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RSI-Trend-Strategie
Die RSI-Trend-Strategie verwendet den Relative Strength Index (RSI), um Trendumkehrungen zu erkennen, und verwaltet Positionen mit einem ATR-basierten Trailing-Stop. Das System eröffnet eine Long-Position, wenn der RSI einen überkauften Schwellenwert überschreitet, und tritt in eine Short-Position ein, wenn der RSI unter einen überverkauften Schwellenwert fällt. Das Risiko wird mit einem Trailing-Stop gesteuert, der aus der Average True Range (ATR) abgeleitet wird, sodass sich das Stop-Niveau an die aktuelle Volatilität anpassen kann.
Diese Implementierung ist zu Bildungszwecken konzipiert und zeigt, wie man eine hochrangige StockSharp-Strategie mithilfe von Indikator-Bindings aufbaut. Die Strategie handelt nur auf abgeschlossenen Kerzen und referenziert keine vorherigen Indikatorwerte direkt, was den StockSharp Best Practices entspricht.
Details
Einstiegskriterien :
Long : RSI(t) > BuyLevel und RSI(t-1) <= BuyLevel.
Short : RSI(t) < SellLevel und RSI(t-1) >= SellLevel.
Long/Short : Beide Richtungen.
Ausstiegskriterien :
Trailing-Stop basierend auf ATR-Vielfachem.
Stops : Ja, dynamischer Trailing-Stop.
Standardwerte :
RSI Period = 14.
BuyLevel = 73.
SellLevel = 27.
ATR Period = 100.
ATR Multiple = 3.
Filter :
Kategorie: Trendfolge.
Richtung: Beide.
Indikatoren: RSI, ATR.
Stops: Ja.
Komplexität: Mittel.
Zeitrahmen: Beliebig (standardmäßig 1-Minuten-Kerzen).
Saisonalität: Nein.
Neuronale Netze: Nein.
Divergenz: Nein.
Risikolevel: Moderat.
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// RSI trend strategy with StdDev trailing stop.
/// </summary>
public class RsiTrendStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiBuyLevel;
private readonly StrategyParam<decimal> _rsiSellLevel;
private readonly StrategyParam<int> _stdevPeriod;
private readonly StrategyParam<decimal> _stdevMultiple;
private readonly StrategyParam<DataType> _candleType;
private decimal _previousRsi;
private bool _isRsiInitialized;
private decimal _stopPrice;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal RsiBuyLevel { get => _rsiBuyLevel.Value; set => _rsiBuyLevel.Value = value; }
public decimal RsiSellLevel { get => _rsiSellLevel.Value; set => _rsiSellLevel.Value = value; }
public int StdevPeriod { get => _stdevPeriod.Value; set => _stdevPeriod.Value = value; }
public decimal StdevMultiple { get => _stdevMultiple.Value; set => _stdevMultiple.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RsiTrendStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI calculation", "RSI Settings");
_rsiBuyLevel = Param(nameof(RsiBuyLevel), 60m)
.SetDisplay("RSI Buy Level", "Upper RSI barrier for long entries", "RSI Settings");
_rsiSellLevel = Param(nameof(RsiSellLevel), 40m)
.SetDisplay("RSI Sell Level", "Lower RSI barrier for short entries", "RSI Settings");
_stdevPeriod = Param(nameof(StdevPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("StdDev Period", "StdDev period for trailing stop", "Settings");
_stdevMultiple = Param(nameof(StdevMultiple), 2m)
.SetGreaterThanZero()
.SetDisplay("StdDev Multiple", "StdDev multiplier for trailing stop", "Settings");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for processing", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_previousRsi = 0;
_isRsiInitialized = false;
_stopPrice = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var stdev = new StandardDeviation { Length = StdevPeriod };
SubscribeCandles(CandleType)
.Bind(rsi, stdev, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal stdevValue)
{
if (candle.State != CandleStates.Finished) return;
if (stdevValue <= 0) return;
if (!_isRsiInitialized)
{
_previousRsi = rsiValue;
