Super Trend
Стратегия основана на индикаторе Supertrend.
Тестирование показывает среднегодичную доходность около 67%. Стратегию лучше запускать на фондовом рынке.
Super Trend строит динамическую линию по ATR, которая чередуется между поддержкой и сопротивлением. Пересечение цены выше неё меняет уклон на бычий, ниже — на медвежий. Сделка завершается, когда линия разворачивается.
Следуя этой адаптивной линии, стратегия пытается захватывать устойчивые движения и снижать ложные входы. Стоп следует за ценой, фиксируя прибыль, когда импульс угасает.
Детали
- Критерии входа: сигналы на основе ATR, Supertrend.
- Длинные/короткие: оба направления.
- Критерии выхода: противоположный сигнал.
- Стопы: нет.
- Значения по умолчанию:
Period= 10Multiplier= 3.0mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Тренд
- Направление: Оба
- Индикаторы: ATR, Supertrend
- Стопы: Нет
- Сложность: Базовая
- Таймфрейм: Внутридневной (5m)
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: 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 based on Supertrend indicator.
/// It enters long position when price is above Supertrend line and short position when price is below Supertrend line.
/// </summary>
public class SupertrendStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<DataType> _candleType;
// Current state tracking
private bool _prevIsPriceAboveSupertrend;
private decimal _prevSupertrendValue;
/// <summary>
/// Period for Supertrend calculation.
/// </summary>
public int Period
{
get => _period.Value;
set => _period.Value = value;
}
/// <summary>
/// Multiplier for Supertrend calculation.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the Supertrend strategy.
/// </summary>
public SupertrendStrategy()
{
_period = Param(nameof(Period), 300)
.SetDisplay("Period", "Period for Supertrend calculation", "Indicators")
.SetOptimize(7, 21, 2);
_multiplier = Param(nameof(Multiplier), 50.0m)
.SetDisplay("Multiplier", "Multiplier for Supertrend calculation", "Indicators")
.SetOptimize(2.0m, 4.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevIsPriceAboveSupertrend = false;
_prevSupertrendValue = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create custom supertrend indicator
// Since StockSharp doesn't have a built-in Supertrend indicator,
// we'll use ATR to calculate the basic components
var atr = new AverageTrueRange { Length = Period };
// Create subscription
var subscription = SubscribeCandles(CandleType);
// We'll process candles manually and calculate Supertrend in the handler
subscription
.Bind(atr, ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal atrValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Calculate Supertrend components
var medianPrice = (candle.HighPrice + candle.LowPrice) / 2;
var basicUpperBand = medianPrice + Multiplier * atrValue;
var basicLowerBand = medianPrice - Multiplier * atrValue;
// We need to track previous values to implement the Supertrend logic
decimal supertrendValue;
// If this is the first processed candle, initialize values
if (_prevSupertrendValue == 0)
{
supertrendValue = candle.ClosePrice > medianPrice ? basicLowerBand : basicUpperBand;
_prevSupertrendValue = supertrendValue;
_prevIsPriceAboveSupertrend = candle.ClosePrice > supertrendValue;
return;
}
// Determine current Supertrend value based on previous value and current price
if (_prevSupertrendValue <= candle.HighPrice)
{
// Previous Supertrend was resistance
supertrendValue = Math.Max(basicLowerBand, _prevSupertrendValue);
}
else if (_prevSupertrendValue >= candle.LowPrice)
{
// Previous Supertrend was support
supertrendValue = Math.Min(basicUpperBand, _prevSupertrendValue);
}
else
{
// Price crossed the Supertrend
supertrendValue = candle.ClosePrice > _prevSupertrendValue ? basicLowerBand : basicUpperBand;
}
// Check if price is above or below Supertrend
var isPriceAboveSupertrend = candle.ClosePrice > supertrendValue;
// Detect crossovers
var isCrossedAbove = isPriceAboveSupertrend && !_prevIsPriceAboveSupertrend;
var isCrossedBelow = !isPriceAboveSupertrend && _prevIsPriceAboveSupertrend;
// Trading logic
if (isCrossedAbove && Position <= 0)
{
// Price crossed above Supertrend - Buy signal
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
LogInfo($"Buy signal: Price ({candle.ClosePrice}) crossed above Supertrend ({supertrendValue})");
}
else if (isCrossedBelow && Position >= 0)
{
// Price crossed below Supertrend - Sell signal
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
LogInfo($"Sell signal: Price ({candle.ClosePrice}) crossed below Supertrend ({supertrendValue})");
}
// Update state for the next candle
_prevSupertrendValue = supertrendValue;
_prevIsPriceAboveSupertrend = isPriceAboveSupertrend;
}
}
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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class supertrend_strategy(Strategy):
"""
Strategy based on Supertrend indicator.
Enters long when price crosses above Supertrend, short when price crosses below.
"""
def __init__(self):
super(supertrend_strategy, self).__init__()
self._period = self.Param("Period", 300).SetDisplay("Period", "Period for Supertrend calculation", "Indicators")
self._multiplier = self.Param("Multiplier", 50.0).SetDisplay("Multiplier", "Multiplier for Supertrend calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_is_price_above = False
self._prev_supertrend = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(supertrend_strategy, self).OnReseted()
self._prev_is_price_above = False
self._prev_supertrend = 0.0
def OnStarted2(self, time):
super(supertrend_strategy, self).OnStarted2(time)
atr = AverageTrueRange()
atr.Length = self._period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle, atr_val):
if candle.State != CandleStates.Finished:
return
atr_v = float(atr_val)
mult = float(self._multiplier.Value)
median = float(candle.HighPrice + candle.LowPrice) / 2.0
basic_upper = median + mult * atr_v
basic_lower = median - mult * atr_v
if self._prev_supertrend == 0:
st = basic_lower if float(candle.ClosePrice) > median else basic_upper
self._prev_supertrend = st
self._prev_is_price_above = float(candle.ClosePrice) > st
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
if self._prev_supertrend <= high:
st = max(basic_lower, self._prev_supertrend)
elif self._prev_supertrend >= low:
st = min(basic_upper, self._prev_supertrend)
else:
st = basic_lower if close > self._prev_supertrend else basic_upper
is_above = close > st
crossed_above = is_above and not self._prev_is_price_above
crossed_below = not is_above and self._prev_is_price_above
if crossed_above and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif crossed_below and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._prev_supertrend = st
self._prev_is_price_above = is_above
def CreateClone(self):
return supertrend_strategy()