Стратегия Multi Regression
Стратегия входит при пересечении цены с линией регрессии и управляет рисками через волатильностные границы. Опциональные стоп‑лосс и тейк‑профит рассчитываются на основе выбранной меры риска.
Детали
- Условия входа: Пересечение цены и регрессии.
- Длинные/Короткие: Оба направления.
- Условия выхода: Противоположный сигнал или достижение границ.
- Стопы: Опциональны, через
UseStopLossиUseTakeProfit. - Значения по умолчанию:
Length= 90RiskMeasure= AtrRiskMultiplier= 1UseStopLoss= trueUseTakeProfit= trueCandleType= TimeSpan.FromMinutes(1)
- Фильтры:
- Категория: Trend
- Направление: Оба
- Индикаторы: LinearRegression, ATR/StdDev/Bollinger/Keltner
- Стопы: Опциональны
- Сложность: Средняя
- Таймфрейм: Любой
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Риск: Средний
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that trades based on price crossing a moving average with StdDev-based bounds.
/// </summary>
public class MultiRegressionStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<decimal> _riskMultiplier;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
public int Length { get => _length.Value; set => _length.Value = value; }
public decimal RiskMultiplier { get => _riskMultiplier.Value; set => _riskMultiplier.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiRegressionStrategy()
{
_length = Param(nameof(Length), 20)
.SetGreaterThanZero()
.SetDisplay("Length", "SMA and StdDev period", "Regression");
_riskMultiplier = Param(nameof(RiskMultiplier), 2m)
.SetDisplay("Risk Multiplier", "StdDev multiplier for bounds", "Risk");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between reversals", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "Common");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sma = new SMA { Length = Length };
var std = new StandardDeviation { Length = Length };
var prevClose = 0m;
var prevUpper = 0m;
var prevLower = 0m;
var initialized = false;
var cooldownRemaining = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, std, (candle, smaVal, stdVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (cooldownRemaining > 0)
cooldownRemaining--;
var price = candle.ClosePrice;
if (!initialized)
{
prevClose = price;
prevUpper = smaVal + stdVal * RiskMultiplier;
prevLower = smaVal - stdVal * RiskMultiplier;
initialized = true;
return;
}
var upperBound = smaVal + stdVal * RiskMultiplier;
var lowerBound = smaVal - stdVal * RiskMultiplier;
var longEntry = prevClose < prevLower && price >= lowerBound;
var shortEntry = prevClose > prevUpper && price <= upperBound;
var longExit = Position > 0 && (price >= smaVal || price >= upperBound);
var shortExit = Position < 0 && (price <= smaVal || price <= lowerBound);
if (longExit)
{
SellMarket();
cooldownRemaining = SignalCooldownBars;
}
else if (shortExit)
{
BuyMarket(Math.Abs(Position));
cooldownRemaining = SignalCooldownBars;
}
else if (cooldownRemaining == 0 && longEntry && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
cooldownRemaining = SignalCooldownBars;
}
else if (cooldownRemaining == 0 && shortEntry && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
cooldownRemaining = SignalCooldownBars;
}
prevClose = price;
prevUpper = upperBound;
prevLower = lowerBound;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
}
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, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class multi_regression_strategy(Strategy):
def __init__(self):
super(multi_regression_strategy, self).__init__()
self._length = self.Param("Length", 20) \
.SetGreaterThanZero() \
.SetDisplay("Length", "SMA and StdDev period", "Regression")
self._risk_multiplier = self.Param("RiskMultiplier", 2.0) \
.SetDisplay("Risk Multiplier", "StdDev multiplier for bounds", "Risk")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 8) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown", "Bars to wait between reversals", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles", "Common")
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._initialized = False
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(multi_regression_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._initialized = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(multi_regression_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._initialized = False
self._cooldown_remaining = 0
self._sma = SimpleMovingAverage()
self._sma.Length = self._length.Value
self._std = StandardDeviation()
self._std.Length = self._length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._sma, self._std, self.OnProcess).Start()
def OnProcess(self, candle, sma_val, std_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
sv = float(sma_val)
sdv = float(std_val)
price = float(candle.ClosePrice)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
rm = float(self._risk_multiplier.Value)
if not self._initialized:
self._prev_close = price
self._prev_upper = sv + sdv * rm
self._prev_lower = sv - sdv * rm
self._initialized = True
return
upper_bound = sv + sdv * rm
lower_bound = sv - sdv * rm
long_entry = self._prev_close < self._prev_lower and price >= lower_bound
short_entry = self._prev_close > self._prev_upper and price <= upper_bound
long_exit = self.Position > 0 and (price >= sv or price >= upper_bound)
short_exit = self.Position < 0 and (price <= sv or price <= lower_bound)
cd = self._signal_cooldown_bars.Value
if long_exit:
self.SellMarket()
self._cooldown_remaining = cd
elif short_exit:
self.BuyMarket()
self._cooldown_remaining = cd
elif self._cooldown_remaining == 0 and long_entry and self.Position <= 0:
self.BuyMarket()
self._cooldown_remaining = cd
elif self._cooldown_remaining == 0 and short_entry and self.Position >= 0:
self.SellMarket()
self._cooldown_remaining = cd
self._prev_close = price
self._prev_upper = upper_bound
self._prev_lower = lower_bound
def CreateClone(self):
return multi_regression_strategy()