_isRsiInitialized = true;
return;
}
var bullish = rsiValue > RsiBuyLevel && _previousRsi <= RsiBuyLevel;
var bearish = rsiValue < RsiSellLevel && _previousRsi >= RsiSellLevel;
if (bullish && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_stopPrice = candle.ClosePrice - stdevValue * StdevMultiple;
}
else if (bearish && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_stopPrice = candle.ClosePrice + stdevValue * StdevMultiple;
}
if (Position > 0)
{
var newStop = candle.ClosePrice - stdevValue * StdevMultiple;
if (newStop > _stopPrice) _stopPrice = newStop;
if (candle.ClosePrice <= _stopPrice) SellMarket();
}
else if (Position < 0)
{
var newStop = candle.ClosePrice + stdevValue * StdevMultiple;
if (newStop < _stopPrice) _stopPrice = newStop;
if (candle.ClosePrice >= _stopPrice) BuyMarket();
}
_previousRsi = rsiValue;
}
}
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 RelativeStrengthIndex, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class rsi_trend_strategy(Strategy):
def __init__(self):
super(rsi_trend_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Period for RSI calculation", "RSI Settings")
self._rsi_buy_level = self.Param("RsiBuyLevel", 60.0) \
.SetDisplay("RSI Buy Level", "Upper RSI barrier for long entries", "RSI Settings")
self._rsi_sell_level = self.Param("RsiSellLevel", 40.0) \
.SetDisplay("RSI Sell Level", "Lower RSI barrier for short entries", "RSI Settings")
self._stdev_period = self.Param("StdevPeriod", 20) \
.SetDisplay("StdDev Period", "StdDev period for trailing stop", "Settings")
self._stdev_multiple = self.Param("StdevMultiple", 2.0) \
.SetDisplay("StdDev Multiple", "StdDev multiplier for trailing stop", "Settings")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles for processing", "General")
self._previous_rsi = 0.0
self._is_rsi_initialized = False
self._stop_price = 0.0
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_buy_level(self):
return self._rsi_buy_level.Value
@property
def rsi_sell_level(self):
return self._rsi_sell_level.Value
@property
def stdev_period(self):
return self._stdev_period.Value
@property
def stdev_multiple(self):
return self._stdev_multiple.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_trend_strategy, self).OnReseted()
self._previous_rsi = 0.0
self._is_rsi_initialized = False
self._stop_price = 0.0
def OnStarted2(self, time):
super(rsi_trend_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
stdev = StandardDeviation()
stdev.Length = self.stdev_period
self.SubscribeCandles(self.candle_type).Bind(rsi, stdev, self.process_candle).Start()
def process_candle(self, candle, rsi_value, stdev_value):
if candle.State != CandleStates.Finished:
return
sv = float(stdev_value)
if sv <= 0:
return
rv = float(rsi_value)
if not self._is_rsi_initialized:
self._previous_rsi = rv
self._is_rsi_initialized = True
return
buy_level = float(self.rsi_buy_level)
sell_level = float(self.rsi_sell_level)
sm = float(self.stdev_multiple)
close = float(candle.ClosePrice)
bullish = rv > buy_level and self._previous_rsi <= buy_level
bearish = rv < sell_level and self._previous_rsi >= sell_level
if bullish and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._stop_price = close - sv * sm
elif bearish and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._stop_price = close + sv * sm
if self.Position > 0:
new_stop = close - sv * sm
if new_stop > self._stop_price:
self._stop_price = new_stop
if close <= self._stop_price:
self.SellMarket()
elif self.Position < 0:
new_stop = close + sv * sm
if new_stop < self._stop_price:
self._stop_price = new_stop
if close >= self._stop_price:
self.BuyMarket()
self._previous_rsi = rv
def CreateClone(self):
return rsi_trend_strategy()