Supertrend с дивергенцией RSI
Стратегия Supertrend RSI Divergence использует индикатор Supertrend вместе с дивергенцией RSI для поиска торговых возможностей. Сигналы формируются, когда дивергенция подтверждает установки на внутридневных данных (15м). Такой подход подходит активным трейдерам. Стопы рассчитываются исходя из кратных ATR и параметров SupertrendPeriod, SupertrendMultiplier. Значения можно изменять для баланса риска и прибыли.
Тестирование показывает среднегодичную доходность около 67%. Стратегию лучше запускать на фондовом рынке.
Подробности
- Условия входа: см. реализацию для условий по индикаторам.
- Длинные/короткие позиции: обе стороны.
- Условия выхода: обратный сигнал или логика стопов.
- Стопы: да, вычисляются на основе индикаторов.
- Значения по умолчанию:
SupertrendPeriod = 10SupertrendMultiplier = 3.0mRsiPeriod = 14CandleType = TimeSpan.FromMinutes(15).TimeFrame()
- Фильтры:
- Категория: Следование за трендом
- Направление: Оба
- Индикаторы: Divergence
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной (15m)
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Да
- 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 that uses Supertrend indicator along with RSI divergence to identify trading opportunities.
/// </summary>
public class SupertrendRsiDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _supertrendPeriod;
private readonly StrategyParam<decimal> _supertrendMultiplier;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private SuperTrend _supertrend;
private RelativeStrengthIndex _rsi;
// Data for divergence detection
private readonly SynchronizedList<decimal> _prices = [];
private readonly SynchronizedList<decimal> _rsiValues = [];
// Supertrend state tracking
private decimal _supertrendValue;
private TrendDirections _trendDirection = TrendDirections.None;
/// <summary>
/// Supertrend period.
/// </summary>
public int SupertrendPeriod
{
get => _supertrendPeriod.Value;
set => _supertrendPeriod.Value = value;
}
/// <summary>
/// Supertrend multiplier.
/// </summary>
public decimal SupertrendMultiplier
{
get => _supertrendMultiplier.Value;
set => _supertrendMultiplier.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Candle type to use for the strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="SupertrendRsiDivergenceStrategy"/>.
/// </summary>
public SupertrendRsiDivergenceStrategy()
{
_supertrendPeriod = Param(nameof(SupertrendPeriod), 10)
.SetDisplay("Supertrend Period", "Supertrend ATR period", "Supertrend")
.SetOptimize(5, 20, 1);
_supertrendMultiplier = Param(nameof(SupertrendMultiplier), 3.0m)
.SetDisplay("Supertrend Multiplier", "Supertrend ATR multiplier", "Supertrend")
.SetOptimize(2.0m, 5.0m, 0.5m);
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI period for divergence detection", "RSI")
.SetOptimize(8, 20, 2);
_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();
_prices.Clear();
_rsiValues.Clear();
_trendDirection = TrendDirections.None;
_supertrendValue = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_supertrend = new SuperTrend
{
Length = SupertrendPeriod,
Multiplier = SupertrendMultiplier
};
_rsi = new RelativeStrengthIndex
{
Length = RsiPeriod
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_supertrend, _rsi, ProcessCandle)
.Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent));
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _supertrend);
DrawIndicator(area, _rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal supertrendValue, decimal rsiValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Extract values from indicators
_supertrendValue = supertrendValue;
decimal rsi = rsiValue;
// Store values for divergence calculation
_prices.Add(candle.ClosePrice);
_rsiValues.Add(rsi);
// Keep reasonable history
while (_prices.Count > 50)
{
_prices.RemoveAt(0);
_rsiValues.RemoveAt(0);
}
// Determine Supertrend trend direction
TrendDirections previousDirection = _trendDirection;
if (candle.ClosePrice > _supertrendValue)
_trendDirection = TrendDirections.Up;
else if (candle.ClosePrice < _supertrendValue)
_trendDirection = TrendDirections.Down;
// Check for trend direction change
bool trendDirectionChanged = previousDirection != TrendDirections.None && previousDirection != _trendDirection;
// Check for divergence
bool bullishDivergence = CheckBullishDivergence();
