.ClosePrice)
self._stop_price = entry - float(self.stop_mult) * self._std_val
self._take_price = entry + (entry - self._stop_price) * float(self.risk_reward_ratio)
self._cooldown = 80
elif slow_cross_below_tunnel and float(candle.ClosePrice) < tunnel and self.Position >= 0:
self.SellMarket()
entry = float(candle.ClosePrice)
self._stop_price = entry + float(self.stop_mult) * self._std_val
self._take_price = entry - (self._stop_price - entry) * float(self.risk_reward_ratio)
self._cooldown = 80
self._prev_slow = slow
self._prev_tunnel = tunnel
def CreateClone(self):
return vegas_tunnel_strategy()