Дивергенция по RSI
Стратегия основана на дивергенции индикатора RSI.
Тестирование показывает среднегодичную доходность около 85%. Стратегию лучше запускать на крипторынке.
RSI Divergence ищет ценовые экстремумы, которые не подтверждаются осциллятором RSI. Бычья дивергенция приводит к покупке, а медвежья — к продаже. Сделка длится до разворота RSI или срабатывания стопа.
Дивергенции часто появляются под конец длительных трендов. Сравнивая поведение осциллятора с ценой, стратегия пытается поймать ранние развороты с контролируемым риском.
Подробности
- Критерии входа: сигналы на основе RSI.
- Длинные/короткие: оба направления.
- Критерии выхода: противоположный сигнал или стоп.
- Стопы: да.
- Параметры по умолчанию:
RsiPeriod= 14StopLossPercent= 2мCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Тренд
- Направление: Оба
- Индикаторы: RSI
- Стопы: Да
- Сложность: Базовая
- Таймфрейм: Внутридневной (5м)
- Сезонность: Нет
- Нейронные сети: Нет
- Дивергенция: Да
- Уровень риска: Средний
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Trades divergences between consecutive confirmed price pivots and their RSI values.
/// A three-bar pivot is confirmed only after the bar to its right has closed.
/// </summary>
public class RsiDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<(decimal High, decimal Low, decimal Rsi)> _bars = new();
private decimal _previousLowPrice;
private decimal _previousLowRsi;
private decimal _previousHighPrice;
private decimal _previousHighRsi;
private bool _hasLow;
private bool _hasHigh;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RsiDivergenceStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14).SetGreaterThanZero();
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetRange(0m, 100m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
ResetPivots();
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
ResetPivots();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ResetPivots()
{
_bars.Clear();
_previousLowPrice = _previousLowRsi = _previousHighPrice = _previousHighRsi = 0m;
_hasLow = _hasHigh = false;
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished || !IsFormedAndOnlineAndAllowTrading())
return;
_bars.Add((candle.HighPrice, candle.LowPrice, rsiValue));
if (_bars.Count < 3)
return;
var left = _bars[0];
var pivot = _bars[1];
var right = _bars[2];
var bullish = false;
var bearish = false;
if (pivot.Low < left.Low && pivot.Low < right.Low)
{
bullish = _hasLow && pivot.Low < _previousLowPrice && pivot.Rsi > _previousLowRsi;
_previousLowPrice = pivot.Low;
_previousLowRsi = pivot.Rsi;
_hasLow = true;
}
if (pivot.High > left.High && pivot.High > right.High)
{
bearish = _hasHigh && pivot.High > _previousHighPrice && pivot.Rsi < _previousHighRsi;
_previousHighPrice = pivot.High;
_previousHighRsi = pivot.Rsi;
_hasHigh = true;
}
_bars.RemoveAt(0);
if (bullish && Position <= 0m)
BuyMarket(Volume + Math.Abs(Position));
else if (bearish && Position >= 0m)
SellMarket(Volume + Math.Abs(Position));
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_divergence_strategy(Strategy):
"""Trades confirmed three-bar price pivots unconfirmed by RSI, without future bars."""
def __init__(self):
super(rsi_divergence_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero()
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetRange(0.0, 100.0)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._reset_pivots()
def GetWorkingSecurities(self):
return [(self.Security, self._candle_type.Value)]
def OnReseted(self):
super(rsi_divergence_strategy, self).OnReseted()
self._reset_pivots()
def _reset_pivots(self):
self._bars = []
self._previous_low = None
self._previous_high = None
def OnStarted2(self, time):
super(rsi_divergence_strategy, self).OnStarted2(time)
self._reset_pivots()
self.StartProtection(Unit(), Unit(float(self._stop_loss_percent.Value), UnitTypes.Percent),
useMarketOrders=True, isLocalStop=True)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self._candle_type.Value)
subscription.Bind(rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def _process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished or not self.IsFormedAndOnlineAndAllowTrading():
return
self._bars.append((candle.HighPrice, candle.LowPrice, rsi_value))
if len(self._bars) < 3:
return
left, pivot, right = self._bars
bullish = False
bearish = False
if pivot[1] < left[1] and pivot[1] < right[1]:
bullish = (self._previous_low is not None and
pivot[1] < self._previous_low[0] and pivot[2] > self._previous_low[1])
self._previous_low = (pivot[1], pivot[2])
if pivot[0] > left[0] and pivot[0] > right[0]:
bearish = (self._previous_high is not None and
pivot[0] > self._previous_high[0] and pivot[2] < self._previous_high[1])
self._previous_high = (pivot[0], pivot[2])
self._bars.pop(0)
if bullish and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif bearish and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
def CreateClone(self):
return rsi_divergence_strategy()