bool bearishDivergence = CheckBearishDivergence();
if (Position != 0)
return;
// Bullish setup - price above Supertrend with RSI not overbought
if (candle.ClosePrice > _supertrendValue && rsi < 60m)
BuyMarket();
// Bearish setup - price below Supertrend with RSI not oversold
else if (candle.ClosePrice < _supertrendValue && rsi > 40m)
SellMarket();
}
private bool CheckBullishDivergence()
{
// Need at least a few candles for divergence check
if (_prices.Count < 5 || _rsiValues.Count < 5)
return false;
// Check for bullish divergence: price making lower lows while RSI making higher lows
// Look at the last 5 candles for a simple check
decimal currentPrice = _prices[_prices.Count - 1];
decimal previousPrice = _prices[_prices.Count - 2];
decimal currentRsi = _rsiValues[_rsiValues.Count - 1];
decimal previousRsi = _rsiValues[_rsiValues.Count - 2];
// Bullish divergence: price lower but RSI higher
bool divergence = currentPrice < previousPrice && currentRsi > previousRsi;
if (divergence)
{
LogInfo($"Bullish Divergence Detected: Price {previousPrice:F2}->{currentPrice:F2}, RSI {previousRsi:F2}->{currentRsi:F2}");
}
return divergence;
}
private bool CheckBearishDivergence()
{
// Need at least a few candles for divergence check
if (_prices.Count < 5 || _rsiValues.Count < 5)
return false;
// Check for bearish divergence: price making higher highs while RSI making lower highs
// Look at the last 5 candles for a simple check
decimal currentPrice = _prices[_prices.Count - 1];
decimal previousPrice = _prices[_prices.Count - 2];
decimal currentRsi = _rsiValues[_rsiValues.Count - 1];
decimal previousRsi = _rsiValues[_rsiValues.Count - 2];
// Bearish divergence: price higher but RSI lower
bool divergence = currentPrice > previousPrice && currentRsi < previousRsi;
if (divergence)
{
LogInfo($"Bearish Divergence Detected: Price {previousPrice:F2}->{currentPrice:F2}, RSI {previousRsi:F2}->{currentRsi:F2}");
}
return divergence;
}
// Trend direction enum for tracking Supertrend state
private enum TrendDirections
{
None,
Up,
Down
}
}
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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import SuperTrend, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class supertrend_rsi_divergence_strategy(Strategy):
"""
Strategy that uses Supertrend indicator along with RSI divergence to identify trading opportunities.
"""
def __init__(self):
super(supertrend_rsi_divergence_strategy, self).__init__()
self._supertrend_period = self.Param("SupertrendPeriod", 10) \
.SetDisplay("Supertrend Period", "Supertrend ATR period", "Supertrend")
self._supertrend_multiplier = self.Param("SupertrendMultiplier", 3.0) \
.SetDisplay("Supertrend Multiplier", "Supertrend ATR multiplier", "Supertrend")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period for divergence detection", "RSI")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prices = []
self._rsi_values = []
self._supertrend_val = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(supertrend_rsi_divergence_strategy, self).OnReseted()
self._prices = []
self._rsi_values = []
self._supertrend_val = 0.0
def OnStarted2(self, time):
super(supertrend_rsi_divergence_strategy, self).OnStarted2(time)
supertrend = SuperTrend()
supertrend.Length = int(self._supertrend_period.Value)
supertrend.Multiplier = Decimal(self._supertrend_multiplier.Value)
rsi = RelativeStrengthIndex()
rsi.Length = int(self._rsi_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(supertrend, rsi, self._process_candle).Start()
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(1, UnitTypes.Percent)
)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, supertrend)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def _process_candle(self, candle, supertrend_value, rsi_value):
if candle.State != CandleStates.Finished:
return
self._supertrend_val = float(supertrend_value)
rsi = float(rsi_value)
close_price = float(candle.ClosePrice)
self._prices.append(close_price)
self._rsi_values.append(rsi)
while len(self._prices) > 50:
self._prices.pop(0)
self._rsi_values.pop(0)
if self.Position != 0:
return
if close_price > self._supertrend_val and rsi < 60.0:
self.BuyMarket()
elif close_price < self._supertrend_val and rsi > 40.0:
self.SellMarket()
def CreateClone(self):
return supertrend_rsi_divergence_strategy()